39
Gr¨ obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics Seminar, UCLA 8 Oct 2020 Joint with Zachary Hamaker (Florida) and Anna Weigandt (Michigan) arXiv:2003.13719 Oliver Pechenik University of Waterloo Gr¨ obner geometry of Schubert polynomials through ice

Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

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Page 1: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

Grobner geometry of Schubert polynomialsthrough ice

Oliver PechenikUniversity of Waterloo

Combinatorics Seminar UCLA8 Oct 2020

Joint with Zachary Hamaker (Florida) andAnna Weigandt (Michigan)

arXiv200313719

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The complete flag variety

The complete flag variety Fℓ(Cn) is the set of complete flags ofnested vector subspaces

0 = V0 sub V1 sub V2 sub middot middot middot sub Vn = Cn

where dimVi = i

Example

Standard flag SF sub sub sub sub = C4

Since Fℓ(Cn) has transitive action of GLn we can identify it withGLn(C)Stab(SF) = GLn(C)U where U = upper triangularmatrices

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Schubert varieties

Bruhat decomposition GLn =983139

wisinSn LwU

Schubert cells X w = LwUU sub Fℓ(Cn)

Schubert varieties Xw = X w give a complex cell decomposition

of F ℓ(Cn)

Schubert classes [Xw ] form a basis for the cohomology ring

H983183(Fℓ(Cn)) sim= Z[x1 xn]Z[x1 xn]Sn+

Lascoux and Schutzenberger (1982) introduced a ldquonicerdquo choice forpolynomial representatives of these classes

[Xw ] 983041rarr Sw (x1 xn) a Schubert polynomial

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Schubert polynomials are nice

No cleanup Su middotSv =983123

w cwuvSw hArr [Xu] middot [Xv ] =983123

w cwuv [Xw ]

Stability For w isin Sn Sw = Sι(w) where ι Sn rarr Sn+1 is thenatural inclusion

Monomial positivityS14523 = x21x

22 + x21x2x3 + x21x

23 + x1x

22x3 + x1x2x

23 + x22x

23

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The definition of Sw(x)

Start with the longest permutation in Sn

w0 = n n minus 1 1 Sw0(x) = xnminus11 xnminus2

2 xnminus1

The rest are defined recursively by divided differenceoperators

parti f =f minus si middot fxi minus xi+1

and Swsi (x) = partiSw (x) if w(i) gt w(i+1)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Double Schubert polynomials

The diagonal matrices D GLn(C)U preserving the Schubertvarieties

D-equivariant Schubert classes [Xw ]D isin H983183D(Fℓ(Cn))

There are also double Schubert polynomials which are definedby the same operators with the initial condition

Sw0(x y) =983132

i+jlen

(xi minus yj)

Sw (x y) represents [Xw ]D

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Pipe dreams

A pipe dream is a tiling of the n times n grid with the four tiles sothat there are n pipes which

start at the left edge of the grid

end at the top edge

pairwise cross at most once

We also require that only appear on the main anti-diagonal

and only appear below

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The permutation of a pipe dream

Write PD(w) for the set of pipe dreams which trace out thepermutation w

1

2

3

4

If a ⊞ tile sits in row i and column j assign it the weight (xi minus yj)The weight of a pipe dream is the product of the weights of itscrossing tiles

wt(P) =

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Pipe dreams for double Schuberts

Theorem (Fomin-Kirillov 1996 Knutson-Miller 2005)

The double Schubert polynomial Sw (x y) is the weighted sum

Sw (x y) =983131

PisinPD(w)

wt(P)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Equivariant cohomology

The group D times D acts on Mat(n) =

983099983105983105983105983103

983105983105983105983101

983093

983097983097983097983095

z11 z12 middot middot middot z1nz21 z22 middot middot middot z2n

zn1 zn2 middot middot middot znn

983094

983098983098983098983096

983100983105983105983105983104

983105983105983105983102by

(d δ) middotM = dMδminus1

Since Mat(n) is contractible

HDtimesD(Mat(n)) = HDtimesD(pt) = O(dtimesd) = Z[x1 xn y1 yn]

Whenever X isin Mat(n) is stable under the action of D times D it hasa class [X ]DtimesD isin HDtimesD(Mat(n)) = Z[x y]

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Matrix Schubert varieties

The matrix Schubert variety (Fulton 1992) Xw = LwU sube Mat(n)is defined by rank conditions on maximal northwest submatrices

Theorem (Knutson-Miller 2005)

The D times D-equivariant cohomology class of a matrix Schubertvariety is the corresponding double Schubert polynomial

[Xw ]DtimesD = Sw (x y)

Another goal of Knutson-Miller was to exhibit a geometricallynatural explanation for the pipe dream formula for Schubertpolynomials

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Computing equivariant classes

Axioms for equivariant cohomologyFor B sub ntimesn let CB be the coordinate subspace 〈zij (i j) isin B〉

HDtimesD(CB) =983124

(i j)isinB(xi minus yj)

if X =983126m

i=1 Xi is a reduced scheme then

HDtimesD(X ) =983131

j

HDtimesD(Xj)

where the sum is over Xj with dimXj = dimX

If in≺X is a Grobner degeneration of X thenHDtimesD(X ) = HDtimesD(in≺X )

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Grobner degeneration

Choose a term order ≺ so that we have a initial term in≺f forevery f isin C[z]

Write in≺S = 〈in≺f f isin S〉

We write in≺X for the vanishing locus of in≺I (X ) where I (X ) isthe ideal of all polynomials vanishing on X in≺X is a Grobnerdegeneration of X

Since in≺I (X ) is generated by monomials in≺X is a union ofcoordinate subspaces But which ones

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Grobner bases

If I = 〈S〉 thenin≺I supe in≺S

Definition (Buchberger 1965)

S is a Grobner basis for the ideal I if I = 〈S〉 and in≺I = in≺S

A (anti)diagonal term order on C[z] is one where the initial termof any minor is the product of its main (anti)diagonal

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to an antidiagonal term order Itturns out these two polynomials are a Grobner basis so

in≺a I (X2143) = 〈z11 z13z22z31〉= 〈z11 z31〉 cap 〈z11 z22〉 cap 〈z11 z13〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to an antidiagonal term order Itturns out these two polynomials are a Grobner basis so

in≺a I (X2143) = 〈z11 z13z22z31〉= 〈z11 z31〉 cap 〈z11 z22〉 cap 〈z11 z13〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Pipe dreams are natural

Theorem (Knutson-Miller 2005)

With respect to an antidiagonal term order the lsquoobviousrsquogenerators for I (Xw ) are a Grobner basis

Theorem (Knutson-Miller 2005)

The initial scheme of Xw with respect to an antidiagonal termorder is a union of coordinate subspaces indexed by PD(w)

in≺a(Xw ) =983134

PisinPD(w)

C⊞(P)

Hence

Sw (x y) =983131

PisinPD(w)

HDtimesD(C⊞(P)) =983131

PisinPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Why ice

Do not consume

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

What is Lascouxrsquos formula

Letrsquos use different notation

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

From ice to bumpless pipe dreams

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Bumpless pipe dreams

A bumpless pipe dream (Lam-Lee-Shimozono 2018) is a tiling ofthe n times n grid with the six tiles pictured above so that there are npipes which

1 start at the right edge of the grid

2 end at the bottom edge and

3 pairwise cross at most one time

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The permutation of a bumpless pipe dream

1 2 3 4 5

Write BPD(w) for the set of bumpless pipe dreams of thepermutation w

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The weight of a bumpless pipe dream

If a tile sits in row i and column j assign it the weight (xi minus yj)The weight of a bumpless pipe dream is the product of the weightsof its tiles

y1 y2 y3 y4 y5

x1

x2

x3

x4

x5

wt(P) =

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Another Schubert formula

Theorem (Lam-Lee-Shimozono 2018 Lascoux 2002 Weigandt2020)

The double Schubert polynomial Sw (x y) is the partition function

Sw (x y) =983131

PisinBPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

First conjecture

Conjecture (Hamaker-P-Weigandt 2020)

If in≺d(Xw ) is reduced then

in≺d(Xw ) =

983134

PisinBPD(w)

C(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

True for vexillary permutations

A permutation is vexillary if it avoids the pattern 2143

Theorem (Knutson-Miller-Yong 2009)

With respect to a diagonal term order the lsquoobviousrsquo definingequations for I (Xw ) are a Grobner basis hArr w is vexillary

Theorem (Knutson-Miller-Yong 2009 Weigandt 2020)

The conjecture holds for w vexillary

2 2

3

1 2

3

1 2

2

1 1

3

1 1

2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Different generators

Take the lsquoobviousrsquo defining equations for I (Xw ) Some ofthem may be single variables zij Throw away all other termsthat contain them These are the CDG generators(Conca-De Negri-Gorla 2015)

A permutation is predominant if its Lehmer code is of theform λ0mℓ for some partition λ and m ℓ isin N

Theorem (Hamaker-P-Weigandt 2020)

If w is predominant then in≺d(Xw ) is reduced and CDG and the

main conjecture holds for w

w = 42153

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

CDG permutations

Theorem (Conj Hamaker-P-Weigandt 2020 Proved Klein 2020)

With respect to any diagonal term order the CDG generators forI (Xw ) are Grobner hArr w avoids the eight patterns 13254 21543214635 215364 241635 315264 215634 4261735 in S7

Corollary (Hamaker-P-Weigandt 2020 Klein 2020)

If Sw is a multiplicity-free sum of monomials then the CDGgenerators for I (Xw ) are diagonal Grobner

Proof

By comparing with the pattern conditions for multiplicity-freenessof Fink-Meszaros-St Dizier (2020)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Non-reduced degenerations

Given a scheme X and a reduced irreducible variety Y writemultY (X ) for the multiplicity of X along Y

Equivariant cohomology satisfies

HDtimesD(X ) =983131

j

multXj(X )HDtimesD(Xj)

where the sum is over the top-dimensional components of X

Example X = Spec(C[x y ]〈x2y〉) Then multx-axis(X ) = 1 andmulty-axis(X ) = 2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 2: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

The complete flag variety

The complete flag variety Fℓ(Cn) is the set of complete flags ofnested vector subspaces

0 = V0 sub V1 sub V2 sub middot middot middot sub Vn = Cn

where dimVi = i

Example

Standard flag SF sub sub sub sub = C4

Since Fℓ(Cn) has transitive action of GLn we can identify it withGLn(C)Stab(SF) = GLn(C)U where U = upper triangularmatrices

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Schubert varieties

Bruhat decomposition GLn =983139

wisinSn LwU

Schubert cells X w = LwUU sub Fℓ(Cn)

Schubert varieties Xw = X w give a complex cell decomposition

of F ℓ(Cn)

Schubert classes [Xw ] form a basis for the cohomology ring

H983183(Fℓ(Cn)) sim= Z[x1 xn]Z[x1 xn]Sn+

Lascoux and Schutzenberger (1982) introduced a ldquonicerdquo choice forpolynomial representatives of these classes

[Xw ] 983041rarr Sw (x1 xn) a Schubert polynomial

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Schubert polynomials are nice

No cleanup Su middotSv =983123

w cwuvSw hArr [Xu] middot [Xv ] =983123

w cwuv [Xw ]

Stability For w isin Sn Sw = Sι(w) where ι Sn rarr Sn+1 is thenatural inclusion

Monomial positivityS14523 = x21x

22 + x21x2x3 + x21x

23 + x1x

22x3 + x1x2x

23 + x22x

23

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The definition of Sw(x)

Start with the longest permutation in Sn

w0 = n n minus 1 1 Sw0(x) = xnminus11 xnminus2

2 xnminus1

The rest are defined recursively by divided differenceoperators

parti f =f minus si middot fxi minus xi+1

and Swsi (x) = partiSw (x) if w(i) gt w(i+1)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Double Schubert polynomials

The diagonal matrices D GLn(C)U preserving the Schubertvarieties

D-equivariant Schubert classes [Xw ]D isin H983183D(Fℓ(Cn))

There are also double Schubert polynomials which are definedby the same operators with the initial condition

Sw0(x y) =983132

i+jlen

(xi minus yj)

Sw (x y) represents [Xw ]D

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Pipe dreams

A pipe dream is a tiling of the n times n grid with the four tiles sothat there are n pipes which

start at the left edge of the grid

end at the top edge

pairwise cross at most once

We also require that only appear on the main anti-diagonal

and only appear below

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The permutation of a pipe dream

Write PD(w) for the set of pipe dreams which trace out thepermutation w

1

2

3

4

If a ⊞ tile sits in row i and column j assign it the weight (xi minus yj)The weight of a pipe dream is the product of the weights of itscrossing tiles

wt(P) =

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Pipe dreams for double Schuberts

Theorem (Fomin-Kirillov 1996 Knutson-Miller 2005)

The double Schubert polynomial Sw (x y) is the weighted sum

Sw (x y) =983131

PisinPD(w)

wt(P)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Equivariant cohomology

The group D times D acts on Mat(n) =

983099983105983105983105983103

983105983105983105983101

983093

983097983097983097983095

z11 z12 middot middot middot z1nz21 z22 middot middot middot z2n

zn1 zn2 middot middot middot znn

983094

983098983098983098983096

983100983105983105983105983104

983105983105983105983102by

(d δ) middotM = dMδminus1

Since Mat(n) is contractible

HDtimesD(Mat(n)) = HDtimesD(pt) = O(dtimesd) = Z[x1 xn y1 yn]

Whenever X isin Mat(n) is stable under the action of D times D it hasa class [X ]DtimesD isin HDtimesD(Mat(n)) = Z[x y]

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Matrix Schubert varieties

The matrix Schubert variety (Fulton 1992) Xw = LwU sube Mat(n)is defined by rank conditions on maximal northwest submatrices

Theorem (Knutson-Miller 2005)

The D times D-equivariant cohomology class of a matrix Schubertvariety is the corresponding double Schubert polynomial

[Xw ]DtimesD = Sw (x y)

Another goal of Knutson-Miller was to exhibit a geometricallynatural explanation for the pipe dream formula for Schubertpolynomials

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Computing equivariant classes

Axioms for equivariant cohomologyFor B sub ntimesn let CB be the coordinate subspace 〈zij (i j) isin B〉

HDtimesD(CB) =983124

(i j)isinB(xi minus yj)

if X =983126m

i=1 Xi is a reduced scheme then

HDtimesD(X ) =983131

j

HDtimesD(Xj)

where the sum is over Xj with dimXj = dimX

If in≺X is a Grobner degeneration of X thenHDtimesD(X ) = HDtimesD(in≺X )

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Grobner degeneration

Choose a term order ≺ so that we have a initial term in≺f forevery f isin C[z]

Write in≺S = 〈in≺f f isin S〉

We write in≺X for the vanishing locus of in≺I (X ) where I (X ) isthe ideal of all polynomials vanishing on X in≺X is a Grobnerdegeneration of X

Since in≺I (X ) is generated by monomials in≺X is a union ofcoordinate subspaces But which ones

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Grobner bases

If I = 〈S〉 thenin≺I supe in≺S

Definition (Buchberger 1965)

S is a Grobner basis for the ideal I if I = 〈S〉 and in≺I = in≺S

A (anti)diagonal term order on C[z] is one where the initial termof any minor is the product of its main (anti)diagonal

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to an antidiagonal term order Itturns out these two polynomials are a Grobner basis so

in≺a I (X2143) = 〈z11 z13z22z31〉= 〈z11 z31〉 cap 〈z11 z22〉 cap 〈z11 z13〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to an antidiagonal term order Itturns out these two polynomials are a Grobner basis so

in≺a I (X2143) = 〈z11 z13z22z31〉= 〈z11 z31〉 cap 〈z11 z22〉 cap 〈z11 z13〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Pipe dreams are natural

Theorem (Knutson-Miller 2005)

With respect to an antidiagonal term order the lsquoobviousrsquogenerators for I (Xw ) are a Grobner basis

Theorem (Knutson-Miller 2005)

The initial scheme of Xw with respect to an antidiagonal termorder is a union of coordinate subspaces indexed by PD(w)

in≺a(Xw ) =983134

PisinPD(w)

C⊞(P)

Hence

Sw (x y) =983131

PisinPD(w)

HDtimesD(C⊞(P)) =983131

PisinPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Why ice

Do not consume

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

What is Lascouxrsquos formula

Letrsquos use different notation

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

From ice to bumpless pipe dreams

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Bumpless pipe dreams

A bumpless pipe dream (Lam-Lee-Shimozono 2018) is a tiling ofthe n times n grid with the six tiles pictured above so that there are npipes which

1 start at the right edge of the grid

2 end at the bottom edge and

3 pairwise cross at most one time

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The permutation of a bumpless pipe dream

1 2 3 4 5

Write BPD(w) for the set of bumpless pipe dreams of thepermutation w

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The weight of a bumpless pipe dream

If a tile sits in row i and column j assign it the weight (xi minus yj)The weight of a bumpless pipe dream is the product of the weightsof its tiles

y1 y2 y3 y4 y5

x1

x2

x3

x4

x5

wt(P) =

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Another Schubert formula

Theorem (Lam-Lee-Shimozono 2018 Lascoux 2002 Weigandt2020)

The double Schubert polynomial Sw (x y) is the partition function

Sw (x y) =983131

PisinBPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

First conjecture

Conjecture (Hamaker-P-Weigandt 2020)

If in≺d(Xw ) is reduced then

in≺d(Xw ) =

983134

PisinBPD(w)

C(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

True for vexillary permutations

A permutation is vexillary if it avoids the pattern 2143

Theorem (Knutson-Miller-Yong 2009)

With respect to a diagonal term order the lsquoobviousrsquo definingequations for I (Xw ) are a Grobner basis hArr w is vexillary

Theorem (Knutson-Miller-Yong 2009 Weigandt 2020)

The conjecture holds for w vexillary

2 2

3

1 2

3

1 2

2

1 1

3

1 1

2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Different generators

Take the lsquoobviousrsquo defining equations for I (Xw ) Some ofthem may be single variables zij Throw away all other termsthat contain them These are the CDG generators(Conca-De Negri-Gorla 2015)

A permutation is predominant if its Lehmer code is of theform λ0mℓ for some partition λ and m ℓ isin N

Theorem (Hamaker-P-Weigandt 2020)

If w is predominant then in≺d(Xw ) is reduced and CDG and the

main conjecture holds for w

w = 42153

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

CDG permutations

Theorem (Conj Hamaker-P-Weigandt 2020 Proved Klein 2020)

With respect to any diagonal term order the CDG generators forI (Xw ) are Grobner hArr w avoids the eight patterns 13254 21543214635 215364 241635 315264 215634 4261735 in S7

Corollary (Hamaker-P-Weigandt 2020 Klein 2020)

If Sw is a multiplicity-free sum of monomials then the CDGgenerators for I (Xw ) are diagonal Grobner

Proof

By comparing with the pattern conditions for multiplicity-freenessof Fink-Meszaros-St Dizier (2020)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Non-reduced degenerations

Given a scheme X and a reduced irreducible variety Y writemultY (X ) for the multiplicity of X along Y

Equivariant cohomology satisfies

HDtimesD(X ) =983131

j

multXj(X )HDtimesD(Xj)

where the sum is over the top-dimensional components of X

Example X = Spec(C[x y ]〈x2y〉) Then multx-axis(X ) = 1 andmulty-axis(X ) = 2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 3: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

Schubert varieties

Bruhat decomposition GLn =983139

wisinSn LwU

Schubert cells X w = LwUU sub Fℓ(Cn)

