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Algorithmic and asymptotic properties of groups Mark Sapir

Algorithmic and asymptotic properties of groups

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Page 1: Algorithmic and asymptotic properties of groups

Algorithmic and asymptotic properties of groups

Mark Sapir

Page 2: Algorithmic and asymptotic properties of groups

Group presentations

The object of our study - finitely generated groups given bypresentations 〈a1, ..., an | r1, r2, ...〉,

Page 3: Algorithmic and asymptotic properties of groups

Group presentations

The object of our study - finitely generated groups given bypresentations 〈a1, ..., an | r1, r2, ...〉, where ri is a word in a1, ..., an.

Page 4: Algorithmic and asymptotic properties of groups

Group presentations

The object of our study - finitely generated groups given bypresentations 〈a1, ..., an | r1, r2, ...〉, where ri is a word in a1, ..., an.That is groups generated by a1, ..., an

Page 5: Algorithmic and asymptotic properties of groups

Group presentations

The object of our study - finitely generated groups given bypresentations 〈a1, ..., an | r1, r2, ...〉, where ri is a word in a1, ..., an.That is groups generated by a1, ..., an with relationsr1 = 1, r2 = 1, ... imposed.

Page 6: Algorithmic and asymptotic properties of groups

Group presentations

The object of our study - finitely generated groups given bypresentations 〈a1, ..., an | r1, r2, ...〉, where ri is a word in a1, ..., an.That is groups generated by a1, ..., an with relationsr1 = 1, r2 = 1, ... imposed.

For example, the free Burnside group of exponent n with twogenerators is given by the presentation

Page 7: Algorithmic and asymptotic properties of groups

Group presentations

The object of our study - finitely generated groups given bypresentations 〈a1, ..., an | r1, r2, ...〉, where ri is a word in a1, ..., an.That is groups generated by a1, ..., an with relationsr1 = 1, r2 = 1, ... imposed.

For example, the free Burnside group of exponent n with twogenerators is given by the presentation

〈a, b | un = 1〉

for all words u in the alphabet a, b.

Page 8: Algorithmic and asymptotic properties of groups

Group presentations

The object of our study - finitely generated groups given bypresentations 〈a1, ..., an | r1, r2, ...〉, where ri is a word in a1, ..., an.That is groups generated by a1, ..., an with relationsr1 = 1, r2 = 1, ... imposed.

For example, the free Burnside group of exponent n with twogenerators is given by the presentation

〈a, b | un = 1〉

for all words u in the alphabet a, b.

The fundamental group of the orientable surface of genus n isgiven by the presentation

Page 9: Algorithmic and asymptotic properties of groups

Group presentations

The object of our study - finitely generated groups given bypresentations 〈a1, ..., an | r1, r2, ...〉, where ri is a word in a1, ..., an.That is groups generated by a1, ..., an with relationsr1 = 1, r2 = 1, ... imposed.

For example, the free Burnside group of exponent n with twogenerators is given by the presentation

〈a, b | un = 1〉

for all words u in the alphabet a, b.

The fundamental group of the orientable surface of genus n isgiven by the presentation

〈a1, b1, ..., an, bn | [a1, b1]...[an, bn] = 1〉.

Page 10: Algorithmic and asymptotic properties of groups

Classical results

Theorem. (Boone-Novikov’s solution of Dehn’s problem)

Page 11: Algorithmic and asymptotic properties of groups

Classical results

Theorem. (Boone-Novikov’s solution of Dehn’s problem) Thereexists a finitely presented group with undecidable word problem.

Page 12: Algorithmic and asymptotic properties of groups

Classical results

Theorem. (Boone-Novikov’s solution of Dehn’s problem) Thereexists a finitely presented group with undecidable word problem.

Theorem. (Higman)

Page 13: Algorithmic and asymptotic properties of groups

Classical results

Theorem. (Boone-Novikov’s solution of Dehn’s problem) Thereexists a finitely presented group with undecidable word problem.