Schubert varieties Xw = X w give a complex cell decomposition

of F ℓ(Cn)

Schubert classes [Xw ] form a basis for the cohomology ring

H983183(Fℓ(Cn)) sim= Z[x1 xn]Z[x1 xn]Sn+

Lascoux and Schutzenberger (1982) introduced a ldquonicerdquo choice forpolynomial representatives of these classes

[Xw ] 983041rarr Sw (x1 xn) a Schubert polynomial

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Schubert polynomials are nice

No cleanup Su middotSv =983123

w cwuvSw hArr [Xu] middot [Xv ] =983123

w cwuv [Xw ]

Stability For w isin Sn Sw = Sι(w) where ι Sn rarr Sn+1 is thenatural inclusion

Monomial positivityS14523 = x21x

22 + x21x2x3 + x21x

23 + x1x

22x3 + x1x2x

23 + x22x

23

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The definition of Sw(x)

Start with the longest permutation in Sn

w0 = n n minus 1 1 Sw0(x) = xnminus11 xnminus2

2 xnminus1

The rest are defined recursively by divided differenceoperators

parti f =f minus si middot fxi minus xi+1

and Swsi (x) = partiSw (x) if w(i) gt w(i+1)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Double Schubert polynomials

The diagonal matrices D GLn(C)U preserving the Schubertvarieties

D-equivariant Schubert classes [Xw ]D isin H983183D(Fℓ(Cn))

There are also double Schubert polynomials which are definedby the same operators with the initial condition

Sw0(x y) =983132

i+jlen

(xi minus yj)

Sw (x y) represents [Xw ]D

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Pipe dreams

A pipe dream is a tiling of the n times n grid with the four tiles sothat there are n pipes which

start at the left edge of the grid

end at the top edge

pairwise cross at most once

We also require that only appear on the main anti-diagonal

and only appear below

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The permutation of a pipe dream

Write PD(w) for the set of pipe dreams which trace out thepermutation w

1

2

3

4

If a ⊞ tile sits in row i and column j assign it the weight (xi minus yj)The weight of a pipe dream is the product of the weights of itscrossing tiles

wt(P) =

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Pipe dreams for double Schuberts

Theorem (Fomin-Kirillov 1996 Knutson-Miller 2005)

The double Schubert polynomial Sw (x y) is the weighted sum

Sw (x y) =983131

PisinPD(w)

wt(P)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Equivariant cohomology

The group D times D acts on Mat(n) =

983099983105983105983105983103

983105983105983105983101

983093

983097983097983097983095

z11 z12 middot middot middot z1nz21 z22 middot middot middot z2n

zn1 zn2 middot middot middot znn

983094

983098983098983098983096

983100983105983105983105983104

983105983105983105983102by

(d δ) middotM = dMδminus1

Since Mat(n) is contractible

HDtimesD(Mat(n)) = HDtimesD(pt) = O(dtimesd) = Z[x1 xn y1 yn]

Whenever X isin Mat(n) is stable under the action of D times D it hasa class [X ]DtimesD isin HDtimesD(Mat(n)) = Z[x y]

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Matrix Schubert varieties

The matrix Schubert variety (Fulton 1992) Xw = LwU sube Mat(n)is defined by rank conditions on maximal northwest submatrices

Theorem (Knutson-Miller 2005)

The D times D-equivariant cohomology class of a matrix Schubertvariety is the corresponding double Schubert polynomial

[Xw ]DtimesD = Sw (x y)

Another goal of Knutson-Miller was to exhibit a geometricallynatural explanation for the pipe dream formula for Schubertpolynomials

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Computing equivariant classes

Axioms for equivariant cohomologyFor B sub ntimesn let CB be the coordinate subspace 〈zij (i j) isin B〉

HDtimesD(CB) =983124

(i j)isinB(xi minus yj)

if X =983126m

i=1 Xi is a reduced scheme then

HDtimesD(X ) =983131

j

HDtimesD(Xj)

where the sum is over Xj with dimXj = dimX

If in≺X is a Grobner degeneration of X thenHDtimesD(X ) = HDtimesD(in≺X )

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Grobner degeneration

Choose a term order ≺ so that we have a initial term in≺f forevery f isin C[z]

Write in≺S = 〈in≺f f isin S〉

We write in≺X for the vanishing locus of in≺I (X ) where I (X ) isthe ideal of all polynomials vanishing on X in≺X is a Grobnerdegeneration of X

Since in≺I (X ) is generated by monomials in≺X is a union ofcoordinate subspaces But which ones

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Grobner bases

If I = 〈S〉 thenin≺I supe in≺S

Definition (Buchberger 1965)

S is a Grobner basis for the ideal I if I = 〈S〉 and in≺I = in≺S

A (anti)diagonal term order on C[z] is one where the initial termof any minor is the product of its main (anti)diagonal

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to an antidiagonal term order Itturns out these two polynomials are a Grobner basis so

in≺a I (X2143) = 〈z11 z13z22z31〉= 〈z11 z31〉 cap 〈z11 z22〉 cap 〈z11 z13〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to an antidiagonal term order Itturns out these two polynomials are a Grobner basis so

in≺a I (X2143) = 〈z11 z13z22z31〉= 〈z11 z31〉 cap 〈z11 z22〉 cap 〈z11 z13〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Pipe dreams are natural

Theorem (Knutson-Miller 2005)

With respect to an antidiagonal term order the lsquoobviousrsquogenerators for I (Xw ) are a Grobner basis

Theorem (Knutson-Miller 2005)

The initial scheme of Xw with respect to an antidiagonal termorder is a union of coordinate subspaces indexed by PD(w)

in≺a(Xw ) =983134

PisinPD(w)

C⊞(P)

Hence

Sw (x y) =983131

PisinPD(w)

HDtimesD(C⊞(P)) =983131

PisinPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Why ice

Do not consume

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

What is Lascouxrsquos formula

Letrsquos use different notation

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

From ice to bumpless pipe dreams

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Bumpless pipe dreams

A bumpless pipe dream (Lam-Lee-Shimozono 2018) is a tiling ofthe n times n grid with the six tiles pictured above so that there are npipes which

1 start at the right edge of the grid

2 end at the bottom edge and

3 pairwise cross at most one time

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The permutation of a bumpless pipe dream

1 2 3 4 5

Write BPD(w) for the set of bumpless pipe dreams of thepermutation w

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The weight of a bumpless pipe dream

If a tile sits in row i and column j assign it the weight (xi minus yj)The weight of a bumpless pipe dream is the product of the weightsof its tiles

y1 y2 y3 y4 y5

x1

x2

x3

x4

x5

wt(P) =

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Another Schubert formula

Theorem (Lam-Lee-Shimozono 2018 Lascoux 2002 Weigandt2020)

The double Schubert polynomial Sw (x y) is the partition function

Sw (x y) =983131

PisinBPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

First conjecture

Conjecture (Hamaker-P-Weigandt 2020)

If in≺d(Xw ) is reduced then

in≺d(Xw ) =

983134

PisinBPD(w)

C(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

True for vexillary permutations

A permutation is vexillary if it avoids the pattern 2143

Theorem (Knutson-Miller-Yong 2009)

With respect to a diagonal term order the lsquoobviousrsquo definingequations for I (Xw ) are a Grobner basis hArr w is vexillary

Theorem (Knutson-Miller-Yong 2009 Weigandt 2020)

The conjecture holds for w vexillary

2 2

3

1 2

3

1 2

2

1 1

3

1 1

2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Different generators

Take the lsquoobviousrsquo defining equations for I (Xw ) Some ofthem may be single variables zij Throw away all other termsthat contain them These are the CDG generators(Conca-De Negri-Gorla 2015)

A permutation is predominant if its Lehmer code is of theform λ0mℓ for some partition λ and m ℓ isin N

Theorem (Hamaker-P-Weigandt 2020)

If w is predominant then in≺d(Xw ) is reduced and CDG and the

main conjecture holds for w

w = 42153

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

CDG permutations

Theorem (Conj Hamaker-P-Weigandt 2020 Proved Klein 2020)

With respect to any diagonal term order the CDG generators forI (Xw ) are Grobner hArr w avoids the eight patterns 13254 21543214635 215364 241635 315264 215634 4261735 in S7

Corollary (Hamaker-P-Weigandt 2020 Klein 2020)

If Sw is a multiplicity-free sum of monomials then the CDGgenerators for I (Xw ) are diagonal Grobner

Proof

By comparing with the pattern conditions for multiplicity-freenessof Fink-Meszaros-St Dizier (2020)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Non-reduced degenerations

Given a scheme X and a reduced irreducible variety Y writemultY (X ) for the multiplicity of X along Y

Equivariant cohomology satisfies

HDtimesD(X ) =983131

j

multXj(X )HDtimesD(Xj)

where the sum is over the top-dimensional components of X

Example X = Spec(C[x y ]〈x2y〉) Then multx-axis(X ) = 1 andmulty-axis(X ) = 2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 4: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

Schubert polynomials are nice

No cleanup Su middotSv =983123

w cwuvSw hArr [Xu] middot [Xv ] =983123

w cwuv [Xw ]

Stability For w isin Sn Sw = Sι(w) where ι Sn rarr Sn+1 is thenatural inclusion

Monomial positivityS14523 = x21x

22 + x21x2x3 + x21x

23 + x1x

22x3 + x1x2x

23 + x22x

23

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The definition of Sw(x)

Start with the longest permutation in Sn

w0 = n n minus 1 1 Sw0(x) = xnminus11 xnminus2

2 xnminus1

The rest are defined recursively by divided differenceoperators

parti f =f minus si middot fxi minus xi+1

and Swsi (x) = partiSw (x) if w(i) gt w(i+1)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Double Schubert polynomials

The diagonal matrices D GLn(C)U preserving the Schubertvarieties

D-equivariant Schubert classes [Xw ]D isin H983183D(Fℓ(Cn))

There are also double Schubert polynomials which are definedby the same operators with the initial condition

Sw0(x y) =983132

i+jlen

(xi minus yj)

Sw (x y) represents [Xw ]D

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Pipe dreams

A pipe dream is a tiling of the n times n grid with the four tiles sothat there are n pipes which

start at the left edge of the grid

end at the top edge

pairwise cross at most once

We also require that only appear on the main anti-diagonal

and only appear below

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The permutation of a pipe dream

Write PD(w) for the set of pipe dreams which trace out thepermutation w

1

2

3

4

If a ⊞ tile sits in row i and column j assign it the weight (xi minus yj)The weight of a pipe dream is the product of the weights of itscrossing tiles

wt(P) =

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Pipe dreams for double Schuberts

Theorem (Fomin-Kirillov 1996 Knutson-Miller 2005)

The double Schubert polynomial Sw (x y) is the weighted sum

Sw (x y) =983131

PisinPD(w)

wt(P)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Equivariant cohomology

The group D times D acts on Mat(n) =

983099983105983105983105983103

983105983105983105983101

983093

983097983097983097983095

z11 z12 middot middot middot z1nz21 z22 middot middot middot z2n

zn1 zn2 middot middot middot znn

983094

983098983098983098983096

983100983105983105983105983104

983105983105983105983102by

(d δ) middotM = dMδminus1

Since Mat(n) is contractible

HDtimesD(Mat(n)) = HDtimesD(pt) = O(dtimesd) = Z[x1 xn y1 yn]

Whenever X isin Mat(n) is stable under the action of D times D it hasa class [X ]DtimesD isin HDtimesD(Mat(n)) = Z[x y]

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Matrix Schubert varieties

The matrix Schubert variety (Fulton 1992) Xw = LwU sube Mat(n)is defined by rank conditions on maximal northwest submatrices

Theorem (Knutson-Miller 2005)

The D times D-equivariant cohomology class of a matrix Schubertvariety is the corresponding double Schubert polynomial

[Xw ]DtimesD = Sw (x y)

Another goal of Knutson-Miller was to exhibit a geometricallynatural explanation for the pipe dream formula for Schubertpolynomials

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Computing equivariant classes

Axioms for equivariant cohomologyFor B sub ntimesn let CB be the coordinate subspace 〈zij (i j) isin B〉

HDtimesD(CB) =983124

(i j)isinB(xi minus yj)

if X =983126m

i=1 Xi is a reduced scheme then

HDtimesD(X ) =983131

j

HDtimesD(Xj)

where the sum is over Xj with dimXj = dimX

If in≺X is a Grobner degeneration of X thenHDtimesD(X ) = HDtimesD(in≺X )

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Grobner degeneration

Choose a term order ≺ so that we have a initial term in≺f forevery f isin C[z]

Write in≺S = 〈in≺f f isin S〉

We write in≺X for the vanishing locus of in≺I (X ) where I (X ) isthe ideal of all polynomials vanishing on X in≺X is a Grobnerdegeneration of X

Since in≺I (X ) is generated by monomials in≺X is a union ofcoordinate subspaces But which ones

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Grobner bases

If I = 〈S〉 thenin≺I supe in≺S

Definition (Buchberger 1965)

S is a Grobner basis for the ideal I if I = 〈S〉 and in≺I = in≺S

A (anti)diagonal term order on C[z] is one where the initial termof any minor is the product of its main (anti)diagonal

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to an antidiagonal term order Itturns out these two polynomials are a Grobner basis so

in≺a I (X2143) = 〈z11 z13z22z31〉= 〈z11 z31〉 cap 〈z11 z22〉 cap 〈z11 z13〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to an antidiagonal term order Itturns out these two polynomials are a Grobner basis so

in≺a I (X2143) = 〈z11 z13z22z31〉= 〈z11 z31〉 cap 〈z11 z22〉 cap 〈z11 z13〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Pipe dreams are natural

Theorem (Knutson-Miller 2005)

With respect to an antidiagonal term order the lsquoobviousrsquogenerators for I (Xw ) are a Grobner basis

Theorem (Knutson-Miller 2005)

The initial scheme of Xw with respect to an antidiagonal termorder is a union of coordinate subspaces indexed by PD(w)

in≺a(Xw ) =983134

PisinPD(w)

C⊞(P)

Hence

Sw (x y) =983131

PisinPD(w)

HDtimesD(C⊞(P)) =983131

PisinPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Why ice

Do not consume

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

What is Lascouxrsquos formula

Letrsquos use different notation

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

From ice to bumpless pipe dreams

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Bumpless pipe dreams

A bumpless pipe dream (Lam-Lee-Shimozono 2018) is a tiling ofthe n times n grid with the six tiles pictured above so that there are npipes which

1 start at the right edge of the grid

2 end at the bottom edge and

3 pairwise cross at most one time

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The permutation of a bumpless pipe dream

1 2 3 4 5

Write BPD(w) for the set of bumpless pipe dreams of thepermutation w

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The weight of a bumpless pipe dream

If a tile sits in row i and column j assign it the weight (xi minus yj)The weight of a bumpless pipe dream is the product of the weightsof its tiles

y1 y2 y3 y4 y5

x1

x2

x3

x4

x5

wt(P) =

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Another Schubert formula

Theorem (Lam-Lee-Shimozono 2018 Lascoux 2002 Weigandt2020)

The double Schubert polynomial Sw (x y) is the partition function

Sw (x y) =983131

PisinBPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

First conjecture

Conjecture (Hamaker-P-Weigandt 2020)

If in≺d(Xw ) is reduced then

in≺d(Xw ) =

983134

PisinBPD(w)

C(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

True for vexillary permutations

A permutation is vexillary if it avoids the pattern 2143

Theorem (Knutson-Miller-Yong 2009)

With respect to a diagonal term order the lsquoobviousrsquo definingequations for I (Xw ) are a Grobner basis hArr w is vexillary

Theorem (Knutson-Miller-Yong 2009 Weigandt 2020)

The conjecture holds for w vexillary

2 2

3

1 2

3

1 2

2

1 1

3

1 1

2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Different generators

Take the lsquoobviousrsquo defining equations for I (Xw ) Some ofthem may be single variables zij Throw away all other termsthat contain them These are the CDG generators(Conca-De Negri-Gorla 2015)

A permutation is predominant if its Lehmer code is of theform λ0mℓ for some partition λ and m ℓ isin N

Theorem (Hamaker-P-Weigandt 2020)

If w is predominant then in≺d(Xw ) is reduced and CDG and the

main conjecture holds for w

w = 42153

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

CDG permutations

Theorem (Conj Hamaker-P-Weigandt 2020 Proved Klein 2020)

With respect to any diagonal term order the CDG generators forI (Xw ) are Grobner hArr w avoids the eight patterns 13254 21543214635 215364 241635 315264 215634 4261735 in S7

Corollary (Hamaker-P-Weigandt 2020 Klein 2020)

If Sw is a multiplicity-free sum of monomials then the CDGgenerators for I (Xw ) are diagonal Grobner

Proof

By comparing with the pattern conditions for multiplicity-freenessof Fink-Meszaros-St Dizier (2020)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Non-reduced degenerations

Given a scheme X and a reduced irreducible variety Y writemultY (X ) for the multiplicity of X along Y

Equivariant cohomology satisfies

HDtimesD(X ) =983131

j

multXj(X )HDtimesD(Xj)

where the sum is over the top-dimensional components of X

Example X = Spec(C[x y ]〈x2y〉) Then multx-axis(X ) = 1 andmulty-axis(X ) = 2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 5: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

The definition of Sw(x)

Start with the longest permutation in Sn

w0 = n n minus 1 1 Sw0(x) = xnminus11 xnminus2

2 xnminus1

The rest are defined recursively by divided differenceoperators

parti f =f minus si middot fxi minus xi+1

and Swsi (x) = partiSw (x) if w(i) gt w(i+1)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Double Schubert polynomials

The diagonal matrices D GLn(C)U preserving the Schubertvarieties

D-equivariant Schubert classes [Xw ]D isin H983183D(Fℓ(Cn))

There are also double Schubert polynomials which are definedby the same operators with the initial condition

Sw0(x y) =983132

i+jlen

(xi minus yj)

Sw (x y) represents [Xw ]D

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Pipe dreams

A pipe dream is a tiling of the n times n grid with the four tiles sothat there are n pipes which

start at the left edge of the grid

end at the top edge

pairwise cross at most once

We also require that only appear on the main anti-diagonal

and only appear below

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The permutation of a pipe dream

Write PD(w) for the set of pipe dreams which trace out thepermutation w

1

2

3

4

If a ⊞ tile sits in row i and column j assign it the weight (xi minus yj)The weight of a pipe dream is the product of the weights of itscrossing tiles

wt(P) =

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Pipe dreams for double Schuberts

Theorem (Fomin-Kirillov 1996 Knutson-Miller 2005)

The double Schubert polynomial Sw (x y) is the weighted sum

Sw (x y) =983131

PisinPD(w)

wt(P)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Equivariant cohomology

The group D times D acts on Mat(n) =

983099983105983105983105983103

983105983105983105983101

983093

983097983097983097983095

z11 z12 middot middot middot z1nz21 z22 middot middot middot z2n

zn1 zn2 middot middot middot znn

983094

983098983098983098983096

983100983105983105983105983104

983105983105983105983102by

(d δ) middotM = dMδminus1

Since Mat(n) is contractible

HDtimesD(Mat(n)) = HDtimesD(pt) = O(dtimesd) = Z[x1 xn y1 yn]

Whenever X isin Mat(n) is stable under the action of D times D it hasa class [X ]DtimesD isin HDtimesD(Mat(n)) = Z[x y]

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Matrix Schubert varieties

The matrix Schubert variety (Fulton 1992) Xw = LwU sube Mat(n)is defined by rank conditions on maximal northwest submatrices

Theorem (Knutson-Miller 2005)

The D times D-equivariant cohomology class of a matrix Schubertvariety is the corresponding double Schubert polynomial

[Xw ]DtimesD = Sw (x y)

Another goal of Knutson-Miller was to exhibit a geometricallynatural explanation for the pipe dream formula for Schubertpolynomials

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Computing equivariant classes

Axioms for equivariant cohomologyFor B sub ntimesn let CB be the coordinate subspace 〈zij (i j) isin B〉

HDtimesD(CB) =983124

(i j)isinB(xi minus yj)

if X =983126m

i=1 Xi is a reduced scheme then

HDtimesD(X ) =983131

j

HDtimesD(Xj)

where the sum is over Xj with dimXj = dimX

If in≺X is a Grobner degeneration of X thenHDtimesD(X ) = HDtimesD(in≺X )

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Grobner degeneration

Choose a term order ≺ so that we have a initial term in≺f forevery f isin C[z]

Write in≺S = 〈in≺f f isin S〉

We write in≺X for the vanishing locus of in≺I (X ) where I (X ) isthe ideal of all polynomials vanishing on X in≺X is a Grobnerdegeneration of X

Since in≺I (X ) is generated by monomials in≺X is a union ofcoordinate subspaces But which ones

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Grobner bases

If I = 〈S〉 thenin≺I supe in≺S

Definition (Buchberger 1965)

S is a Grobner basis for the ideal I if I = 〈S〉 and in≺I = in≺S

A (anti)diagonal term order on C[z] is one where the initial termof any minor is the product of its main (anti)diagonal

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to an antidiagonal term order Itturns out these two polynomials are a Grobner basis so

in≺a I (X2143) = 〈z11 z13z22z31〉= 〈z11 z31〉 cap 〈z11 z22〉 cap 〈z11 z13〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to an antidiagonal term order Itturns out these two polynomials are a Grobner basis so

in≺a I (X2143) = 〈z11 z13z22z31〉= 〈z11 z31〉 cap 〈z11 z22〉 cap 〈z11 z13〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Pipe dreams are natural

Theorem (Knutson-Miller 2005)

With respect to an antidiagonal term order the lsquoobviousrsquogenerators for I (Xw ) are a Grobner basis

Theorem (Knutson-Miller 2005)

The initial scheme of Xw with respect to an antidiagonal termorder is a union of coordinate subspaces indexed by PD(w)

in≺a(Xw ) =983134

PisinPD(w)

C⊞(P)

Hence

Sw (x y) =983131

PisinPD(w)

HDtimesD(C⊞(P)) =983131

PisinPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Why ice

Do not consume

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

What is Lascouxrsquos formula

Letrsquos use different notation

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

From ice to bumpless pipe dreams

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Bumpless pipe dreams

A bumpless pipe dream (Lam-Lee-Shimozono 2018) is a tiling ofthe n times n grid with the six tiles pictured above so that there are npipes which

1 start at the right edge of the grid

2 end at the bottom edge and

3 pairwise cross at most one time

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The permutation of a bumpless pipe dream

1 2 3 4 5

Write BPD(w) for the set of bumpless pipe dreams of thepermutation w

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The weight of a bumpless pipe dream

If a tile sits in row i and column j assign it the weight (xi minus yj)The weight of a bumpless pipe dream is the product of the weightsof its tiles

y1 y2 y3 y4 y5

x1

x2

x3

x4

x5

wt(P) =

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Another Schubert formula

Theorem (Lam-Lee-Shimozono 2018 Lascoux 2002 Weigandt2020)

The double Schubert polynomial Sw (x y) is the partition function

Sw (x y) =983131

PisinBPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

First conjecture

Conjecture (Hamaker-P-Weigandt 2020)

If in≺d(Xw ) is reduced then

in≺d(Xw ) =

983134

PisinBPD(w)

C(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

True for vexillary permutations

A permutation is vexillary if it avoids the pattern 2143

Theorem (Knutson-Miller-Yong 2009)

With respect to a diagonal term order the lsquoobviousrsquo definingequations for I (Xw ) are a Grobner basis hArr w is vexillary

Theorem (Knutson-Miller-Yong 2009 Weigandt 2020)

The conjecture holds for w vexillary

2 2

3

1 2

3

1 2

2

1 1

3

1 1

2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Different generators

Take the lsquoobviousrsquo defining equations for I (Xw ) Some ofthem may be single variables zij Throw away all other termsthat contain them These are the CDG generators(Conca-De Negri-Gorla 2015)

A permutation is predominant if its Lehmer code is of theform λ0mℓ for some partition λ and m ℓ isin N

Theorem (Hamaker-P-Weigandt 2020)

If w is predominant then in≺d(Xw ) is reduced and CDG and the

main conjecture holds for w

w = 42153

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

CDG permutations

Theorem (Conj Hamaker-P-Weigandt 2020 Proved Klein 2020)

With respect to any diagonal term order the CDG generators forI (Xw ) are Grobner hArr w avoids the eight patterns 13254 21543214635 215364 241635 315264 215634 4261735 in S7

Corollary (Hamaker-P-Weigandt 2020 Klein 2020)

If Sw is a multiplicity-free sum of monomials then the CDGgenerators for I (Xw ) are diagonal Grobner

Proof

By comparing with the pattern conditions for multiplicity-freenessof Fink-Meszaros-St Dizier (2020)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Non-reduced degenerations

Given a scheme X and a reduced irreducible variety Y writemultY (X ) for the multiplicity of X along Y

Equivariant cohomology satisfies

HDtimesD(X ) =983131

j

multXj(X )HDtimesD(Xj)

where the sum is over the top-dimensional components of X

Example X = Spec(C[x y ]〈x2y〉) Then multx-axis(X ) = 1 andmulty-axis(X ) = 2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 6: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

Double Schubert polynomials

The diagonal matrices D GLn(C)U preserving the Schubertvarieties

D-equivariant Schubert classes [Xw ]D isin H983183D(Fℓ(Cn))

There are also double Schubert polynomials which are definedby the same operators with the initial condition

Sw0(x y) =983132

i+jlen

(xi minus yj)

Sw (x y) represents [Xw ]D

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Pipe dreams

A pipe dream is a tiling of the n times n grid with the four tiles sothat there are n pipes which

start at the left edge of the grid

end at the top edge

pairwise cross at most once

We also require that only appear on the main anti-diagonal

and only appear below

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The permutation of a pipe dream

Write PD(w) for the set of pipe dreams which trace out thepermutation w

1

2

3

4

If a ⊞ tile sits in row i and column j assign it the weight (xi minus yj)The weight of a pipe dream is the product of the weights of itscrossing tiles

wt(P) =

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Pipe dreams for double Schuberts

Theorem (Fomin-Kirillov 1996 Knutson-Miller 2005)

The double Schubert polynomial Sw (x y) is the weighted sum

Sw (x y) =983131

PisinPD(w)

wt(P)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Equivariant cohomology

The group D times D acts on Mat(n) =

983099983105983105983105983103

983105983105983105983101

983093

983097983097983097983095

z11 z12 middot middot middot z1nz21 z22 middot middot middot z2n

zn1 zn2 middot middot middot znn

983094

983098983098983098983096

983100983105983105983105983104

983105983105983105983102by

(d δ) middotM = dMδminus1

Since Mat(n) is contractible

HDtimesD(Mat(n)) = HDtimesD(pt) = O(dtimesd) = Z[x1 xn y1 yn]

Whenever X isin Mat(n) is stable under the action of D times D it hasa class [X ]DtimesD isin HDtimesD(Mat(n)) = Z[x y]

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Matrix Schubert varieties

The matrix Schubert variety (Fulton 1992) Xw = LwU sube Mat(n)is defined by rank conditions on maximal northwest submatrices

Theorem (Knutson-Miller 2005)

The D times D-equivariant cohomology class of a matrix Schubertvariety is the corresponding double Schubert polynomial

[Xw ]DtimesD = Sw (x y)

Another goal of Knutson-Miller was to exhibit a geometricallynatural explanation for the pipe dream formula for Schubertpolynomials

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Computing equivariant classes

Axioms for equivariant cohomologyFor B sub ntimesn let CB be the coordinate subspace 〈zij (i j) isin B〉

HDtimesD(CB) =983124

(i j)isinB(xi minus yj)

if X =983126m

i=1 Xi is a reduced scheme then

HDtimesD(X ) =983131

j

HDtimesD(Xj)

where the sum is over Xj with dimXj = dimX

If in≺X is a Grobner degeneration of X thenHDtimesD(X ) = HDtimesD(in≺X )

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Grobner degeneration

Choose a term order ≺ so that we have a initial term in≺f forevery f isin C[z]

Write in≺S = 〈in≺f f isin S〉

We write in≺X for the vanishing locus of in≺I (X ) where I (X ) isthe ideal of all polynomials vanishing on X in≺X is a Grobnerdegeneration of X

Since in≺I (X ) is generated by monomials in≺X is a union ofcoordinate subspaces But which ones

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Grobner bases

If I = 〈S〉 thenin≺I supe in≺S

Definition (Buchberger 1965)

S is a Grobner basis for the ideal I if I = 〈S〉 and in≺I = in≺S

A (anti)diagonal term order on C[z] is one where the initial termof any minor is the product of its main (anti)diagonal

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to an antidiagonal term order Itturns out these two polynomials are a Grobner basis so

in≺a I (X2143) = 〈z11 z13z22z31〉= 〈z11 z31〉 cap 〈z11 z22〉 cap 〈z11 z13〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to an antidiagonal term order Itturns out these two polynomials are a Grobner basis so

in≺a I (X2143) = 〈z11 z13z22z31〉= 〈z11 z31〉 cap 〈z11 z22〉 cap 〈z11 z13〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Pipe dreams are natural

Theorem (Knutson-Miller 2005)

With respect to an antidiagonal term order the lsquoobviousrsquogenerators for I (Xw ) are a Grobner basis

Theorem (Knutson-Miller 2005)

The initial scheme of Xw with respect to an antidiagonal termorder is a union of coordinate subspaces indexed by PD(w)

in≺a(Xw ) =983134

PisinPD(w)

C⊞(P)

Hence

Sw (x y) =983131

PisinPD(w)

HDtimesD(C⊞(P)) =983131

PisinPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Why ice

Do not consume

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

What is Lascouxrsquos formula

Letrsquos use different notation

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

From ice to bumpless pipe dreams

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Bumpless pipe dreams

A bumpless pipe dream (Lam-Lee-Shimozono 2018) is a tiling ofthe n times n grid with the six tiles pictured above so that there are npipes which

1 start at the right edge of the grid

2 end at the bottom edge and

3 pairwise cross at most one time

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The permutation of a bumpless pipe dream

1 2 3 4 5

Write BPD(w) for the set of bumpless pipe dreams of thepermutation w

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The weight of a bumpless pipe dream

If a tile sits in row i and column j assign it the weight (xi minus yj)The weight of a bumpless pipe dream is the product of the weightsof its tiles

y1 y2 y3 y4 y5

x1

x2

x3

x4

x5

wt(P) =

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Another Schubert formula

Theorem (Lam-Lee-Shimozono 2018 Lascoux 2002 Weigandt2020)

The double Schubert polynomial Sw (x y) is the partition function

Sw (x y) =983131

PisinBPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

First conjecture

Conjecture (Hamaker-P-Weigandt 2020)

If in≺d(Xw ) is reduced then

in≺d(Xw ) =

983134

PisinBPD(w)

C(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

True for vexillary permutations

A permutation is vexillary if it avoids the pattern 2143

Theorem (Knutson-Miller-Yong 2009)

With respect to a diagonal term order the lsquoobviousrsquo definingequations for I (Xw ) are a Grobner basis hArr w is vexillary

Theorem (Knutson-Miller-Yong 2009 Weigandt 2020)

The conjecture holds for w vexillary

2 2

3

1 2

3

1 2

2

1 1

3

1 1

2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Different generators

Take the lsquoobviousrsquo defining equations for I (Xw ) Some ofthem may be single variables zij Throw away all other termsthat contain them These are the CDG generators(Conca-De Negri-Gorla 2015)

A permutation is predominant if its Lehmer code is of theform λ0mℓ for some partition λ and m ℓ isin N

Theorem (Hamaker-P-Weigandt 2020)

If w is predominant then in≺d(Xw ) is reduced and CDG and the

main conjecture holds for w

w = 42153

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

CDG permutations

Theorem (Conj Hamaker-P-Weigandt 2020 Proved Klein 2020)

With respect to any diagonal term order the CDG generators forI (Xw ) are Grobner hArr w avoids the eight patterns 13254 21543214635 215364 241635 315264 215634 4261735 in S7

Corollary (Hamaker-P-Weigandt 2020 Klein 2020)

If Sw is a multiplicity-free sum of monomials then the CDGgenerators for I (Xw ) are diagonal Grobner

Proof

By comparing with the pattern conditions for multiplicity-freenessof Fink-Meszaros-St Dizier (2020)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Non-reduced degenerations

Given a scheme X and a reduced irreducible variety Y writemultY (X ) for the multiplicity of X along Y

Equivariant cohomology satisfies

HDtimesD(X ) =983131

j

multXj(X )HDtimesD(Xj)

where the sum is over the top-dimensional components of X

Example X = Spec(C[x y ]〈x2y〉) Then multx-axis(X ) = 1 andmulty-axis(X ) = 2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 7: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

Pipe dreams

A pipe dream is a tiling of the n times n grid with the four tiles sothat there are n pipes which

start at the left edge of the grid

end at the top edge

pairwise cross at most once

We also require that only appear on the main anti-diagonal

and only appear below

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The permutation of a pipe dream

Write PD(w) for the set of pipe dreams which trace out thepermutation w

1

2

3

4

If a ⊞ tile sits in row i and column j assign it the weight (xi minus yj)The weight of a pipe dream is the product of the weights of itscrossing tiles

wt(P) =

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Pipe dreams for double Schuberts

Theorem (Fomin-Kirillov 1996 Knutson-Miller 2005)

The double Schubert polynomial Sw (x y) is the weighted sum

Sw (x y) =983131

PisinPD(w)

wt(P)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Equivariant cohomology

The group D times D acts on Mat(n) =

983099983105983105983105983103

983105983105983105983101

983093

983097983097983097983095

z11 z12 middot middot middot z1nz21 z22 middot middot middot z2n

zn1 zn2 middot middot middot znn

983094

983098983098983098983096

983100983105983105983105983104

983105983105983105983102by

(d δ) middotM = dMδminus1

Since Mat(n) is contractible

HDtimesD(Mat(n)) = HDtimesD(pt) = O(dtimesd) = Z[x1 xn y1 yn]

Whenever X isin Mat(n) is stable under the action of D times D it hasa class [X ]DtimesD isin HDtimesD(Mat(n)) = Z[x y]

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Matrix Schubert varieties

The matrix Schubert variety (Fulton 1992) Xw = LwU sube Mat(n)is defined by rank conditions on maximal northwest submatrices

Theorem (Knutson-Miller 2005)

The D times D-equivariant cohomology class of a matrix Schubertvariety is the corresponding double Schubert polynomial

[Xw ]DtimesD = Sw (x y)

Another goal of Knutson-Miller was to exhibit a geometricallynatural explanation for the pipe dream formula for Schubertpolynomials

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Computing equivariant classes

Axioms for equivariant cohomologyFor B sub ntimesn let CB be the coordinate subspace 〈zij (i j) isin B〉

HDtimesD(CB) =983124

(i j)isinB(xi minus yj)

if X =983126m

i=1 Xi is a reduced scheme then

HDtimesD(X ) =983131

j

HDtimesD(Xj)

where the sum is over Xj with dimXj = dimX

If in≺X is a Grobner degeneration of X thenHDtimesD(X ) = HDtimesD(in≺X )

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Grobner degeneration

Choose a term order ≺ so that we have a initial term in≺f forevery f isin C[z]

Write in≺S = 〈in≺f f isin S〉

We write in≺X for the vanishing locus of in≺I (X ) where I (X ) isthe ideal of all polynomials vanishing on X in≺X is a Grobnerdegeneration of X

Since in≺I (X ) is generated by monomials in≺X is a union ofcoordinate subspaces But which ones

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Grobner bases

If I = 〈S〉 thenin≺I supe in≺S

Definition (Buchberger 1965)

S is a Grobner basis for the ideal I if I = 〈S〉 and in≺I = in≺S

A (anti)diagonal term order on C[z] is one where the initial termof any minor is the product of its main (anti)diagonal

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to an antidiagonal term order Itturns out these two polynomials are a Grobner basis so

in≺a I (X2143) = 〈z11 z13z22z31〉= 〈z11 z31〉 cap 〈z11 z22〉 cap 〈z11 z13〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to an antidiagonal term order Itturns out these two polynomials are a Grobner basis so

in≺a I (X2143) = 〈z11 z13z22z31〉= 〈z11 z31〉 cap 〈z11 z22〉 cap 〈z11 z13〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Pipe dreams are natural

Theorem (Knutson-Miller 2005)

With respect to an antidiagonal term order the lsquoobviousrsquogenerators for I (Xw ) are a Grobner basis

Theorem (Knutson-Miller 2005)

The initial scheme of Xw with respect to an antidiagonal termorder is a union of coordinate subspaces indexed by PD(w)

in≺a(Xw ) =983134

PisinPD(w)

C⊞(P)

Hence

Sw (x y) =983131

PisinPD(w)

HDtimesD(C⊞(P)) =983131

PisinPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Why ice

Do not consume

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

What is Lascouxrsquos formula

Letrsquos use different notation

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

From ice to bumpless pipe dreams

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Bumpless pipe dreams

A bumpless pipe dream (Lam-Lee-Shimozono 2018) is a tiling ofthe n times n grid with the six tiles pictured above so that there are npipes which

1 start at the right edge of the grid

2 end at the bottom edge and

3 pairwise cross at most one time

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The permutation of a bumpless pipe dream

1 2 3 4 5

Write BPD(w) for the set of bumpless pipe dreams of thepermutation w

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The weight of a bumpless pipe dream

If a tile sits in row i and column j assign it the weight (xi minus yj)The weight of a bumpless pipe dream is the product of the weightsof its tiles

y1 y2 y3 y4 y5

x1

x2

x3

x4

x5

wt(P) =

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Another Schubert formula

Theorem (Lam-Lee-Shimozono 2018 Lascoux 2002 Weigandt2020)

The double Schubert polynomial Sw (x y) is the partition function

Sw (x y) =983131

PisinBPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

First conjecture

Conjecture (Hamaker-P-Weigandt 2020)

If in≺d(Xw ) is reduced then

in≺d(Xw ) =

983134

PisinBPD(w)

C(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

True for vexillary permutations

A permutation is vexillary if it avoids the pattern 2143

Theorem (Knutson-Miller-Yong 2009)

With respect to a diagonal term order the lsquoobviousrsquo definingequations for I (Xw ) are a Grobner basis hArr w is vexillary

Theorem (Knutson-Miller-Yong 2009 Weigandt 2020)

The conjecture holds for w vexillary

2 2

3

1 2

3

1 2

2

1 1

3

1 1

2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Different generators

Take the lsquoobviousrsquo defining equations for I (Xw ) Some ofthem may be single variables zij Throw away all other termsthat contain them These are the CDG generators(Conca-De Negri-Gorla 2015)

A permutation is predominant if its Lehmer code is of theform λ0mℓ for some partition λ and m ℓ isin N