Theorem. (Higman) A group has r.e. word problem iff

Page 14: Algorithmic and asymptotic properties of groups

Classical results

Theorem. (Boone-Novikov’s solution of Dehn’s problem) Thereexists a finitely presented group with undecidable word problem.

Theorem. (Higman) A group has r.e. word problem iff it is asubgroup of a f.p. group.

Page 15: Algorithmic and asymptotic properties of groups

Classical results

Theorem. (Boone-Novikov’s solution of Dehn’s problem) Thereexists a finitely presented group with undecidable word problem.

Theorem. (Higman) A group has r.e. word problem iff it is asubgroup of a f.p. group.

Theorem. (Adian-Novikov’s solution of Burnside problem)

Page 16: Algorithmic and asymptotic properties of groups

Classical results

Theorem. (Boone-Novikov’s solution of Dehn’s problem) Thereexists a finitely presented group with undecidable word problem.

Theorem. (Higman) A group has r.e. word problem iff it is asubgroup of a f.p. group.

Theorem. (Adian-Novikov’s solution of Burnside problem) Thefree Burnside group of exponent n with at least two generators

Page 17: Algorithmic and asymptotic properties of groups

Classical results

Theorem. (Boone-Novikov’s solution of Dehn’s problem) Thereexists a finitely presented group with undecidable word problem.

Theorem. (Higman) A group has r.e. word problem iff it is asubgroup of a f.p. group.

Theorem. (Adian-Novikov’s solution of Burnside problem) Thefree Burnside group of exponent n with at least two generators isinfinite for large enough odd n.

Page 18: Algorithmic and asymptotic properties of groups

Classical results

Theorem. (Boone-Novikov’s solution of Dehn’s problem) Thereexists a finitely presented group with undecidable word problem.

Theorem. (Higman) A group has r.e. word problem iff it is asubgroup of a f.p. group.

Theorem. (Adian-Novikov’s solution of Burnside problem) Thefree Burnside group of exponent n with at least two generators isinfinite for large enough odd n.

Theorem. (Olshanskii’s solution of Tarski’s and von Neumann’sproblems)

Page 19: Algorithmic and asymptotic properties of groups

Classical results

Theorem. (Boone-Novikov’s solution of Dehn’s problem) Thereexists a finitely presented group with undecidable word problem.

Theorem. (Higman) A group has r.e. word problem iff it is asubgroup of a f.p. group.

Theorem. (Adian-Novikov’s solution of Burnside problem) Thefree Burnside group of exponent n with at least two generators isinfinite for large enough odd n.

Theorem. (Olshanskii’s solution of Tarski’s and von Neumann’sproblems) There exists a non-Amenable group

Page 20: Algorithmic and asymptotic properties of groups

Classical results

Theorem. (Boone-Novikov’s solution of Dehn’s problem) Thereexists a finitely presented group with undecidable word problem.

Theorem. (Higman) A group has r.e. word problem iff it is asubgroup of a f.p. group.

Theorem. (Adian-Novikov’s solution of Burnside problem) Thefree Burnside group of exponent n with at least two generators isinfinite for large enough odd n.

Theorem. (Olshanskii’s solution of Tarski’s and von Neumann’sproblems) There exists a non-Amenable group with all propersubgroups cyclic of the same prime order.

Page 21: Algorithmic and asymptotic properties of groups

Classical results

Theorem. (Boone-Novikov’s solution of Dehn’s problem) Thereexists a finitely presented group with undecidable word problem.

Theorem. (Higman) A group has r.e. word problem iff it is asubgroup of a f.p. group.

Theorem. (Adian-Novikov’s solution of Burnside problem) Thefree Burnside group of exponent n with at least two generators isinfinite for large enough odd n.

Theorem. (Olshanskii’s solution of Tarski’s and von Neumann’sproblems) There exists a non-Amenable group with all propersubgroups cyclic of the same prime order.