Theorem (Hamaker-P-Weigandt 2020)

If w is predominant then in≺d(Xw ) is reduced and CDG and the

main conjecture holds for w

w = 42153

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

CDG permutations

Theorem (Conj Hamaker-P-Weigandt 2020 Proved Klein 2020)

With respect to any diagonal term order the CDG generators forI (Xw ) are Grobner hArr w avoids the eight patterns 13254 21543214635 215364 241635 315264 215634 4261735 in S7

Corollary (Hamaker-P-Weigandt 2020 Klein 2020)

If Sw is a multiplicity-free sum of monomials then the CDGgenerators for I (Xw ) are diagonal Grobner

Proof

By comparing with the pattern conditions for multiplicity-freenessof Fink-Meszaros-St Dizier (2020)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Non-reduced degenerations

Given a scheme X and a reduced irreducible variety Y writemultY (X ) for the multiplicity of X along Y

Equivariant cohomology satisfies

HDtimesD(X ) =983131

j

multXj(X )HDtimesD(Xj)

where the sum is over the top-dimensional components of X

Example X = Spec(C[x y ]〈x2y〉) Then multx-axis(X ) = 1 andmulty-axis(X ) = 2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 8: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

The permutation of a pipe dream

Write PD(w) for the set of pipe dreams which trace out thepermutation w

1

2

3

4

If a ⊞ tile sits in row i and column j assign it the weight (xi minus yj)The weight of a pipe dream is the product of the weights of itscrossing tiles

wt(P) =

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Pipe dreams for double Schuberts

Theorem (Fomin-Kirillov 1996 Knutson-Miller 2005)

The double Schubert polynomial Sw (x y) is the weighted sum

Sw (x y) =983131

PisinPD(w)

wt(P)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Equivariant cohomology

The group D times D acts on Mat(n) =

983099983105983105983105983103

983105983105983105983101

983093

983097983097983097983095

z11 z12 middot middot middot z1nz21 z22 middot middot middot z2n

zn1 zn2 middot middot middot znn

983094

983098983098983098983096

983100983105983105983105983104

983105983105983105983102by

(d δ) middotM = dMδminus1

Since Mat(n) is contractible

HDtimesD(Mat(n)) = HDtimesD(pt) = O(dtimesd) = Z[x1 xn y1 yn]

Whenever X isin Mat(n) is stable under the action of D times D it hasa class [X ]DtimesD isin HDtimesD(Mat(n)) = Z[x y]

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Matrix Schubert varieties

The matrix Schubert variety (Fulton 1992) Xw = LwU sube Mat(n)is defined by rank conditions on maximal northwest submatrices

Theorem (Knutson-Miller 2005)

The D times D-equivariant cohomology class of a matrix Schubertvariety is the corresponding double Schubert polynomial

[Xw ]DtimesD = Sw (x y)

Another goal of Knutson-Miller was to exhibit a geometricallynatural explanation for the pipe dream formula for Schubertpolynomials

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Computing equivariant classes

Axioms for equivariant cohomologyFor B sub ntimesn let CB be the coordinate subspace 〈zij (i j) isin B〉

HDtimesD(CB) =983124

(i j)isinB(xi minus yj)

if X =983126m

i=1 Xi is a reduced scheme then

HDtimesD(X ) =983131

j

HDtimesD(Xj)

where the sum is over Xj with dimXj = dimX

If in≺X is a Grobner degeneration of X thenHDtimesD(X ) = HDtimesD(in≺X )

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Grobner degeneration

Choose a term order ≺ so that we have a initial term in≺f forevery f isin C[z]

Write in≺S = 〈in≺f f isin S〉

We write in≺X for the vanishing locus of in≺I (X ) where I (X ) isthe ideal of all polynomials vanishing on X in≺X is a Grobnerdegeneration of X

Since in≺I (X ) is generated by monomials in≺X is a union ofcoordinate subspaces But which ones

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Grobner bases

If I = 〈S〉 thenin≺I supe in≺S

Definition (Buchberger 1965)

S is a Grobner basis for the ideal I if I = 〈S〉 and in≺I = in≺S

A (anti)diagonal term order on C[z] is one where the initial termof any minor is the product of its main (anti)diagonal

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to an antidiagonal term order Itturns out these two polynomials are a Grobner basis so

in≺a I (X2143) = 〈z11 z13z22z31〉= 〈z11 z31〉 cap 〈z11 z22〉 cap 〈z11 z13〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to an antidiagonal term order Itturns out these two polynomials are a Grobner basis so

in≺a I (X2143) = 〈z11 z13z22z31〉= 〈z11 z31〉 cap 〈z11 z22〉 cap 〈z11 z13〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Pipe dreams are natural

Theorem (Knutson-Miller 2005)

With respect to an antidiagonal term order the lsquoobviousrsquogenerators for I (Xw ) are a Grobner basis

Theorem (Knutson-Miller 2005)

The initial scheme of Xw with respect to an antidiagonal termorder is a union of coordinate subspaces indexed by PD(w)

in≺a(Xw ) =983134

PisinPD(w)

C⊞(P)

Hence

Sw (x y) =983131

PisinPD(w)

HDtimesD(C⊞(P)) =983131

PisinPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Why ice

Do not consume

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

What is Lascouxrsquos formula

Letrsquos use different notation

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

From ice to bumpless pipe dreams

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Bumpless pipe dreams

A bumpless pipe dream (Lam-Lee-Shimozono 2018) is a tiling ofthe n times n grid with the six tiles pictured above so that there are npipes which

1 start at the right edge of the grid

2 end at the bottom edge and

3 pairwise cross at most one time

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The permutation of a bumpless pipe dream

1 2 3 4 5

Write BPD(w) for the set of bumpless pipe dreams of thepermutation w

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The weight of a bumpless pipe dream

If a tile sits in row i and column j assign it the weight (xi minus yj)The weight of a bumpless pipe dream is the product of the weightsof its tiles

y1 y2 y3 y4 y5

x1

x2

x3

x4

x5

wt(P) =

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Another Schubert formula

Theorem (Lam-Lee-Shimozono 2018 Lascoux 2002 Weigandt2020)

The double Schubert polynomial Sw (x y) is the partition function

Sw (x y) =983131

PisinBPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

First conjecture

Conjecture (Hamaker-P-Weigandt 2020)

If in≺d(Xw ) is reduced then

in≺d(Xw ) =

983134

PisinBPD(w)

C(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

True for vexillary permutations

A permutation is vexillary if it avoids the pattern 2143

Theorem (Knutson-Miller-Yong 2009)

With respect to a diagonal term order the lsquoobviousrsquo definingequations for I (Xw ) are a Grobner basis hArr w is vexillary

Theorem (Knutson-Miller-Yong 2009 Weigandt 2020)

The conjecture holds for w vexillary

2 2

3

1 2

3

1 2

2

1 1

3

1 1

2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Different generators

Take the lsquoobviousrsquo defining equations for I (Xw ) Some ofthem may be single variables zij Throw away all other termsthat contain them These are the CDG generators(Conca-De Negri-Gorla 2015)

A permutation is predominant if its Lehmer code is of theform λ0mℓ for some partition λ and m ℓ isin N

Theorem (Hamaker-P-Weigandt 2020)

If w is predominant then in≺d(Xw ) is reduced and CDG and the

main conjecture holds for w

w = 42153

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

CDG permutations

Theorem (Conj Hamaker-P-Weigandt 2020 Proved Klein 2020)

With respect to any diagonal term order the CDG generators forI (Xw ) are Grobner hArr w avoids the eight patterns 13254 21543214635 215364 241635 315264 215634 4261735 in S7

Corollary (Hamaker-P-Weigandt 2020 Klein 2020)

If Sw is a multiplicity-free sum of monomials then the CDGgenerators for I (Xw ) are diagonal Grobner

Proof

By comparing with the pattern conditions for multiplicity-freenessof Fink-Meszaros-St Dizier (2020)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Non-reduced degenerations

Given a scheme X and a reduced irreducible variety Y writemultY (X ) for the multiplicity of X along Y

Equivariant cohomology satisfies

HDtimesD(X ) =983131

j

multXj(X )HDtimesD(Xj)

where the sum is over the top-dimensional components of X

Example X = Spec(C[x y ]〈x2y〉) Then multx-axis(X ) = 1 andmulty-axis(X ) = 2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 9: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

Pipe dreams for double Schuberts

Theorem (Fomin-Kirillov 1996 Knutson-Miller 2005)

The double Schubert polynomial Sw (x y) is the weighted sum

Sw (x y) =983131

PisinPD(w)

wt(P)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Equivariant cohomology

The group D times D acts on Mat(n) =

983099983105983105983105983103

983105983105983105983101

983093

983097983097983097983095

z11 z12 middot middot middot z1nz21 z22 middot middot middot z2n

zn1 zn2 middot middot middot znn

983094

983098983098983098983096

983100983105983105983105983104

983105983105983105983102by

(d δ) middotM = dMδminus1

Since Mat(n) is contractible

HDtimesD(Mat(n)) = HDtimesD(pt) = O(dtimesd) = Z[x1 xn y1 yn]

Whenever X isin Mat(n) is stable under the action of D times D it hasa class [X ]DtimesD isin HDtimesD(Mat(n)) = Z[x y]

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Matrix Schubert varieties

The matrix Schubert variety (Fulton 1992) Xw = LwU sube Mat(n)is defined by rank conditions on maximal northwest submatrices

Theorem (Knutson-Miller 2005)

The D times D-equivariant cohomology class of a matrix Schubertvariety is the corresponding double Schubert polynomial

[Xw ]DtimesD = Sw (x y)

Another goal of Knutson-Miller was to exhibit a geometricallynatural explanation for the pipe dream formula for Schubertpolynomials

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Computing equivariant classes

Axioms for equivariant cohomologyFor B sub ntimesn let CB be the coordinate subspace 〈zij (i j) isin B〉

HDtimesD(CB) =983124

(i j)isinB(xi minus yj)

if X =983126m

i=1 Xi is a reduced scheme then

HDtimesD(X ) =983131

j

HDtimesD(Xj)

where the sum is over Xj with dimXj = dimX

If in≺X is a Grobner degeneration of X thenHDtimesD(X ) = HDtimesD(in≺X )

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Grobner degeneration

Choose a term order ≺ so that we have a initial term in≺f forevery f isin C[z]

Write in≺S = 〈in≺f f isin S〉

We write in≺X for the vanishing locus of in≺I (X ) where I (X ) isthe ideal of all polynomials vanishing on X in≺X is a Grobnerdegeneration of X

Since in≺I (X ) is generated by monomials in≺X is a union ofcoordinate subspaces But which ones

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Grobner bases

If I = 〈S〉 thenin≺I supe in≺S

Definition (Buchberger 1965)

S is a Grobner basis for the ideal I if I = 〈S〉 and in≺I = in≺S

A (anti)diagonal term order on C[z] is one where the initial termof any minor is the product of its main (anti)diagonal

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to an antidiagonal term order Itturns out these two polynomials are a Grobner basis so

in≺a I (X2143) = 〈z11 z13z22z31〉= 〈z11 z31〉 cap 〈z11 z22〉 cap 〈z11 z13〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to an antidiagonal term order Itturns out these two polynomials are a Grobner basis so

in≺a I (X2143) = 〈z11 z13z22z31〉= 〈z11 z31〉 cap 〈z11 z22〉 cap 〈z11 z13〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Pipe dreams are natural

Theorem (Knutson-Miller 2005)

With respect to an antidiagonal term order the lsquoobviousrsquogenerators for I (Xw ) are a Grobner basis

Theorem (Knutson-Miller 2005)

The initial scheme of Xw with respect to an antidiagonal termorder is a union of coordinate subspaces indexed by PD(w)

in≺a(Xw ) =983134

PisinPD(w)

C⊞(P)

Hence

Sw (x y) =983131

PisinPD(w)

HDtimesD(C⊞(P)) =983131

PisinPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Why ice

Do not consume

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

What is Lascouxrsquos formula

Letrsquos use different notation

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

From ice to bumpless pipe dreams

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Bumpless pipe dreams

A bumpless pipe dream (Lam-Lee-Shimozono 2018) is a tiling ofthe n times n grid with the six tiles pictured above so that there are npipes which

1 start at the right edge of the grid

2 end at the bottom edge and

3 pairwise cross at most one time

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The permutation of a bumpless pipe dream

1 2 3 4 5

Write BPD(w) for the set of bumpless pipe dreams of thepermutation w

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The weight of a bumpless pipe dream

If a tile sits in row i and column j assign it the weight (xi minus yj)The weight of a bumpless pipe dream is the product of the weightsof its tiles

y1 y2 y3 y4 y5

x1

x2

x3

x4

x5

wt(P) =

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Another Schubert formula

Theorem (Lam-Lee-Shimozono 2018 Lascoux 2002 Weigandt2020)

The double Schubert polynomial Sw (x y) is the partition function

Sw (x y) =983131

PisinBPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

First conjecture

Conjecture (Hamaker-P-Weigandt 2020)

If in≺d(Xw ) is reduced then

in≺d(Xw ) =

983134

PisinBPD(w)

C(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

True for vexillary permutations

A permutation is vexillary if it avoids the pattern 2143

Theorem (Knutson-Miller-Yong 2009)

With respect to a diagonal term order the lsquoobviousrsquo definingequations for I (Xw ) are a Grobner basis hArr w is vexillary

Theorem (Knutson-Miller-Yong 2009 Weigandt 2020)

The conjecture holds for w vexillary

2 2

3

1 2

3

1 2

2

1 1

3

1 1

2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Different generators

Take the lsquoobviousrsquo defining equations for I (Xw ) Some ofthem may be single variables zij Throw away all other termsthat contain them These are the CDG generators(Conca-De Negri-Gorla 2015)

A permutation is predominant if its Lehmer code is of theform λ0mℓ for some partition λ and m ℓ isin N

Theorem (Hamaker-P-Weigandt 2020)

If w is predominant then in≺d(Xw ) is reduced and CDG and the

main conjecture holds for w

w = 42153

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

CDG permutations

Theorem (Conj Hamaker-P-Weigandt 2020 Proved Klein 2020)

With respect to any diagonal term order the CDG generators forI (Xw ) are Grobner hArr w avoids the eight patterns 13254 21543214635 215364 241635 315264 215634 4261735 in S7

Corollary (Hamaker-P-Weigandt 2020 Klein 2020)

If Sw is a multiplicity-free sum of monomials then the CDGgenerators for I (Xw ) are diagonal Grobner

Proof

By comparing with the pattern conditions for multiplicity-freenessof Fink-Meszaros-St Dizier (2020)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Non-reduced degenerations

Given a scheme X and a reduced irreducible variety Y writemultY (X ) for the multiplicity of X along Y

Equivariant cohomology satisfies

HDtimesD(X ) =983131

j

multXj(X )HDtimesD(Xj)

where the sum is over the top-dimensional components of X

Example X = Spec(C[x y ]〈x2y〉) Then multx-axis(X ) = 1 andmulty-axis(X ) = 2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 10: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

Equivariant cohomology

The group D times D acts on Mat(n) =

983099983105983105983105983103

983105983105983105983101

983093

983097983097983097983095

z11 z12 middot middot middot z1nz21 z22 middot middot middot z2n

zn1 zn2 middot middot middot znn

983094

983098983098983098983096

983100983105983105983105983104

983105983105983105983102by

(d δ) middotM = dMδminus1

Since Mat(n) is contractible

HDtimesD(Mat(n)) = HDtimesD(pt) = O(dtimesd) = Z[x1 xn y1 yn]

Whenever X isin Mat(n) is stable under the action of D times D it hasa class [X ]DtimesD isin HDtimesD(Mat(n)) = Z[x y]

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Matrix Schubert varieties

The matrix Schubert variety (Fulton 1992) Xw = LwU sube Mat(n)is defined by rank conditions on maximal northwest submatrices

Theorem (Knutson-Miller 2005)

The D times D-equivariant cohomology class of a matrix Schubertvariety is the corresponding double Schubert polynomial

[Xw ]DtimesD = Sw (x y)

Another goal of Knutson-Miller was to exhibit a geometricallynatural explanation for the pipe dream formula for Schubertpolynomials

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Computing equivariant classes

Axioms for equivariant cohomologyFor B sub ntimesn let CB be the coordinate subspace 〈zij (i j) isin B〉

HDtimesD(CB) =983124

(i j)isinB(xi minus yj)

if X =983126m

i=1 Xi is a reduced scheme then

HDtimesD(X ) =983131

j

HDtimesD(Xj)

where the sum is over Xj with dimXj = dimX

If in≺X is a Grobner degeneration of X thenHDtimesD(X ) = HDtimesD(in≺X )

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Grobner degeneration

Choose a term order ≺ so that we have a initial term in≺f forevery f isin C[z]

Write in≺S = 〈in≺f f isin S〉

We write in≺X for the vanishing locus of in≺I (X ) where I (X ) isthe ideal of all polynomials vanishing on X in≺X is a Grobnerdegeneration of X

Since in≺I (X ) is generated by monomials in≺X is a union ofcoordinate subspaces But which ones

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Grobner bases

If I = 〈S〉 thenin≺I supe in≺S

Definition (Buchberger 1965)

S is a Grobner basis for the ideal I if I = 〈S〉 and in≺I = in≺S

A (anti)diagonal term order on C[z] is one where the initial termof any minor is the product of its main (anti)diagonal

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to an antidiagonal term order Itturns out these two polynomials are a Grobner basis so

in≺a I (X2143) = 〈z11 z13z22z31〉= 〈z11 z31〉 cap 〈z11 z22〉 cap 〈z11 z13〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to an antidiagonal term order Itturns out these two polynomials are a Grobner basis so

in≺a I (X2143) = 〈z11 z13z22z31〉= 〈z11 z31〉 cap 〈z11 z22〉 cap 〈z11 z13〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Pipe dreams are natural

Theorem (Knutson-Miller 2005)

With respect to an antidiagonal term order the lsquoobviousrsquogenerators for I (Xw ) are a Grobner basis

Theorem (Knutson-Miller 2005)

The initial scheme of Xw with respect to an antidiagonal termorder is a union of coordinate subspaces indexed by PD(w)

in≺a(Xw ) =983134

PisinPD(w)

C⊞(P)

Hence

Sw (x y) =983131

PisinPD(w)

HDtimesD(C⊞(P)) =983131

PisinPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Why ice

Do not consume

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

What is Lascouxrsquos formula

Letrsquos use different notation

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

From ice to bumpless pipe dreams

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Bumpless pipe dreams

A bumpless pipe dream (Lam-Lee-Shimozono 2018) is a tiling ofthe n times n grid with the six tiles pictured above so that there are npipes which

1 start at the right edge of the grid

2 end at the bottom edge and

3 pairwise cross at most one time

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The permutation of a bumpless pipe dream

1 2 3 4 5

Write BPD(w) for the set of bumpless pipe dreams of thepermutation w

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The weight of a bumpless pipe dream

If a tile sits in row i and column j assign it the weight (xi minus yj)The weight of a bumpless pipe dream is the product of the weightsof its tiles

y1 y2 y3 y4 y5

x1

x2

x3

x4

x5

wt(P) =

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Another Schubert formula

Theorem (Lam-Lee-Shimozono 2018 Lascoux 2002 Weigandt2020)

The double Schubert polynomial Sw (x y) is the partition function

Sw (x y) =983131

PisinBPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

First conjecture

Conjecture (Hamaker-P-Weigandt 2020)

If in≺d(Xw ) is reduced then

in≺d(Xw ) =

983134

PisinBPD(w)