Theorem. (Gromov’s solution of Milnor’s problem)

Page 22: Algorithmic and asymptotic properties of groups

Classical results

Theorem. (Boone-Novikov’s solution of Dehn’s problem) Thereexists a finitely presented group with undecidable word problem.

Theorem. (Higman) A group has r.e. word problem iff it is asubgroup of a f.p. group.

Theorem. (Adian-Novikov’s solution of Burnside problem) Thefree Burnside group of exponent n with at least two generators isinfinite for large enough odd n.

Theorem. (Olshanskii’s solution of Tarski’s and von Neumann’sproblems) There exists a non-Amenable group with all propersubgroups cyclic of the same prime order.

Theorem. (Gromov’s solution of Milnor’s problem) Any group ofpolynomial growth

Page 23: Algorithmic and asymptotic properties of groups

Classical results

Theorem. (Boone-Novikov’s solution of Dehn’s problem) Thereexists a finitely presented group with undecidable word problem.

Theorem. (Higman) A group has r.e. word problem iff it is asubgroup of a f.p. group.

Theorem. (Adian-Novikov’s solution of Burnside problem) Thefree Burnside group of exponent n with at least two generators isinfinite for large enough odd n.

Theorem. (Olshanskii’s solution of Tarski’s and von Neumann’sproblems) There exists a non-Amenable group with all propersubgroups cyclic of the same prime order.

Theorem. (Gromov’s solution of Milnor’s problem) Any group ofpolynomial growth has a nilpotent subgroup of finite index.

Page 24: Algorithmic and asymptotic properties of groups

Groups turning into machines

Groups −→

Page 25: Algorithmic and asymptotic properties of groups

Groups turning into machines

Groups −→Machines −→

Page 26: Algorithmic and asymptotic properties of groups

Groups turning into machines

Groups −→Machines −→Groups

Page 27: Algorithmic and asymptotic properties of groups

Miller machineLet G = 〈X | R〉 be an f.p. group.

Page 28: Algorithmic and asymptotic properties of groups

Miller machineLet G = 〈X | R〉 be an f.p. group.

Consider a new group MG .

Page 29: Algorithmic and asymptotic properties of groups

Miller machineLet G = 〈X | R〉 be an f.p. group.

Consider a new group MG . The generators: tape letters X , stateletter q, command letters θx , θr , x ∈ X , r ∈ R.

Page 30: Algorithmic and asymptotic properties of groups

Miller machineLet G = 〈X | R〉 be an f.p. group.

Consider a new group MG . The generators: tape letters X , stateletter q, command letters θx , θr , x ∈ X , r ∈ R.

The defining relations:

Page 31: Algorithmic and asymptotic properties of groups

Miller machineLet G = 〈X | R〉 be an f.p. group.

Consider a new group MG . The generators: tape letters X , stateletter q, command letters θx , θr , x ∈ X , r ∈ R.

The defining relations:

qxθx = θxxq, qθr = θrqr , xθ = θx

Page 32: Algorithmic and asymptotic properties of groups

Miller machineLet G = 〈X | R〉 be an f.p. group.

Consider a new group MG . The generators: tape letters X , stateletter q, command letters θx , θr , x ∈ X , r ∈ R.

The defining relations:

qxθx = θxxq, qθr = θrqr , xθ = θx

We can draw these relations as follows.

Page 33: Algorithmic and asymptotic properties of groups

Miller machineLet G = 〈X | R〉 be an f.p. group.

Consider a new group MG . The generators: tape letters X , stateletter q, command letters θx , θr , x ∈ X , r ∈ R.

The defining relations:

qxθx = θxxq, qθr = θrqr , xθ = θx

We can draw these relations as follows.