C(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

True for vexillary permutations

A permutation is vexillary if it avoids the pattern 2143

Theorem (Knutson-Miller-Yong 2009)

With respect to a diagonal term order the lsquoobviousrsquo definingequations for I (Xw ) are a Grobner basis hArr w is vexillary

Theorem (Knutson-Miller-Yong 2009 Weigandt 2020)

The conjecture holds for w vexillary

2 2

3

1 2

3

1 2

2

1 1

3

1 1

2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Different generators

Take the lsquoobviousrsquo defining equations for I (Xw ) Some ofthem may be single variables zij Throw away all other termsthat contain them These are the CDG generators(Conca-De Negri-Gorla 2015)

A permutation is predominant if its Lehmer code is of theform λ0mℓ for some partition λ and m ℓ isin N

Theorem (Hamaker-P-Weigandt 2020)

If w is predominant then in≺d(Xw ) is reduced and CDG and the

main conjecture holds for w

w = 42153

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

CDG permutations

Theorem (Conj Hamaker-P-Weigandt 2020 Proved Klein 2020)

With respect to any diagonal term order the CDG generators forI (Xw ) are Grobner hArr w avoids the eight patterns 13254 21543214635 215364 241635 315264 215634 4261735 in S7

Corollary (Hamaker-P-Weigandt 2020 Klein 2020)

If Sw is a multiplicity-free sum of monomials then the CDGgenerators for I (Xw ) are diagonal Grobner

Proof

By comparing with the pattern conditions for multiplicity-freenessof Fink-Meszaros-St Dizier (2020)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Non-reduced degenerations

Given a scheme X and a reduced irreducible variety Y writemultY (X ) for the multiplicity of X along Y

Equivariant cohomology satisfies

HDtimesD(X ) =983131

j

multXj(X )HDtimesD(Xj)

where the sum is over the top-dimensional components of X

Example X = Spec(C[x y ]〈x2y〉) Then multx-axis(X ) = 1 andmulty-axis(X ) = 2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 11: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

Matrix Schubert varieties

The matrix Schubert variety (Fulton 1992) Xw = LwU sube Mat(n)is defined by rank conditions on maximal northwest submatrices

Theorem (Knutson-Miller 2005)

The D times D-equivariant cohomology class of a matrix Schubertvariety is the corresponding double Schubert polynomial

[Xw ]DtimesD = Sw (x y)

Another goal of Knutson-Miller was to exhibit a geometricallynatural explanation for the pipe dream formula for Schubertpolynomials

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Computing equivariant classes

Axioms for equivariant cohomologyFor B sub ntimesn let CB be the coordinate subspace 〈zij (i j) isin B〉

HDtimesD(CB) =983124

(i j)isinB(xi minus yj)

if X =983126m

i=1 Xi is a reduced scheme then

HDtimesD(X ) =983131

j

HDtimesD(Xj)

where the sum is over Xj with dimXj = dimX

If in≺X is a Grobner degeneration of X thenHDtimesD(X ) = HDtimesD(in≺X )

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Grobner degeneration

Choose a term order ≺ so that we have a initial term in≺f forevery f isin C[z]

Write in≺S = 〈in≺f f isin S〉

We write in≺X for the vanishing locus of in≺I (X ) where I (X ) isthe ideal of all polynomials vanishing on X in≺X is a Grobnerdegeneration of X

Since in≺I (X ) is generated by monomials in≺X is a union ofcoordinate subspaces But which ones

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Grobner bases

If I = 〈S〉 thenin≺I supe in≺S

Definition (Buchberger 1965)

S is a Grobner basis for the ideal I if I = 〈S〉 and in≺I = in≺S

A (anti)diagonal term order on C[z] is one where the initial termof any minor is the product of its main (anti)diagonal

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to an antidiagonal term order Itturns out these two polynomials are a Grobner basis so

in≺a I (X2143) = 〈z11 z13z22z31〉= 〈z11 z31〉 cap 〈z11 z22〉 cap 〈z11 z13〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to an antidiagonal term order Itturns out these two polynomials are a Grobner basis so

in≺a I (X2143) = 〈z11 z13z22z31〉= 〈z11 z31〉 cap 〈z11 z22〉 cap 〈z11 z13〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Pipe dreams are natural

Theorem (Knutson-Miller 2005)

With respect to an antidiagonal term order the lsquoobviousrsquogenerators for I (Xw ) are a Grobner basis

Theorem (Knutson-Miller 2005)

The initial scheme of Xw with respect to an antidiagonal termorder is a union of coordinate subspaces indexed by PD(w)

in≺a(Xw ) =983134

PisinPD(w)

C⊞(P)

Hence

Sw (x y) =983131

PisinPD(w)

HDtimesD(C⊞(P)) =983131

PisinPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Why ice

Do not consume

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

What is Lascouxrsquos formula

Letrsquos use different notation

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

From ice to bumpless pipe dreams

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Bumpless pipe dreams

A bumpless pipe dream (Lam-Lee-Shimozono 2018) is a tiling ofthe n times n grid with the six tiles pictured above so that there are npipes which

1 start at the right edge of the grid

2 end at the bottom edge and

3 pairwise cross at most one time

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The permutation of a bumpless pipe dream

1 2 3 4 5

Write BPD(w) for the set of bumpless pipe dreams of thepermutation w

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The weight of a bumpless pipe dream

If a tile sits in row i and column j assign it the weight (xi minus yj)The weight of a bumpless pipe dream is the product of the weightsof its tiles

y1 y2 y3 y4 y5

x1

x2

x3

x4

x5

wt(P) =

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Another Schubert formula

Theorem (Lam-Lee-Shimozono 2018 Lascoux 2002 Weigandt2020)

The double Schubert polynomial Sw (x y) is the partition function

Sw (x y) =983131

PisinBPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

First conjecture

Conjecture (Hamaker-P-Weigandt 2020)

If in≺d(Xw ) is reduced then

in≺d(Xw ) =

983134

PisinBPD(w)

C(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

True for vexillary permutations

A permutation is vexillary if it avoids the pattern 2143

Theorem (Knutson-Miller-Yong 2009)

With respect to a diagonal term order the lsquoobviousrsquo definingequations for I (Xw ) are a Grobner basis hArr w is vexillary

Theorem (Knutson-Miller-Yong 2009 Weigandt 2020)

The conjecture holds for w vexillary

2 2

3

1 2

3

1 2

2

1 1

3

1 1

2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Different generators

Take the lsquoobviousrsquo defining equations for I (Xw ) Some ofthem may be single variables zij Throw away all other termsthat contain them These are the CDG generators(Conca-De Negri-Gorla 2015)

A permutation is predominant if its Lehmer code is of theform λ0mℓ for some partition λ and m ℓ isin N

Theorem (Hamaker-P-Weigandt 2020)

If w is predominant then in≺d(Xw ) is reduced and CDG and the

main conjecture holds for w

w = 42153

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

CDG permutations

Theorem (Conj Hamaker-P-Weigandt 2020 Proved Klein 2020)

With respect to any diagonal term order the CDG generators forI (Xw ) are Grobner hArr w avoids the eight patterns 13254 21543214635 215364 241635 315264 215634 4261735 in S7

Corollary (Hamaker-P-Weigandt 2020 Klein 2020)

If Sw is a multiplicity-free sum of monomials then the CDGgenerators for I (Xw ) are diagonal Grobner

Proof

By comparing with the pattern conditions for multiplicity-freenessof Fink-Meszaros-St Dizier (2020)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Non-reduced degenerations

Given a scheme X and a reduced irreducible variety Y writemultY (X ) for the multiplicity of X along Y

Equivariant cohomology satisfies

HDtimesD(X ) =983131

j

multXj(X )HDtimesD(Xj)

where the sum is over the top-dimensional components of X

Example X = Spec(C[x y ]〈x2y〉) Then multx-axis(X ) = 1 andmulty-axis(X ) = 2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 12: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

Computing equivariant classes

Axioms for equivariant cohomologyFor B sub ntimesn let CB be the coordinate subspace 〈zij (i j) isin B〉

HDtimesD(CB) =983124

(i j)isinB(xi minus yj)

if X =983126m

i=1 Xi is a reduced scheme then

HDtimesD(X ) =983131

j

HDtimesD(Xj)

where the sum is over Xj with dimXj = dimX

If in≺X is a Grobner degeneration of X thenHDtimesD(X ) = HDtimesD(in≺X )

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Grobner degeneration

Choose a term order ≺ so that we have a initial term in≺f forevery f isin C[z]

Write in≺S = 〈in≺f f isin S〉

We write in≺X for the vanishing locus of in≺I (X ) where I (X ) isthe ideal of all polynomials vanishing on X in≺X is a Grobnerdegeneration of X

Since in≺I (X ) is generated by monomials in≺X is a union ofcoordinate subspaces But which ones

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Grobner bases

If I = 〈S〉 thenin≺I supe in≺S

Definition (Buchberger 1965)

S is a Grobner basis for the ideal I if I = 〈S〉 and in≺I = in≺S

A (anti)diagonal term order on C[z] is one where the initial termof any minor is the product of its main (anti)diagonal

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to an antidiagonal term order Itturns out these two polynomials are a Grobner basis so

in≺a I (X2143) = 〈z11 z13z22z31〉= 〈z11 z31〉 cap 〈z11 z22〉 cap 〈z11 z13〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to an antidiagonal term order Itturns out these two polynomials are a Grobner basis so

in≺a I (X2143) = 〈z11 z13z22z31〉= 〈z11 z31〉 cap 〈z11 z22〉 cap 〈z11 z13〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Pipe dreams are natural

Theorem (Knutson-Miller 2005)

With respect to an antidiagonal term order the lsquoobviousrsquogenerators for I (Xw ) are a Grobner basis

Theorem (Knutson-Miller 2005)

The initial scheme of Xw with respect to an antidiagonal termorder is a union of coordinate subspaces indexed by PD(w)

in≺a(Xw ) =983134

PisinPD(w)

C⊞(P)

Hence

Sw (x y) =983131

PisinPD(w)

HDtimesD(C⊞(P)) =983131

PisinPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Why ice

Do not consume

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

What is Lascouxrsquos formula

Letrsquos use different notation

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

From ice to bumpless pipe dreams

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Bumpless pipe dreams

A bumpless pipe dream (Lam-Lee-Shimozono 2018) is a tiling ofthe n times n grid with the six tiles pictured above so that there are npipes which

1 start at the right edge of the grid

2 end at the bottom edge and

3 pairwise cross at most one time

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The permutation of a bumpless pipe dream

1 2 3 4 5

Write BPD(w) for the set of bumpless pipe dreams of thepermutation w

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The weight of a bumpless pipe dream

If a tile sits in row i and column j assign it the weight (xi minus yj)The weight of a bumpless pipe dream is the product of the weightsof its tiles

y1 y2 y3 y4 y5

x1

x2

x3

x4

x5

wt(P) =

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Another Schubert formula

Theorem (Lam-Lee-Shimozono 2018 Lascoux 2002 Weigandt2020)

The double Schubert polynomial Sw (x y) is the partition function

Sw (x y) =983131

PisinBPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

First conjecture

Conjecture (Hamaker-P-Weigandt 2020)

If in≺d(Xw ) is reduced then

in≺d(Xw ) =

983134

PisinBPD(w)

C(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

True for vexillary permutations

A permutation is vexillary if it avoids the pattern 2143

Theorem (Knutson-Miller-Yong 2009)

With respect to a diagonal term order the lsquoobviousrsquo definingequations for I (Xw ) are a Grobner basis hArr w is vexillary

Theorem (Knutson-Miller-Yong 2009 Weigandt 2020)

The conjecture holds for w vexillary

2 2

3

1 2

3

1 2

2

1 1

3

1 1

2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Different generators

Take the lsquoobviousrsquo defining equations for I (Xw ) Some ofthem may be single variables zij Throw away all other termsthat contain them These are the CDG generators(Conca-De Negri-Gorla 2015)

A permutation is predominant if its Lehmer code is of theform λ0mℓ for some partition λ and m ℓ isin N

Theorem (Hamaker-P-Weigandt 2020)

If w is predominant then in≺d(Xw ) is reduced and CDG and the

main conjecture holds for w

w = 42153

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

CDG permutations

Theorem (Conj Hamaker-P-Weigandt 2020 Proved Klein 2020)

With respect to any diagonal term order the CDG generators forI (Xw ) are Grobner hArr w avoids the eight patterns 13254 21543214635 215364 241635 315264 215634 4261735 in S7

Corollary (Hamaker-P-Weigandt 2020 Klein 2020)

If Sw is a multiplicity-free sum of monomials then the CDGgenerators for I (Xw ) are diagonal Grobner

Proof

By comparing with the pattern conditions for multiplicity-freenessof Fink-Meszaros-St Dizier (2020)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Non-reduced degenerations

Given a scheme X and a reduced irreducible variety Y writemultY (X ) for the multiplicity of X along Y

Equivariant cohomology satisfies

HDtimesD(X ) =983131

j

multXj(X )HDtimesD(Xj)

where the sum is over the top-dimensional components of X

Example X = Spec(C[x y ]〈x2y〉) Then multx-axis(X ) = 1 andmulty-axis(X ) = 2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 13: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

Grobner degeneration

Choose a term order ≺ so that we have a initial term in≺f forevery f isin C[z]

Write in≺S = 〈in≺f f isin S〉

We write in≺X for the vanishing locus of in≺I (X ) where I (X ) isthe ideal of all polynomials vanishing on X in≺X is a Grobnerdegeneration of X

Since in≺I (X ) is generated by monomials in≺X is a union ofcoordinate subspaces But which ones

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Grobner bases

If I = 〈S〉 thenin≺I supe in≺S

Definition (Buchberger 1965)

S is a Grobner basis for the ideal I if I = 〈S〉 and in≺I = in≺S

A (anti)diagonal term order on C[z] is one where the initial termof any minor is the product of its main (anti)diagonal

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to an antidiagonal term order Itturns out these two polynomials are a Grobner basis so

in≺a I (X2143) = 〈z11 z13z22z31〉= 〈z11 z31〉 cap 〈z11 z22〉 cap 〈z11 z13〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to an antidiagonal term order Itturns out these two polynomials are a Grobner basis so

in≺a I (X2143) = 〈z11 z13z22z31〉= 〈z11 z31〉 cap 〈z11 z22〉 cap 〈z11 z13〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Pipe dreams are natural

Theorem (Knutson-Miller 2005)

With respect to an antidiagonal term order the lsquoobviousrsquogenerators for I (Xw ) are a Grobner basis

Theorem (Knutson-Miller 2005)

The initial scheme of Xw with respect to an antidiagonal termorder is a union of coordinate subspaces indexed by PD(w)

in≺a(Xw ) =983134

PisinPD(w)

C⊞(P)

Hence

Sw (x y) =983131

PisinPD(w)

HDtimesD(C⊞(P)) =983131

PisinPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Why ice

Do not consume

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

What is Lascouxrsquos formula

Letrsquos use different notation

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

From ice to bumpless pipe dreams

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Bumpless pipe dreams

A bumpless pipe dream (Lam-Lee-Shimozono 2018) is a tiling ofthe n times n grid with the six tiles pictured above so that there are npipes which

1 start at the right edge of the grid

2 end at the bottom edge and

3 pairwise cross at most one time

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The permutation of a bumpless pipe dream

1 2 3 4 5

Write BPD(w) for the set of bumpless pipe dreams of thepermutation w

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The weight of a bumpless pipe dream

If a tile sits in row i and column j assign it the weight (xi minus yj)The weight of a bumpless pipe dream is the product of the weightsof its tiles

y1 y2 y3 y4 y5

x1

x2

x3

x4

x5

wt(P) =

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Another Schubert formula

Theorem (Lam-Lee-Shimozono 2018 Lascoux 2002 Weigandt2020)

The double Schubert polynomial Sw (x y) is the partition function

Sw (x y) =983131

PisinBPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

First conjecture

Conjecture (Hamaker-P-Weigandt 2020)

If in≺d(Xw ) is reduced then

in≺d(Xw ) =

983134

PisinBPD(w)

C(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

True for vexillary permutations

A permutation is vexillary if it avoids the pattern 2143

Theorem (Knutson-Miller-Yong 2009)

With respect to a diagonal term order the lsquoobviousrsquo definingequations for I (Xw ) are a Grobner basis hArr w is vexillary

Theorem (Knutson-Miller-Yong 2009 Weigandt 2020)

The conjecture holds for w vexillary

2 2

3

1 2

3

1 2

2

1 1

3

1 1

2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Different generators

Take the lsquoobviousrsquo defining equations for I (Xw ) Some ofthem may be single variables zij Throw away all other termsthat contain them These are the CDG generators(Conca-De Negri-Gorla 2015)

A permutation is predominant if its Lehmer code is of theform λ0mℓ for some partition λ and m ℓ isin N

Theorem (Hamaker-P-Weigandt 2020)

If w is predominant then in≺d(Xw ) is reduced and CDG and the

main conjecture holds for w

w = 42153

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

CDG permutations

Theorem (Conj Hamaker-P-Weigandt 2020 Proved Klein 2020)

With respect to any diagonal term order the CDG generators forI (Xw ) are Grobner hArr w avoids the eight patterns 13254 21543214635 215364 241635 315264 215634 4261735 in S7

Corollary (Hamaker-P-Weigandt 2020 Klein 2020)

If Sw is a multiplicity-free sum of monomials then the CDGgenerators for I (Xw ) are diagonal Grobner

Proof

By comparing with the pattern conditions for multiplicity-freenessof Fink-Meszaros-St Dizier (2020)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Non-reduced degenerations

Given a scheme X and a reduced irreducible variety Y writemultY (X ) for the multiplicity of X along Y

Equivariant cohomology satisfies

HDtimesD(X ) =983131

j

multXj(X )HDtimesD(Xj)

where the sum is over the top-dimensional components of X

Example X = Spec(C[x y ]〈x2y〉) Then multx-axis(X ) = 1 andmulty-axis(X ) = 2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 14: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

Grobner bases

If I = 〈S〉 thenin≺I supe in≺S

Definition (Buchberger 1965)

S is a Grobner basis for the ideal I if I = 〈S〉 and in≺I = in≺S

A (anti)diagonal term order on C[z] is one where the initial termof any minor is the product of its main (anti)diagonal

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to an antidiagonal term order Itturns out these two polynomials are a Grobner basis so

in≺a I (X2143) = 〈z11 z13z22z31〉= 〈z11 z31〉 cap 〈z11 z22〉 cap 〈z11 z13〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to an antidiagonal term order Itturns out these two polynomials are a Grobner basis so

in≺a I (X2143) = 〈z11 z13z22z31〉= 〈z11 z31〉 cap 〈z11 z22〉 cap 〈z11 z13〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Pipe dreams are natural

Theorem (Knutson-Miller 2005)

With respect to an antidiagonal term order the lsquoobviousrsquogenerators for I (Xw ) are a Grobner basis

Theorem (Knutson-Miller 2005)

The initial scheme of Xw with respect to an antidiagonal termorder is a union of coordinate subspaces indexed by PD(w)

in≺a(Xw ) =983134

PisinPD(w)

C⊞(P)

Hence

Sw (x y) =983131

PisinPD(w)

HDtimesD(C⊞(P)) =983131

PisinPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Why ice

Do not consume

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

What is Lascouxrsquos formula

Letrsquos use different notation

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

From ice to bumpless pipe dreams

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Bumpless pipe dreams

A bumpless pipe dream (Lam-Lee-Shimozono 2018) is a tiling ofthe n times n grid with the six tiles pictured above so that there are npipes which

1 start at the right edge of the grid

2 end at the bottom edge and

3 pairwise cross at most one time

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The permutation of a bumpless pipe dream

1 2 3 4 5

Write BPD(w) for the set of bumpless pipe dreams of thepermutation w

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The weight of a bumpless pipe dream

If a tile sits in row i and column j assign it the weight (xi minus yj)The weight of a bumpless pipe dream is the product of the weightsof its tiles

y1 y2 y3 y4 y5

x1

x2

x3

x4

x5

wt(P) =

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Another Schubert formula

Theorem (Lam-Lee-Shimozono 2018 Lascoux 2002 Weigandt2020)

The double Schubert polynomial Sw (x y) is the partition function

Sw (x y) =983131

PisinBPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

First conjecture

Conjecture (Hamaker-P-Weigandt 2020)

If in≺d(Xw ) is reduced then

in≺d(Xw ) =

983134

PisinBPD(w)

C(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

True for vexillary permutations

A permutation is vexillary if it avoids the pattern 2143

Theorem (Knutson-Miller-Yong 2009)

With respect to a diagonal term order the lsquoobviousrsquo definingequations for I (Xw ) are a Grobner basis hArr w is vexillary

Theorem (Knutson-Miller-Yong 2009 Weigandt 2020)

The conjecture holds for w vexillary

2 2

3

1 2

3

1 2

2

1 1

3

1 1

2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Different generators

Take the lsquoobviousrsquo defining equations for I (Xw ) Some ofthem may be single variables zij Throw away all other termsthat contain them These are the CDG generators(Conca-De Negri-Gorla 2015)

A permutation is predominant if its Lehmer code is of theform λ0mℓ for some partition λ and m ℓ isin N

Theorem (Hamaker-P-Weigandt 2020)

If w is predominant then in≺d(Xw ) is reduced and CDG and the

main conjecture holds for w

w = 42153

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

CDG permutations

Theorem (Conj Hamaker-P-Weigandt 2020 Proved Klein 2020)

With respect to any diagonal term order the CDG generators forI (Xw ) are Grobner hArr w avoids the eight patterns 13254 21543214635 215364 241635 315264 215634 4261735 in S7

Corollary (Hamaker-P-Weigandt 2020 Klein 2020)

If Sw is a multiplicity-free sum of monomials then the CDGgenerators for I (Xw ) are diagonal Grobner

Proof

By comparing with the pattern conditions for multiplicity-freenessof Fink-Meszaros-St Dizier (2020)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Non-reduced degenerations

Given a scheme X and a reduced irreducible variety Y writemultY (X ) for the multiplicity of X along Y

Equivariant cohomology satisfies

HDtimesD(X ) =983131

j

multXj(X )HDtimesD(Xj)

where the sum is over the top-dimensional components of X

Example X = Spec(C[x y ]〈x2y〉) Then multx-axis(X ) = 1 andmulty-axis(X ) = 2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 15: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

Example

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to an antidiagonal term order Itturns out these two polynomials are a Grobner basis so

in≺a I (X2143) = 〈z11 z13z22z31〉= 〈z11 z31〉 cap 〈z11 z22〉 cap 〈z11 z13〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to an antidiagonal term order Itturns out these two polynomials are a Grobner basis so

in≺a I (X2143) = 〈z11 z13z22z31〉= 〈z11 z31〉 cap 〈z11 z22〉 cap 〈z11 z13〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Pipe dreams are natural

Theorem (Knutson-Miller 2005)

With respect to an antidiagonal term order the lsquoobviousrsquogenerators for I (Xw ) are a Grobner basis

Theorem (Knutson-Miller 2005)

The initial scheme of Xw with respect to an antidiagonal termorder is a union of coordinate subspaces indexed by PD(w)

in≺a(Xw ) =983134

PisinPD(w)

C⊞(P)

Hence

Sw (x y) =983131

PisinPD(w)

HDtimesD(C⊞(P)) =983131

PisinPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Why ice

Do not consume

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

What is Lascouxrsquos formula

Letrsquos use different notation

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

From ice to bumpless pipe dreams

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Bumpless pipe dreams

A bumpless pipe dream (Lam-Lee-Shimozono 2018) is a tiling ofthe n times n grid with the six tiles pictured above so that there are npipes which

1 start at the right edge of the grid

2 end at the bottom edge and

3 pairwise cross at most one time

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The permutation of a bumpless pipe dream

1 2 3 4 5

Write BPD(w) for the set of bumpless pipe dreams of thepermutation w

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The weight of a bumpless pipe dream

If a tile sits in row i and column j assign it the weight (xi minus yj)The weight of a bumpless pipe dream is the product of the weightsof its tiles

y1 y2 y3 y4 y5

x1

x2

x3

x4

x5

wt(P) =

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Another Schubert formula

Theorem (Lam-Lee-Shimozono 2018 Lascoux 2002 Weigandt2020)

The double Schubert polynomial Sw (x y) is the partition function

Sw (x y) =983131

PisinBPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

First conjecture

Conjecture (Hamaker-P-Weigandt 2020)

If in≺d(Xw ) is reduced then

in≺d(Xw ) =

983134

PisinBPD(w)

C(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

True for vexillary permutations

A permutation is vexillary if it avoids the pattern 2143

Theorem (Knutson-Miller-Yong 2009)

With respect to a diagonal term order the lsquoobviousrsquo definingequations for I (Xw ) are a Grobner basis hArr w is vexillary

Theorem (Knutson-Miller-Yong 2009 Weigandt 2020)

The conjecture holds for w vexillary

2 2

3

1 2

3

1 2

2

1 1

3

1 1

2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Different generators

Take the lsquoobviousrsquo defining equations for I (Xw ) Some ofthem may be single variables zij Throw away all other termsthat contain them These are the CDG generators(Conca-De Negri-Gorla 2015)

A permutation is predominant if its Lehmer code is of theform λ0mℓ for some partition λ and m ℓ isin N

Theorem (Hamaker-P-Weigandt 2020)

If w is predominant then in≺d(Xw ) is reduced and CDG and the

main conjecture holds for w

w = 42153

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

CDG permutations

Theorem (Conj Hamaker-P-Weigandt 2020 Proved Klein 2020)

With respect to any diagonal term order the CDG generators forI (Xw ) are Grobner hArr w avoids the eight patterns 13254 21543214635 215364 241635 315264 215634 4261735 in S7

Corollary (Hamaker-P-Weigandt 2020 Klein 2020)

If Sw is a multiplicity-free sum of monomials then the CDGgenerators for I (Xw ) are diagonal Grobner

Proof

By comparing with the pattern conditions for multiplicity-freenessof Fink-Meszaros-St Dizier (2020)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Non-reduced degenerations

Given a scheme X and a reduced irreducible variety Y writemultY (X ) for the multiplicity of X along Y

Equivariant cohomology satisfies

HDtimesD(X ) =983131

j

multXj(X )HDtimesD(Xj)

where the sum is over the top-dimensional components of X

Example X = Spec(C[x y ]〈x2y〉) Then multx-axis(X ) = 1 andmulty-axis(X ) = 2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 16: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

Example

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to an antidiagonal term order Itturns out these two polynomials are a Grobner basis so

in≺a I (X2143) = 〈z11 z13z22z31〉= 〈z11 z31〉 cap 〈z11 z22〉 cap 〈z11 z13〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Pipe dreams are natural

Theorem (Knutson-Miller 2005)

With respect to an antidiagonal term order the lsquoobviousrsquogenerators for I (Xw ) are a Grobner basis

Theorem (Knutson-Miller 2005)

The initial scheme of Xw with respect to an antidiagonal termorder is a union of coordinate subspaces indexed by PD(w)

in≺a(Xw ) =983134

PisinPD(w)

C⊞(P)

Hence

Sw (x y) =983131

PisinPD(w)

HDtimesD(C⊞(P)) =983131

PisinPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Why ice

Do not consume

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

What is Lascouxrsquos formula

Letrsquos use different notation

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

From ice to bumpless pipe dreams

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Bumpless pipe dreams

A bumpless pipe dream (Lam-Lee-Shimozono 2018) is a tiling ofthe n times n grid with the six tiles pictured above so that there are npipes which

1 start at the right edge of the grid

2 end at the bottom edge and

3 pairwise cross at most one time

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The permutation of a bumpless pipe dream

1 2 3 4 5

Write BPD(w) for the set of bumpless pipe dreams of thepermutation w

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The weight of a bumpless pipe dream

If a tile sits in row i and column j assign it the weight (xi minus yj)The weight of a bumpless pipe dream is the product of the weightsof its tiles

y1 y2 y3 y4 y5

x1

x2

x3

x4

x5

wt(P) =

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Another Schubert formula

Theorem (Lam-Lee-Shimozono 2018 Lascoux 2002 Weigandt2020)

The double Schubert polynomial Sw (x y) is the partition function

Sw (x y) =983131

PisinBPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

First conjecture

Conjecture (Hamaker-P-Weigandt 2020)

If in≺d(Xw ) is reduced then

in≺d(Xw ) =

983134

PisinBPD(w)

C(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

True for vexillary permutations

A permutation is vexillary if it avoids the pattern 2143

Theorem (Knutson-Miller-Yong 2009)

With respect to a diagonal term order the lsquoobviousrsquo definingequations for I (Xw ) are a Grobner basis hArr w is vexillary

Theorem (Knutson-Miller-Yong 2009 Weigandt 2020)

The conjecture holds for w vexillary

2 2

3

1 2

3

1 2

2

1 1

3

1 1

2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Different generators

Take the lsquoobviousrsquo defining equations for I (Xw ) Some ofthem may be single variables zij Throw away all other termsthat contain them These are the CDG generators(Conca-De Negri-Gorla 2015)

A permutation is predominant if its Lehmer code is of theform λ0mℓ for some partition λ and m ℓ isin N

Theorem (Hamaker-P-Weigandt 2020)

If w is predominant then in≺d(Xw ) is reduced and CDG and the

main conjecture holds for w

w = 42153

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

CDG permutations

Theorem (Conj Hamaker-P-Weigandt 2020 Proved Klein 2020)

With respect to any diagonal term order the CDG generators forI (Xw ) are Grobner hArr w avoids the eight patterns 13254 21543214635 215364 241635 315264 215634 4261735 in S7

Corollary (Hamaker-P-Weigandt 2020 Klein 2020)

If Sw is a multiplicity-free sum of monomials then the CDGgenerators for I (Xw ) are diagonal Grobner

Proof

By comparing with the pattern conditions for multiplicity-freenessof Fink-Meszaros-St Dizier (2020)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Non-reduced degenerations

Given a scheme X and a reduced irreducible variety Y writemultY (X ) for the multiplicity of X along Y

Equivariant cohomology satisfies

HDtimesD(X ) =983131

j

multXj(X )HDtimesD(Xj)

where the sum is over the top-dimensional components of X

Example X = Spec(C[x y ]〈x2y〉) Then multx-axis(X ) = 1 andmulty-axis(X ) = 2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 17: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

Pipe dreams are natural

Theorem (Knutson-Miller 2005)

With respect to an antidiagonal term order the lsquoobviousrsquogenerators for I (Xw ) are a Grobner basis

Theorem (Knutson-Miller 2005)

The initial scheme of Xw with respect to an antidiagonal termorder is a union of coordinate subspaces indexed by PD(w)

in≺a(Xw ) =983134

PisinPD(w)

C⊞(P)

Hence

Sw (x y) =983131

PisinPD(w)

HDtimesD(C⊞(P)) =983131

PisinPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Why ice

Do not consume

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

What is Lascouxrsquos formula

Letrsquos use different notation

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

From ice to bumpless pipe dreams

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Bumpless pipe dreams

A bumpless pipe dream (Lam-Lee-Shimozono 2018) is a tiling ofthe n times n grid with the six tiles pictured above so that there are npipes which

1 start at the right edge of the grid

2 end at the bottom edge and

3 pairwise cross at most one time

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The permutation of a bumpless pipe dream

1 2 3 4 5

Write BPD(w) for the set of bumpless pipe dreams of thepermutation w

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The weight of a bumpless pipe dream

If a tile sits in row i and column j assign it the weight (xi minus yj)The weight of a bumpless pipe dream is the product of the weightsof its tiles

y1 y2 y3 y4 y5

x1

x2

x3

x4

x5

wt(P) =

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Another Schubert formula

Theorem (Lam-Lee-Shimozono 2018 Lascoux 2002 Weigandt2020)

The double Schubert polynomial Sw (x y) is the partition function

Sw (x y) =983131

PisinBPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

First conjecture

Conjecture (Hamaker-P-Weigandt 2020)

If in≺d(Xw ) is reduced then

in≺d(Xw ) =

983134

PisinBPD(w)

C(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

True for vexillary permutations

A permutation is vexillary if it avoids the pattern 2143

Theorem (Knutson-Miller-Yong 2009)

With respect to a diagonal term order the lsquoobviousrsquo definingequations for I (Xw ) are a Grobner basis hArr w is vexillary

Theorem (Knutson-Miller-Yong 2009 Weigandt 2020)

The conjecture holds for w vexillary

2 2

3

1 2

3

1 2

2

1 1

3

1 1

2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Different generators

Take the lsquoobviousrsquo defining equations for I (Xw ) Some ofthem may be single variables zij Throw away all other termsthat contain them These are the CDG generators(Conca-De Negri-Gorla 2015)

A permutation is predominant if its Lehmer code is of theform λ0mℓ for some partition λ and m ℓ isin N

Theorem (Hamaker-P-Weigandt 2020)

If w is predominant then in≺d(Xw ) is reduced and CDG and the

main conjecture holds for w

w = 42153

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

CDG permutations

Theorem (Conj Hamaker-P-Weigandt 2020 Proved Klein 2020)

With respect to any diagonal term order the CDG generators forI (Xw ) are Grobner hArr w avoids the eight patterns 13254 21543214635 215364 241635 315264 215634 4261735 in S7

Corollary (Hamaker-P-Weigandt 2020 Klein 2020)

If Sw is a multiplicity-free sum of monomials then the CDGgenerators for I (Xw ) are diagonal Grobner

Proof

By comparing with the pattern conditions for multiplicity-freenessof Fink-Meszaros-St Dizier (2020)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Non-reduced degenerations

Given a scheme X and a reduced irreducible variety Y writemultY (X ) for the multiplicity of X along Y

Equivariant cohomology satisfies

HDtimesD(X ) =983131

j

multXj(X )HDtimesD(Xj)

where the sum is over the top-dimensional components of X

Example X = Spec(C[x y ]〈x2y〉) Then multx-axis(X ) = 1 andmulty-axis(X ) = 2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 18: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Why ice

Do not consume

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

What is Lascouxrsquos formula

Letrsquos use different notation

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

From ice to bumpless pipe dreams

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Bumpless pipe dreams

A bumpless pipe dream (Lam-Lee-Shimozono 2018) is a tiling ofthe n times n grid with the six tiles pictured above so that there are npipes which

1 start at the right edge of the grid

2 end at the bottom edge and

3 pairwise cross at most one time

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The permutation of a bumpless pipe dream

1 2 3 4 5

Write BPD(w) for the set of bumpless pipe dreams of thepermutation w

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The weight of a bumpless pipe dream

If a tile sits in row i and column j assign it the weight (xi minus yj)The weight of a bumpless pipe dream is the product of the weightsof its tiles

y1 y2 y3 y4 y5

x1

x2

x3

x4

x5

wt(P) =

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Another Schubert formula

Theorem (Lam-Lee-Shimozono 2018 Lascoux 2002 Weigandt2020)

The double Schubert polynomial Sw (x y) is the partition function

Sw (x y) =983131

PisinBPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

First conjecture

Conjecture (Hamaker-P-Weigandt 2020)

If in≺d(Xw ) is reduced then

in≺d(Xw ) =

983134

PisinBPD(w)

C(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

True for vexillary permutations

A permutation is vexillary if it avoids the pattern 2143

Theorem (Knutson-Miller-Yong 2009)

With respect to a diagonal term order the lsquoobviousrsquo definingequations for I (Xw ) are a Grobner basis hArr w is vexillary

Theorem (Knutson-Miller-Yong 2009 Weigandt 2020)

The conjecture holds for w vexillary

2 2

3

1 2

3

1 2

2

1 1

3

1 1

2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Different generators

Take the lsquoobviousrsquo defining equations for I (Xw ) Some ofthem may be single variables zij Throw away all other termsthat contain them These are the CDG generators(Conca-De Negri-Gorla 2015)

A permutation is predominant if its Lehmer code is of theform λ0mℓ for some partition λ and m ℓ isin N

Theorem (Hamaker-P-Weigandt 2020)

If w is predominant then in≺d(Xw ) is reduced and CDG and the

main conjecture holds for w

w = 42153

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

CDG permutations

Theorem (Conj Hamaker-P-Weigandt 2020 Proved Klein 2020)

With respect to any diagonal term order the CDG generators forI (Xw ) are Grobner hArr w avoids the eight patterns 13254 21543214635 215364 241635 315264 215634 4261735 in S7

Corollary (Hamaker-P-Weigandt 2020 Klein 2020)

If Sw is a multiplicity-free sum of monomials then the CDGgenerators for I (Xw ) are diagonal Grobner

Proof

By comparing with the pattern conditions for multiplicity-freenessof Fink-Meszaros-St Dizier (2020)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Non-reduced degenerations

Given a scheme X and a reduced irreducible variety Y writemultY (X ) for the multiplicity of X along Y

Equivariant cohomology satisfies

HDtimesD(X ) =983131

j

multXj(X )HDtimesD(Xj)

where the sum is over the top-dimensional components of X

Example X = Spec(C[x y ]〈x2y〉) Then multx-axis(X ) = 1 andmulty-axis(X ) = 2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 19: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

Lascouxrsquos ice formula

In an unpublished manuscript ldquoChern and Yang through icerdquoLascoux (2002) gave a different combinatorial formula for Schubertpolynomials in terms of square ice

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Why ice

Do not consume

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

What is Lascouxrsquos formula

Letrsquos use different notation

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

From ice to bumpless pipe dreams

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Bumpless pipe dreams

A bumpless pipe dream (Lam-Lee-Shimozono 2018) is a tiling ofthe n times n grid with the six tiles pictured above so that there are npipes which

1 start at the right edge of the grid

2 end at the bottom edge and

3 pairwise cross at most one time

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The permutation of a bumpless pipe dream

1 2 3 4 5

Write BPD(w) for the set of bumpless pipe dreams of thepermutation w

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The weight of a bumpless pipe dream

If a tile sits in row i and column j assign it the weight (xi minus yj)The weight of a bumpless pipe dream is the product of the weightsof its tiles

y1 y2 y3 y4 y5

x1

x2

x3

x4

x5

wt(P) =

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Another Schubert formula

Theorem (Lam-Lee-Shimozono 2018 Lascoux 2002 Weigandt2020)

The double Schubert polynomial Sw (x y) is the partition function

Sw (x y) =983131

PisinBPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

First conjecture

Conjecture (Hamaker-P-Weigandt 2020)

If in≺d(Xw ) is reduced then

in≺d(Xw ) =

983134

PisinBPD(w)

C(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

True for vexillary permutations

A permutation is vexillary if it avoids the pattern 2143

Theorem (Knutson-Miller-Yong 2009)

With respect to a diagonal term order the lsquoobviousrsquo definingequations for I (Xw ) are a Grobner basis hArr w is vexillary