6

- -

- -6

s s s

rss -µ6

-

r r

r r r

6

r p

p r

x

x q

θxθx θr θr

q

q r

6

x

x

θ θ

q

-

-

Page 34: Algorithmic and asymptotic properties of groups

Why is it a machine?Let us show that this is a machine

Page 35: Algorithmic and asymptotic properties of groups

Why is it a machine?Let us show that this is a machine checking whether a word isequal to 1 in G

Page 36: Algorithmic and asymptotic properties of groups

Why is it a machine?Let us show that this is a machine checking whether a word isequal to 1 in G

Start with any word uqv = y ...xq...z

Page 37: Algorithmic and asymptotic properties of groups

Why is it a machine?Let us show that this is a machine checking whether a word isequal to 1 in G

Start with any word uqv = y ...xq...z where uv = 1 in G

Page 38: Algorithmic and asymptotic properties of groups

Why is it a machine?Let us show that this is a machine checking whether a word isequal to 1 in G

Start with any word uqv = y ...xq...z where uv = 1 in G

. . . . . .xqy z

Figure: Deduction uqv → ... → q if uv = 1 in G . Here u = y ...x ,v = ...z .

Page 39: Algorithmic and asymptotic properties of groups

Why is it a machine?Let us show that this is a machine checking whether a word isequal to 1 in G

Start with any word uqv = y ...xq...z where uv = 1 in G

. . . . . .xq

qx

y zθx

θx-

-? ?

Figure: Deduction uqv → ... → q if uv = 1 in G . Here u = y ...x ,v = ...z .

Page 40: Algorithmic and asymptotic properties of groups

Why is it a machine?Let us show that this is a machine checking whether a word isequal to 1 in G

Start with any word uqv = y ...xq...z where uv = 1 in G

. . . . . .xq

qx

y

y z

zθx

θx-

-? ?

Figure: Deduction uqv → ... → q if uv = 1 in G . Here u = y ...x ,v = ...z .

Page 41: Algorithmic and asymptotic properties of groups

Why is it a machine?Let us show that this is a machine checking whether a word isequal to 1 in G

Start with any word uqv = y ...xq...z where uv = 1 in G

. . . . . .xq

qx

y

y z

zθx

θx-

-? ?

Àθrθr

xqr

Figure: Deduction uqv → ... → q if uv = 1 in G . Here u = y ...x ,v = ...z .

Page 42: Algorithmic and asymptotic properties of groups

Why is it a machine?Let us show that this is a machine checking whether a word isequal to 1 in G

Start with any word uqv = y ...xq...z where uv = 1 in G

. . . . . .xq

qx

y

y z

zθx

θx-

-? ?

Àθrθr

y x zqr

Figure: Deduction uqv → ... → q if uv = 1 in G . Here u = y ...x ,v = ...z .

Page 43: Algorithmic and asymptotic properties of groups

Why is it a machine?Let us show that this is a machine checking whether a word isequal to 1 in G

Start with any word uqv = y ...xq...z where uv = 1 in G

. . . . . .xq

qx

y

y z

zθx

θx-

-? ?

Àθrθr

y x zqr

. . .

. . .

-q

3 k

Figure: Deduction uqv → ... → q if uv = 1 in G . Here u = y ...x ,v = ...z .

Page 44: Algorithmic and asymptotic properties of groups

Why is it a machine?Let us show that this is a machine checking whether a word isequal to 1 in G

Start with any word uqv = y ...xq...z where uv = 1 in G

. . . . . .xq

qx

y

y z

zθx

θx-

-? ?

Àθrθr

y x zqr

. . .

. . .

-q

3 k

Figure: Deduction uqv → ... → q if uv = 1 in G . Here u = y ...x ,v = ...z .

Theorem.(Miller)

Page 45: Algorithmic and asymptotic properties of groups

Why is it a machine?Let us show that this is a machine checking whether a word isequal to 1 in G

Start with any word uqv = y ...xq...z where uv = 1 in G

. . . . . .xq

qx

y

y z

zθx

θx-

-? ?

Àθrθr

y x zqr

. . .

. . .

-q

3 k

Figure: Deduction uqv → ... → q if uv = 1 in G . Here u = y ...x ,v = ...z .