Theorem (Knutson-Miller-Yong 2009 Weigandt 2020)

The conjecture holds for w vexillary

2 2

3

1 2

3

1 2

2

1 1

3

1 1

2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Different generators

Take the lsquoobviousrsquo defining equations for I (Xw ) Some ofthem may be single variables zij Throw away all other termsthat contain them These are the CDG generators(Conca-De Negri-Gorla 2015)

A permutation is predominant if its Lehmer code is of theform λ0mℓ for some partition λ and m ℓ isin N

Theorem (Hamaker-P-Weigandt 2020)

If w is predominant then in≺d(Xw ) is reduced and CDG and the

main conjecture holds for w

w = 42153

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

CDG permutations

Theorem (Conj Hamaker-P-Weigandt 2020 Proved Klein 2020)

With respect to any diagonal term order the CDG generators forI (Xw ) are Grobner hArr w avoids the eight patterns 13254 21543214635 215364 241635 315264 215634 4261735 in S7

Corollary (Hamaker-P-Weigandt 2020 Klein 2020)

If Sw is a multiplicity-free sum of monomials then the CDGgenerators for I (Xw ) are diagonal Grobner

Proof

By comparing with the pattern conditions for multiplicity-freenessof Fink-Meszaros-St Dizier (2020)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Non-reduced degenerations

Given a scheme X and a reduced irreducible variety Y writemultY (X ) for the multiplicity of X along Y

Equivariant cohomology satisfies

HDtimesD(X ) =983131

j

multXj(X )HDtimesD(Xj)

where the sum is over the top-dimensional components of X

Example X = Spec(C[x y ]〈x2y〉) Then multx-axis(X ) = 1 andmulty-axis(X ) = 2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 20: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

Why ice

Do not consume

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

What is Lascouxrsquos formula

Letrsquos use different notation

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

From ice to bumpless pipe dreams

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Bumpless pipe dreams

A bumpless pipe dream (Lam-Lee-Shimozono 2018) is a tiling ofthe n times n grid with the six tiles pictured above so that there are npipes which

1 start at the right edge of the grid

2 end at the bottom edge and

3 pairwise cross at most one time

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The permutation of a bumpless pipe dream

1 2 3 4 5

Write BPD(w) for the set of bumpless pipe dreams of thepermutation w

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The weight of a bumpless pipe dream

If a tile sits in row i and column j assign it the weight (xi minus yj)The weight of a bumpless pipe dream is the product of the weightsof its tiles

y1 y2 y3 y4 y5

x1

x2

x3

x4

x5

wt(P) =

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Another Schubert formula

Theorem (Lam-Lee-Shimozono 2018 Lascoux 2002 Weigandt2020)

The double Schubert polynomial Sw (x y) is the partition function

Sw (x y) =983131

PisinBPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

First conjecture

Conjecture (Hamaker-P-Weigandt 2020)

If in≺d(Xw ) is reduced then

in≺d(Xw ) =

983134

PisinBPD(w)

C(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

True for vexillary permutations

A permutation is vexillary if it avoids the pattern 2143

Theorem (Knutson-Miller-Yong 2009)

With respect to a diagonal term order the lsquoobviousrsquo definingequations for I (Xw ) are a Grobner basis hArr w is vexillary

Theorem (Knutson-Miller-Yong 2009 Weigandt 2020)

The conjecture holds for w vexillary

2 2

3

1 2

3

1 2

2

1 1

3

1 1

2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Different generators

Take the lsquoobviousrsquo defining equations for I (Xw ) Some ofthem may be single variables zij Throw away all other termsthat contain them These are the CDG generators(Conca-De Negri-Gorla 2015)

A permutation is predominant if its Lehmer code is of theform λ0mℓ for some partition λ and m ℓ isin N

Theorem (Hamaker-P-Weigandt 2020)

If w is predominant then in≺d(Xw ) is reduced and CDG and the

main conjecture holds for w

w = 42153

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

CDG permutations

Theorem (Conj Hamaker-P-Weigandt 2020 Proved Klein 2020)

With respect to any diagonal term order the CDG generators forI (Xw ) are Grobner hArr w avoids the eight patterns 13254 21543214635 215364 241635 315264 215634 4261735 in S7

Corollary (Hamaker-P-Weigandt 2020 Klein 2020)

If Sw is a multiplicity-free sum of monomials then the CDGgenerators for I (Xw ) are diagonal Grobner

Proof

By comparing with the pattern conditions for multiplicity-freenessof Fink-Meszaros-St Dizier (2020)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Non-reduced degenerations

Given a scheme X and a reduced irreducible variety Y writemultY (X ) for the multiplicity of X along Y

Equivariant cohomology satisfies

HDtimesD(X ) =983131

j

multXj(X )HDtimesD(Xj)

where the sum is over the top-dimensional components of X

Example X = Spec(C[x y ]〈x2y〉) Then multx-axis(X ) = 1 andmulty-axis(X ) = 2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 21: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

What is Lascouxrsquos formula

Letrsquos use different notation

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

From ice to bumpless pipe dreams

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Bumpless pipe dreams

A bumpless pipe dream (Lam-Lee-Shimozono 2018) is a tiling ofthe n times n grid with the six tiles pictured above so that there are npipes which

1 start at the right edge of the grid

2 end at the bottom edge and

3 pairwise cross at most one time

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The permutation of a bumpless pipe dream

1 2 3 4 5

Write BPD(w) for the set of bumpless pipe dreams of thepermutation w

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The weight of a bumpless pipe dream

If a tile sits in row i and column j assign it the weight (xi minus yj)The weight of a bumpless pipe dream is the product of the weightsof its tiles

y1 y2 y3 y4 y5

x1

x2

x3

x4

x5

wt(P) =

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Another Schubert formula

Theorem (Lam-Lee-Shimozono 2018 Lascoux 2002 Weigandt2020)

The double Schubert polynomial Sw (x y) is the partition function

Sw (x y) =983131

PisinBPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

First conjecture

Conjecture (Hamaker-P-Weigandt 2020)

If in≺d(Xw ) is reduced then

in≺d(Xw ) =

983134

PisinBPD(w)

C(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

True for vexillary permutations

A permutation is vexillary if it avoids the pattern 2143

Theorem (Knutson-Miller-Yong 2009)

With respect to a diagonal term order the lsquoobviousrsquo definingequations for I (Xw ) are a Grobner basis hArr w is vexillary

Theorem (Knutson-Miller-Yong 2009 Weigandt 2020)

The conjecture holds for w vexillary

2 2

3

1 2

3

1 2

2

1 1

3

1 1

2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Different generators

Take the lsquoobviousrsquo defining equations for I (Xw ) Some ofthem may be single variables zij Throw away all other termsthat contain them These are the CDG generators(Conca-De Negri-Gorla 2015)

A permutation is predominant if its Lehmer code is of theform λ0mℓ for some partition λ and m ℓ isin N

Theorem (Hamaker-P-Weigandt 2020)

If w is predominant then in≺d(Xw ) is reduced and CDG and the

main conjecture holds for w

w = 42153

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

CDG permutations

Theorem (Conj Hamaker-P-Weigandt 2020 Proved Klein 2020)

With respect to any diagonal term order the CDG generators forI (Xw ) are Grobner hArr w avoids the eight patterns 13254 21543214635 215364 241635 315264 215634 4261735 in S7

Corollary (Hamaker-P-Weigandt 2020 Klein 2020)

If Sw is a multiplicity-free sum of monomials then the CDGgenerators for I (Xw ) are diagonal Grobner

Proof

By comparing with the pattern conditions for multiplicity-freenessof Fink-Meszaros-St Dizier (2020)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Non-reduced degenerations

Given a scheme X and a reduced irreducible variety Y writemultY (X ) for the multiplicity of X along Y

Equivariant cohomology satisfies

HDtimesD(X ) =983131

j

multXj(X )HDtimesD(Xj)

where the sum is over the top-dimensional components of X

Example X = Spec(C[x y ]〈x2y〉) Then multx-axis(X ) = 1 andmulty-axis(X ) = 2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 22: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

From ice to bumpless pipe dreams

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Bumpless pipe dreams

A bumpless pipe dream (Lam-Lee-Shimozono 2018) is a tiling ofthe n times n grid with the six tiles pictured above so that there are npipes which

1 start at the right edge of the grid

2 end at the bottom edge and

3 pairwise cross at most one time

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The permutation of a bumpless pipe dream

1 2 3 4 5

Write BPD(w) for the set of bumpless pipe dreams of thepermutation w

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The weight of a bumpless pipe dream

If a tile sits in row i and column j assign it the weight (xi minus yj)The weight of a bumpless pipe dream is the product of the weightsof its tiles

y1 y2 y3 y4 y5

x1

x2

x3

x4

x5

wt(P) =

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Another Schubert formula

Theorem (Lam-Lee-Shimozono 2018 Lascoux 2002 Weigandt2020)

The double Schubert polynomial Sw (x y) is the partition function

Sw (x y) =983131

PisinBPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

First conjecture

Conjecture (Hamaker-P-Weigandt 2020)

If in≺d(Xw ) is reduced then

in≺d(Xw ) =

983134

PisinBPD(w)

C(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

True for vexillary permutations

A permutation is vexillary if it avoids the pattern 2143

Theorem (Knutson-Miller-Yong 2009)

With respect to a diagonal term order the lsquoobviousrsquo definingequations for I (Xw ) are a Grobner basis hArr w is vexillary

Theorem (Knutson-Miller-Yong 2009 Weigandt 2020)

The conjecture holds for w vexillary

2 2

3

1 2

3

1 2

2

1 1

3

1 1

2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Different generators

Take the lsquoobviousrsquo defining equations for I (Xw ) Some ofthem may be single variables zij Throw away all other termsthat contain them These are the CDG generators(Conca-De Negri-Gorla 2015)

A permutation is predominant if its Lehmer code is of theform λ0mℓ for some partition λ and m ℓ isin N

Theorem (Hamaker-P-Weigandt 2020)

If w is predominant then in≺d(Xw ) is reduced and CDG and the

main conjecture holds for w

w = 42153

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

CDG permutations

Theorem (Conj Hamaker-P-Weigandt 2020 Proved Klein 2020)

With respect to any diagonal term order the CDG generators forI (Xw ) are Grobner hArr w avoids the eight patterns 13254 21543214635 215364 241635 315264 215634 4261735 in S7

Corollary (Hamaker-P-Weigandt 2020 Klein 2020)

If Sw is a multiplicity-free sum of monomials then the CDGgenerators for I (Xw ) are diagonal Grobner

Proof

By comparing with the pattern conditions for multiplicity-freenessof Fink-Meszaros-St Dizier (2020)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Non-reduced degenerations

Given a scheme X and a reduced irreducible variety Y writemultY (X ) for the multiplicity of X along Y

Equivariant cohomology satisfies

HDtimesD(X ) =983131

j

multXj(X )HDtimesD(Xj)

where the sum is over the top-dimensional components of X

Example X = Spec(C[x y ]〈x2y〉) Then multx-axis(X ) = 1 andmulty-axis(X ) = 2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 23: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

Bumpless pipe dreams

A bumpless pipe dream (Lam-Lee-Shimozono 2018) is a tiling ofthe n times n grid with the six tiles pictured above so that there are npipes which

1 start at the right edge of the grid

2 end at the bottom edge and

3 pairwise cross at most one time

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The permutation of a bumpless pipe dream

1 2 3 4 5

Write BPD(w) for the set of bumpless pipe dreams of thepermutation w

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The weight of a bumpless pipe dream

If a tile sits in row i and column j assign it the weight (xi minus yj)The weight of a bumpless pipe dream is the product of the weightsof its tiles

y1 y2 y3 y4 y5

x1

x2

x3

x4

x5

wt(P) =

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Another Schubert formula

Theorem (Lam-Lee-Shimozono 2018 Lascoux 2002 Weigandt2020)

The double Schubert polynomial Sw (x y) is the partition function

Sw (x y) =983131

PisinBPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

First conjecture

Conjecture (Hamaker-P-Weigandt 2020)

If in≺d(Xw ) is reduced then

in≺d(Xw ) =

983134

PisinBPD(w)

C(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

True for vexillary permutations

A permutation is vexillary if it avoids the pattern 2143

Theorem (Knutson-Miller-Yong 2009)

With respect to a diagonal term order the lsquoobviousrsquo definingequations for I (Xw ) are a Grobner basis hArr w is vexillary

Theorem (Knutson-Miller-Yong 2009 Weigandt 2020)

The conjecture holds for w vexillary

2 2

3

1 2

3

1 2

2

1 1

3

1 1

2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Different generators

Take the lsquoobviousrsquo defining equations for I (Xw ) Some ofthem may be single variables zij Throw away all other termsthat contain them These are the CDG generators(Conca-De Negri-Gorla 2015)

A permutation is predominant if its Lehmer code is of theform λ0mℓ for some partition λ and m ℓ isin N

Theorem (Hamaker-P-Weigandt 2020)

If w is predominant then in≺d(Xw ) is reduced and CDG and the

main conjecture holds for w

w = 42153

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

CDG permutations

Theorem (Conj Hamaker-P-Weigandt 2020 Proved Klein 2020)

With respect to any diagonal term order the CDG generators forI (Xw ) are Grobner hArr w avoids the eight patterns 13254 21543214635 215364 241635 315264 215634 4261735 in S7

Corollary (Hamaker-P-Weigandt 2020 Klein 2020)

If Sw is a multiplicity-free sum of monomials then the CDGgenerators for I (Xw ) are diagonal Grobner

Proof

By comparing with the pattern conditions for multiplicity-freenessof Fink-Meszaros-St Dizier (2020)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Non-reduced degenerations

Given a scheme X and a reduced irreducible variety Y writemultY (X ) for the multiplicity of X along Y

Equivariant cohomology satisfies

HDtimesD(X ) =983131

j

multXj(X )HDtimesD(Xj)

where the sum is over the top-dimensional components of X

Example X = Spec(C[x y ]〈x2y〉) Then multx-axis(X ) = 1 andmulty-axis(X ) = 2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 24: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

The permutation of a bumpless pipe dream

1 2 3 4 5

Write BPD(w) for the set of bumpless pipe dreams of thepermutation w

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The weight of a bumpless pipe dream

If a tile sits in row i and column j assign it the weight (xi minus yj)The weight of a bumpless pipe dream is the product of the weightsof its tiles

y1 y2 y3 y4 y5

x1

x2

x3

x4

x5

wt(P) =

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Another Schubert formula

Theorem (Lam-Lee-Shimozono 2018 Lascoux 2002 Weigandt2020)

The double Schubert polynomial Sw (x y) is the partition function

Sw (x y) =983131

PisinBPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

First conjecture

Conjecture (Hamaker-P-Weigandt 2020)

If in≺d(Xw ) is reduced then

in≺d(Xw ) =

983134

PisinBPD(w)

C(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

True for vexillary permutations

A permutation is vexillary if it avoids the pattern 2143

Theorem (Knutson-Miller-Yong 2009)

With respect to a diagonal term order the lsquoobviousrsquo definingequations for I (Xw ) are a Grobner basis hArr w is vexillary

Theorem (Knutson-Miller-Yong 2009 Weigandt 2020)

The conjecture holds for w vexillary

2 2

3

1 2

3

1 2

2

1 1

3

1 1

2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Different generators

Take the lsquoobviousrsquo defining equations for I (Xw ) Some ofthem may be single variables zij Throw away all other termsthat contain them These are the CDG generators(Conca-De Negri-Gorla 2015)

A permutation is predominant if its Lehmer code is of theform λ0mℓ for some partition λ and m ℓ isin N

Theorem (Hamaker-P-Weigandt 2020)

If w is predominant then in≺d(Xw ) is reduced and CDG and the

main conjecture holds for w

w = 42153

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

CDG permutations

Theorem (Conj Hamaker-P-Weigandt 2020 Proved Klein 2020)

With respect to any diagonal term order the CDG generators forI (Xw ) are Grobner hArr w avoids the eight patterns 13254 21543214635 215364 241635 315264 215634 4261735 in S7

Corollary (Hamaker-P-Weigandt 2020 Klein 2020)

If Sw is a multiplicity-free sum of monomials then the CDGgenerators for I (Xw ) are diagonal Grobner

Proof

By comparing with the pattern conditions for multiplicity-freenessof Fink-Meszaros-St Dizier (2020)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Non-reduced degenerations

Given a scheme X and a reduced irreducible variety Y writemultY (X ) for the multiplicity of X along Y

Equivariant cohomology satisfies

HDtimesD(X ) =983131

j

multXj(X )HDtimesD(Xj)

where the sum is over the top-dimensional components of X

Example X = Spec(C[x y ]〈x2y〉) Then multx-axis(X ) = 1 andmulty-axis(X ) = 2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 25: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

The weight of a bumpless pipe dream

If a tile sits in row i and column j assign it the weight (xi minus yj)The weight of a bumpless pipe dream is the product of the weightsof its tiles

y1 y2 y3 y4 y5

x1

x2

x3

x4

x5

wt(P) =

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Another Schubert formula

Theorem (Lam-Lee-Shimozono 2018 Lascoux 2002 Weigandt2020)

The double Schubert polynomial Sw (x y) is the partition function

Sw (x y) =983131

PisinBPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

First conjecture

Conjecture (Hamaker-P-Weigandt 2020)

If in≺d(Xw ) is reduced then

in≺d(Xw ) =

983134

PisinBPD(w)

C(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

True for vexillary permutations

A permutation is vexillary if it avoids the pattern 2143

Theorem (Knutson-Miller-Yong 2009)

With respect to a diagonal term order the lsquoobviousrsquo definingequations for I (Xw ) are a Grobner basis hArr w is vexillary

Theorem (Knutson-Miller-Yong 2009 Weigandt 2020)

The conjecture holds for w vexillary

2 2

3

1 2

3

1 2

2

1 1

3

1 1

2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Different generators

Take the lsquoobviousrsquo defining equations for I (Xw ) Some ofthem may be single variables zij Throw away all other termsthat contain them These are the CDG generators(Conca-De Negri-Gorla 2015)

A permutation is predominant if its Lehmer code is of theform λ0mℓ for some partition λ and m ℓ isin N

Theorem (Hamaker-P-Weigandt 2020)

If w is predominant then in≺d(Xw ) is reduced and CDG and the

main conjecture holds for w

w = 42153

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

CDG permutations

Theorem (Conj Hamaker-P-Weigandt 2020 Proved Klein 2020)

With respect to any diagonal term order the CDG generators forI (Xw ) are Grobner hArr w avoids the eight patterns 13254 21543214635 215364 241635 315264 215634 4261735 in S7

Corollary (Hamaker-P-Weigandt 2020 Klein 2020)

If Sw is a multiplicity-free sum of monomials then the CDGgenerators for I (Xw ) are diagonal Grobner

Proof

By comparing with the pattern conditions for multiplicity-freenessof Fink-Meszaros-St Dizier (2020)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Non-reduced degenerations

Given a scheme X and a reduced irreducible variety Y writemultY (X ) for the multiplicity of X along Y

Equivariant cohomology satisfies

HDtimesD(X ) =983131

j

multXj(X )HDtimesD(Xj)

where the sum is over the top-dimensional components of X

Example X = Spec(C[x y ]〈x2y〉) Then multx-axis(X ) = 1 andmulty-axis(X ) = 2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 26: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

Another Schubert formula

Theorem (Lam-Lee-Shimozono 2018 Lascoux 2002 Weigandt2020)