Theorem.(Miller) The group MG has solvable conjugacy problemiff

Page 46: Algorithmic and asymptotic properties of groups

Why is it a machine?Let us show that this is a machine checking whether a word isequal to 1 in G

Start with any word uqv = y ...xq...z where uv = 1 in G

. . . . . .xq

qx

y

y z

zθx

θx-

-? ?

Àθrθr

y x zqr

. . .

. . .

-q

3 k

Figure: Deduction uqv → ... → q if uv = 1 in G . Here u = y ...x ,v = ...z .

Theorem.(Miller) The group MG has solvable conjugacy problemiff G has solvable word problem.

Page 47: Algorithmic and asymptotic properties of groups

S-machines

Now we define machines that are groups.

Page 48: Algorithmic and asymptotic properties of groups

S-machines

Now we define machines that are groups. Here is a definition of asimplest (1-tape, no semigroup part) version of S-machines.

Page 49: Algorithmic and asymptotic properties of groups

S-machines

Now we define machines that are groups. Here is a definition of asimplest (1-tape, no semigroup part) version of S-machines.

Definition. An S-machine is an HNN extension of a free group.

Page 50: Algorithmic and asymptotic properties of groups

S-machines

Now we define machines that are groups. Here is a definition of asimplest (1-tape, no semigroup part) version of S-machines.

Definition. An S-machine is an HNN extension of a free group.Generators: tape letters X ,

Page 51: Algorithmic and asymptotic properties of groups

S-machines

Now we define machines that are groups. Here is a definition of asimplest (1-tape, no semigroup part) version of S-machines.

Definition. An S-machine is an HNN extension of a free group.Generators: tape letters X , state letters Q,

Page 52: Algorithmic and asymptotic properties of groups

S-machines

Now we define machines that are groups. Here is a definition of asimplest (1-tape, no semigroup part) version of S-machines.

Definition. An S-machine is an HNN extension of a free group.Generators: tape letters X , state letters Q, command letters Θ.

Page 53: Algorithmic and asymptotic properties of groups

S-machines

Now we define machines that are groups. Here is a definition of asimplest (1-tape, no semigroup part) version of S-machines.

Definition. An S-machine is an HNN extension of a free group.Generators: tape letters X , state letters Q, command letters Θ.

Relations are of one of the forms:

Page 54: Algorithmic and asymptotic properties of groups

S-machines

Now we define machines that are groups. Here is a definition of asimplest (1-tape, no semigroup part) version of S-machines.

Definition. An S-machine is an HNN extension of a free group.Generators: tape letters X , state letters Q, command letters Θ.

Relations are of one of the forms:

p p p

p p

- - -

-

x q′

6 6

-

-

p p p

p p

θ θ

x

θ θI µ

q x

y

Page 55: Algorithmic and asymptotic properties of groups

S-machines

Now we define machines that are groups. Here is a definition of asimplest (1-tape, no semigroup part) version of S-machines.

Definition. An S-machine is an HNN extension of a free group.Generators: tape letters X , state letters Q, command letters Θ.

Relations are of one of the forms:

p p p

p p

- - -

-

x q′

6 6

-

-

p p p

p p

θ θ

x

θ θI µ

q x

y

The main idea: S-machines are much easier to use as buildingblocks of groups than Turing machines.

Page 56: Algorithmic and asymptotic properties of groups

Applications: Dehn functions of groups

Definition. (Madlener-Otto, Gersten, Gromov)

Page 57: Algorithmic and asymptotic properties of groups

Applications: Dehn functions of groups

Definition. (Madlener-Otto, Gersten, Gromov) LetG = 〈X | R〉 be a f.p. group,

Page 58: Algorithmic and asymptotic properties of groups

Applications: Dehn functions of groups

Definition. (Madlener-Otto, Gersten, Gromov) LetG = 〈X | R〉 be a f.p. group, w be a word in X , w = 1 in G .