The double Schubert polynomial Sw (x y) is the partition function

Sw (x y) =983131

PisinBPD(w)

wt(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

First conjecture

Conjecture (Hamaker-P-Weigandt 2020)

If in≺d(Xw ) is reduced then

in≺d(Xw ) =

983134

PisinBPD(w)

C(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

True for vexillary permutations

A permutation is vexillary if it avoids the pattern 2143

Theorem (Knutson-Miller-Yong 2009)

With respect to a diagonal term order the lsquoobviousrsquo definingequations for I (Xw ) are a Grobner basis hArr w is vexillary

Theorem (Knutson-Miller-Yong 2009 Weigandt 2020)

The conjecture holds for w vexillary

2 2

3

1 2

3

1 2

2

1 1

3

1 1

2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Different generators

Take the lsquoobviousrsquo defining equations for I (Xw ) Some ofthem may be single variables zij Throw away all other termsthat contain them These are the CDG generators(Conca-De Negri-Gorla 2015)

A permutation is predominant if its Lehmer code is of theform λ0mℓ for some partition λ and m ℓ isin N

Theorem (Hamaker-P-Weigandt 2020)

If w is predominant then in≺d(Xw ) is reduced and CDG and the

main conjecture holds for w

w = 42153

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

CDG permutations

Theorem (Conj Hamaker-P-Weigandt 2020 Proved Klein 2020)

With respect to any diagonal term order the CDG generators forI (Xw ) are Grobner hArr w avoids the eight patterns 13254 21543214635 215364 241635 315264 215634 4261735 in S7

Corollary (Hamaker-P-Weigandt 2020 Klein 2020)

If Sw is a multiplicity-free sum of monomials then the CDGgenerators for I (Xw ) are diagonal Grobner

Proof

By comparing with the pattern conditions for multiplicity-freenessof Fink-Meszaros-St Dizier (2020)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Non-reduced degenerations

Given a scheme X and a reduced irreducible variety Y writemultY (X ) for the multiplicity of X along Y

Equivariant cohomology satisfies

HDtimesD(X ) =983131

j

multXj(X )HDtimesD(Xj)

where the sum is over the top-dimensional components of X

Example X = Spec(C[x y ]〈x2y〉) Then multx-axis(X ) = 1 andmulty-axis(X ) = 2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 27: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

First conjecture

Conjecture (Hamaker-P-Weigandt 2020)

If in≺d(Xw ) is reduced then

in≺d(Xw ) =

983134

PisinBPD(w)

C(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

True for vexillary permutations

A permutation is vexillary if it avoids the pattern 2143

Theorem (Knutson-Miller-Yong 2009)

With respect to a diagonal term order the lsquoobviousrsquo definingequations for I (Xw ) are a Grobner basis hArr w is vexillary

Theorem (Knutson-Miller-Yong 2009 Weigandt 2020)

The conjecture holds for w vexillary

2 2

3

1 2

3

1 2

2

1 1

3

1 1

2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Different generators

Take the lsquoobviousrsquo defining equations for I (Xw ) Some ofthem may be single variables zij Throw away all other termsthat contain them These are the CDG generators(Conca-De Negri-Gorla 2015)

A permutation is predominant if its Lehmer code is of theform λ0mℓ for some partition λ and m ℓ isin N

Theorem (Hamaker-P-Weigandt 2020)

If w is predominant then in≺d(Xw ) is reduced and CDG and the

main conjecture holds for w

w = 42153

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

CDG permutations

Theorem (Conj Hamaker-P-Weigandt 2020 Proved Klein 2020)

With respect to any diagonal term order the CDG generators forI (Xw ) are Grobner hArr w avoids the eight patterns 13254 21543214635 215364 241635 315264 215634 4261735 in S7

Corollary (Hamaker-P-Weigandt 2020 Klein 2020)

If Sw is a multiplicity-free sum of monomials then the CDGgenerators for I (Xw ) are diagonal Grobner

Proof

By comparing with the pattern conditions for multiplicity-freenessof Fink-Meszaros-St Dizier (2020)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Non-reduced degenerations

Given a scheme X and a reduced irreducible variety Y writemultY (X ) for the multiplicity of X along Y

Equivariant cohomology satisfies

HDtimesD(X ) =983131

j

multXj(X )HDtimesD(Xj)

where the sum is over the top-dimensional components of X

Example X = Spec(C[x y ]〈x2y〉) Then multx-axis(X ) = 1 andmulty-axis(X ) = 2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 28: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

Example

S2143 = (x1minus y1)(x3minus y3)+ (x1minus y1)(x2minus y1)+ (x1minus y1)(x1minus y2)

S2143 = (x1minus y1)(x3minus y1)+ (x1minus y1)(x2minus y2)+ (x1minus y1)(x1minus y3)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

First conjecture

Conjecture (Hamaker-P-Weigandt 2020)

If in≺d(Xw ) is reduced then

in≺d(Xw ) =

983134

PisinBPD(w)

C(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

True for vexillary permutations

A permutation is vexillary if it avoids the pattern 2143

Theorem (Knutson-Miller-Yong 2009)

With respect to a diagonal term order the lsquoobviousrsquo definingequations for I (Xw ) are a Grobner basis hArr w is vexillary

Theorem (Knutson-Miller-Yong 2009 Weigandt 2020)

The conjecture holds for w vexillary

2 2

3

1 2

3

1 2

2

1 1

3

1 1

2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Different generators

Take the lsquoobviousrsquo defining equations for I (Xw ) Some ofthem may be single variables zij Throw away all other termsthat contain them These are the CDG generators(Conca-De Negri-Gorla 2015)

A permutation is predominant if its Lehmer code is of theform λ0mℓ for some partition λ and m ℓ isin N

Theorem (Hamaker-P-Weigandt 2020)

If w is predominant then in≺d(Xw ) is reduced and CDG and the

main conjecture holds for w

w = 42153

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

CDG permutations

Theorem (Conj Hamaker-P-Weigandt 2020 Proved Klein 2020)

With respect to any diagonal term order the CDG generators forI (Xw ) are Grobner hArr w avoids the eight patterns 13254 21543214635 215364 241635 315264 215634 4261735 in S7

Corollary (Hamaker-P-Weigandt 2020 Klein 2020)

If Sw is a multiplicity-free sum of monomials then the CDGgenerators for I (Xw ) are diagonal Grobner

Proof

By comparing with the pattern conditions for multiplicity-freenessof Fink-Meszaros-St Dizier (2020)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Non-reduced degenerations

Given a scheme X and a reduced irreducible variety Y writemultY (X ) for the multiplicity of X along Y

Equivariant cohomology satisfies

HDtimesD(X ) =983131

j

multXj(X )HDtimesD(Xj)

where the sum is over the top-dimensional components of X

Example X = Spec(C[x y ]〈x2y〉) Then multx-axis(X ) = 1 andmulty-axis(X ) = 2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 29: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

First conjecture

Conjecture (Hamaker-P-Weigandt 2020)

If in≺d(Xw ) is reduced then

in≺d(Xw ) =

983134

PisinBPD(w)

C(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

True for vexillary permutations

A permutation is vexillary if it avoids the pattern 2143

Theorem (Knutson-Miller-Yong 2009)

With respect to a diagonal term order the lsquoobviousrsquo definingequations for I (Xw ) are a Grobner basis hArr w is vexillary

Theorem (Knutson-Miller-Yong 2009 Weigandt 2020)

The conjecture holds for w vexillary

2 2

3

1 2

3

1 2

2

1 1

3

1 1

2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Different generators

Take the lsquoobviousrsquo defining equations for I (Xw ) Some ofthem may be single variables zij Throw away all other termsthat contain them These are the CDG generators(Conca-De Negri-Gorla 2015)

A permutation is predominant if its Lehmer code is of theform λ0mℓ for some partition λ and m ℓ isin N

Theorem (Hamaker-P-Weigandt 2020)

If w is predominant then in≺d(Xw ) is reduced and CDG and the

main conjecture holds for w

w = 42153

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

CDG permutations

Theorem (Conj Hamaker-P-Weigandt 2020 Proved Klein 2020)

With respect to any diagonal term order the CDG generators forI (Xw ) are Grobner hArr w avoids the eight patterns 13254 21543214635 215364 241635 315264 215634 4261735 in S7

Corollary (Hamaker-P-Weigandt 2020 Klein 2020)

If Sw is a multiplicity-free sum of monomials then the CDGgenerators for I (Xw ) are diagonal Grobner

Proof

By comparing with the pattern conditions for multiplicity-freenessof Fink-Meszaros-St Dizier (2020)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Non-reduced degenerations

Given a scheme X and a reduced irreducible variety Y writemultY (X ) for the multiplicity of X along Y

Equivariant cohomology satisfies

HDtimesD(X ) =983131

j

multXj(X )HDtimesD(Xj)

where the sum is over the top-dimensional components of X

Example X = Spec(C[x y ]〈x2y〉) Then multx-axis(X ) = 1 andmulty-axis(X ) = 2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 30: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

A different degeneration

Take the Schubert determinantal ideal

I (X2143) =

983085z11

983055983055983055983055983055983055

z11 z12 z13z21 z22 z23z31 z32 z33

983055983055983055983055983055983055

983086

and degenerate with respect to a diagonal term order

in≺d(I2143) = 〈z11 z12z21z33〉 = 〈z11 z33〉 cap 〈z11 z21〉 cap 〈z11 z12〉

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

First conjecture

Conjecture (Hamaker-P-Weigandt 2020)

If in≺d(Xw ) is reduced then

in≺d(Xw ) =

983134

PisinBPD(w)

C(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

True for vexillary permutations

A permutation is vexillary if it avoids the pattern 2143

Theorem (Knutson-Miller-Yong 2009)

With respect to a diagonal term order the lsquoobviousrsquo definingequations for I (Xw ) are a Grobner basis hArr w is vexillary

Theorem (Knutson-Miller-Yong 2009 Weigandt 2020)

The conjecture holds for w vexillary

2 2

3

1 2

3

1 2

2

1 1

3

1 1

2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Different generators

Take the lsquoobviousrsquo defining equations for I (Xw ) Some ofthem may be single variables zij Throw away all other termsthat contain them These are the CDG generators(Conca-De Negri-Gorla 2015)

A permutation is predominant if its Lehmer code is of theform λ0mℓ for some partition λ and m ℓ isin N

Theorem (Hamaker-P-Weigandt 2020)

If w is predominant then in≺d(Xw ) is reduced and CDG and the

main conjecture holds for w

w = 42153

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

CDG permutations

Theorem (Conj Hamaker-P-Weigandt 2020 Proved Klein 2020)

With respect to any diagonal term order the CDG generators forI (Xw ) are Grobner hArr w avoids the eight patterns 13254 21543214635 215364 241635 315264 215634 4261735 in S7

Corollary (Hamaker-P-Weigandt 2020 Klein 2020)

If Sw is a multiplicity-free sum of monomials then the CDGgenerators for I (Xw ) are diagonal Grobner

Proof

By comparing with the pattern conditions for multiplicity-freenessof Fink-Meszaros-St Dizier (2020)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Non-reduced degenerations

Given a scheme X and a reduced irreducible variety Y writemultY (X ) for the multiplicity of X along Y

Equivariant cohomology satisfies

HDtimesD(X ) =983131

j

multXj(X )HDtimesD(Xj)

where the sum is over the top-dimensional components of X

Example X = Spec(C[x y ]〈x2y〉) Then multx-axis(X ) = 1 andmulty-axis(X ) = 2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 31: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

First conjecture

Conjecture (Hamaker-P-Weigandt 2020)

If in≺d(Xw ) is reduced then

in≺d(Xw ) =

983134

PisinBPD(w)

C(P)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

True for vexillary permutations

A permutation is vexillary if it avoids the pattern 2143

Theorem (Knutson-Miller-Yong 2009)

With respect to a diagonal term order the lsquoobviousrsquo definingequations for I (Xw ) are a Grobner basis hArr w is vexillary

Theorem (Knutson-Miller-Yong 2009 Weigandt 2020)

The conjecture holds for w vexillary

2 2

3

1 2

3

1 2

2

1 1

3

1 1

2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Different generators

Take the lsquoobviousrsquo defining equations for I (Xw ) Some ofthem may be single variables zij Throw away all other termsthat contain them These are the CDG generators(Conca-De Negri-Gorla 2015)

A permutation is predominant if its Lehmer code is of theform λ0mℓ for some partition λ and m ℓ isin N

Theorem (Hamaker-P-Weigandt 2020)

If w is predominant then in≺d(Xw ) is reduced and CDG and the

main conjecture holds for w

w = 42153

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

CDG permutations

Theorem (Conj Hamaker-P-Weigandt 2020 Proved Klein 2020)

With respect to any diagonal term order the CDG generators forI (Xw ) are Grobner hArr w avoids the eight patterns 13254 21543214635 215364 241635 315264 215634 4261735 in S7

Corollary (Hamaker-P-Weigandt 2020 Klein 2020)

If Sw is a multiplicity-free sum of monomials then the CDGgenerators for I (Xw ) are diagonal Grobner

Proof

By comparing with the pattern conditions for multiplicity-freenessof Fink-Meszaros-St Dizier (2020)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Non-reduced degenerations

Given a scheme X and a reduced irreducible variety Y writemultY (X ) for the multiplicity of X along Y

Equivariant cohomology satisfies

HDtimesD(X ) =983131

j

multXj(X )HDtimesD(Xj)

where the sum is over the top-dimensional components of X

Example X = Spec(C[x y ]〈x2y〉) Then multx-axis(X ) = 1 andmulty-axis(X ) = 2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 32: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

True for vexillary permutations

A permutation is vexillary if it avoids the pattern 2143

Theorem (Knutson-Miller-Yong 2009)

With respect to a diagonal term order the lsquoobviousrsquo definingequations for I (Xw ) are a Grobner basis hArr w is vexillary

Theorem (Knutson-Miller-Yong 2009 Weigandt 2020)

The conjecture holds for w vexillary

2 2

3

1 2

3

1 2

2

1 1

3

1 1

2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Different generators

Take the lsquoobviousrsquo defining equations for I (Xw ) Some ofthem may be single variables zij Throw away all other termsthat contain them These are the CDG generators(Conca-De Negri-Gorla 2015)

A permutation is predominant if its Lehmer code is of theform λ0mℓ for some partition λ and m ℓ isin N

Theorem (Hamaker-P-Weigandt 2020)

If w is predominant then in≺d(Xw ) is reduced and CDG and the

main conjecture holds for w

w = 42153

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

CDG permutations

Theorem (Conj Hamaker-P-Weigandt 2020 Proved Klein 2020)

With respect to any diagonal term order the CDG generators forI (Xw ) are Grobner hArr w avoids the eight patterns 13254 21543214635 215364 241635 315264 215634 4261735 in S7

Corollary (Hamaker-P-Weigandt 2020 Klein 2020)

If Sw is a multiplicity-free sum of monomials then the CDGgenerators for I (Xw ) are diagonal Grobner

Proof

By comparing with the pattern conditions for multiplicity-freenessof Fink-Meszaros-St Dizier (2020)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Non-reduced degenerations

Given a scheme X and a reduced irreducible variety Y writemultY (X ) for the multiplicity of X along Y

Equivariant cohomology satisfies

HDtimesD(X ) =983131

j

multXj(X )HDtimesD(Xj)

where the sum is over the top-dimensional components of X

Example X = Spec(C[x y ]〈x2y〉) Then multx-axis(X ) = 1 andmulty-axis(X ) = 2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 33: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

Different generators

Take the lsquoobviousrsquo defining equations for I (Xw ) Some ofthem may be single variables zij Throw away all other termsthat contain them These are the CDG generators(Conca-De Negri-Gorla 2015)

A permutation is predominant if its Lehmer code is of theform λ0mℓ for some partition λ and m ℓ isin N

Theorem (Hamaker-P-Weigandt 2020)

If w is predominant then in≺d(Xw ) is reduced and CDG and the

main conjecture holds for w

w = 42153

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

CDG permutations

Theorem (Conj Hamaker-P-Weigandt 2020 Proved Klein 2020)

With respect to any diagonal term order the CDG generators forI (Xw ) are Grobner hArr w avoids the eight patterns 13254 21543214635 215364 241635 315264 215634 4261735 in S7

Corollary (Hamaker-P-Weigandt 2020 Klein 2020)

If Sw is a multiplicity-free sum of monomials then the CDGgenerators for I (Xw ) are diagonal Grobner

Proof

By comparing with the pattern conditions for multiplicity-freenessof Fink-Meszaros-St Dizier (2020)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Non-reduced degenerations

Given a scheme X and a reduced irreducible variety Y writemultY (X ) for the multiplicity of X along Y

Equivariant cohomology satisfies

HDtimesD(X ) =983131

j

multXj(X )HDtimesD(Xj)

where the sum is over the top-dimensional components of X

Example X = Spec(C[x y ]〈x2y〉) Then multx-axis(X ) = 1 andmulty-axis(X ) = 2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 34: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

CDG permutations

Theorem (Conj Hamaker-P-Weigandt 2020 Proved Klein 2020)

With respect to any diagonal term order the CDG generators forI (Xw ) are Grobner hArr w avoids the eight patterns 13254 21543214635 215364 241635 315264 215634 4261735 in S7

Corollary (Hamaker-P-Weigandt 2020 Klein 2020)

If Sw is a multiplicity-free sum of monomials then the CDGgenerators for I (Xw ) are diagonal Grobner

Proof

By comparing with the pattern conditions for multiplicity-freenessof Fink-Meszaros-St Dizier (2020)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Non-reduced degenerations

Given a scheme X and a reduced irreducible variety Y writemultY (X ) for the multiplicity of X along Y

Equivariant cohomology satisfies

HDtimesD(X ) =983131

j

multXj(X )HDtimesD(Xj)

where the sum is over the top-dimensional components of X

Example X = Spec(C[x y ]〈x2y〉) Then multx-axis(X ) = 1 andmulty-axis(X ) = 2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 35: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

Non-reduced degenerations

Given a scheme X and a reduced irreducible variety Y writemultY (X ) for the multiplicity of X along Y

Equivariant cohomology satisfies

HDtimesD(X ) =983131

j

multXj(X )HDtimesD(Xj)

where the sum is over the top-dimensional components of X

Example X = Spec(C[x y ]〈x2y〉) Then multx-axis(X ) = 1 andmulty-axis(X ) = 2

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 36: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 37: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

Duplicitous permutations

Write Dup(n) for the set of permutations in Sn which havemultiple BPDs with the same tiles

Dup(6) = 214365 321654

Computations of Heck-Weigandt suggest this phenomenon is alsogoverned by pattern avoidance but we donrsquot know all the patterns(includes the Billey-Pawlowski (2014) multiplicity-free patterns)

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 38: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

The full conjecture

Conjecture (Hamaker-P-Weigandt 2020)

For all (set-theoretic) components CB of in≺d(Xw )

multCB(in≺d

(Xw )) = P isin BPD(w) (P) = B

So bumpless pipe dreams for w with multiplicity correspond tocomponents of the diagonal Grobner degeneration in≺d

(Xw ) withmultiplicity

Oliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice

Page 39: Gr¨obner geometry of Schubert polynomials through icegalashin/seminar/Oliver_Ice.pdfGr¨obner geometry of Schubert polynomials through ice Oliver Pechenik University of Waterloo Combinatorics

Thanks

Thank youOliver Pechenik University of Waterloo Grobner geometry of Schubert polynomials through ice