Page 59: Algorithmic and asymptotic properties of groups

Applications: Dehn functions of groups

Definition. (Madlener-Otto, Gersten, Gromov) LetG = 〈X | R〉 be a f.p. group, w be a word in X , w = 1 in G . Thearea

Page 60: Algorithmic and asymptotic properties of groups

Applications: Dehn functions of groups

Definition. (Madlener-Otto, Gersten, Gromov) LetG = 〈X | R〉 be a f.p. group, w be a word in X , w = 1 in G . Thearea of w is the minimal number of cells in a van Kampen diagramwith boundary label w .

Page 61: Algorithmic and asymptotic properties of groups

Applications: Dehn functions of groups

Definition. (Madlener-Otto, Gersten, Gromov) LetG = 〈X | R〉 be a f.p. group, w be a word in X , w = 1 in G . Thearea of w is the minimal number of cells in a van Kampen diagramwith boundary label w . That is how long it takes to deduce theequality w = 1 from the defining relations.

Page 62: Algorithmic and asymptotic properties of groups

Applications: Dehn functions of groups

Definition. (Madlener-Otto, Gersten, Gromov) LetG = 〈X | R〉 be a f.p. group, w be a word in X , w = 1 in G . Thearea of w is the minimal number of cells in a van Kampen diagramwith boundary label w . That is how long it takes to deduce theequality w = 1 from the defining relations.

Definition. (Dehn function)

Page 63: Algorithmic and asymptotic properties of groups

Applications: Dehn functions of groups

Definition. (Madlener-Otto, Gersten, Gromov) LetG = 〈X | R〉 be a f.p. group, w be a word in X , w = 1 in G . Thearea of w is the minimal number of cells in a van Kampen diagramwith boundary label w . That is how long it takes to deduce theequality w = 1 from the defining relations.

Definition. (Dehn function) For any n ≥ 1 let d(n) be thelargest area of a word w of length at most n.

Page 64: Algorithmic and asymptotic properties of groups

Applications: Dehn functions of groups

Definition. (Madlener-Otto, Gersten, Gromov) LetG = 〈X | R〉 be a f.p. group, w be a word in X , w = 1 in G . Thearea of w is the minimal number of cells in a van Kampen diagramwith boundary label w . That is how long it takes to deduce theequality w = 1 from the defining relations.

Definition. (Dehn function) For any n ≥ 1 let d(n) be thelargest area of a word w of length at most n.

Example. Surface group The Dehn function is linear.

Page 65: Algorithmic and asymptotic properties of groups

Applications: Dehn functions of groups

Definition. (Madlener-Otto, Gersten, Gromov) LetG = 〈X | R〉 be a f.p. group, w be a word in X , w = 1 in G . Thearea of w is the minimal number of cells in a van Kampen diagramwith boundary label w . That is how long it takes to deduce theequality w = 1 from the defining relations.

Definition. (Dehn function) For any n ≥ 1 let d(n) be thelargest area of a word w of length at most n.

Example. Surface group The Dehn function is linear.

6

ºN

j

)

A typical diagram over the surface group presentation (genus > 1)

Page 66: Algorithmic and asymptotic properties of groups

Applications: Dehn functions of groups

Definition. (Madlener-Otto, Gersten, Gromov) LetG = 〈X | R〉 be a f.p. group, w be a word in X , w = 1 in G . Thearea of w is the minimal number of cells in a van Kampen diagramwith boundary label w . That is how long it takes to deduce theequality w = 1 from the defining relations.

Definition. (Dehn function) For any n ≥ 1 let d(n) be thelargest area of a word w of length at most n.

Example. Surface group The Dehn function is linear.

6

ºN

j

)

A typical diagram over the surface group presentation (genus > 1)Definition.

Page 67: Algorithmic and asymptotic properties of groups

Applications: Dehn functions of groups

Definition. (Madlener-Otto, Gersten, Gromov) LetG = 〈X | R〉 be a f.p. group, w be a word in X , w = 1 in G . Thearea of w is the minimal number of cells in a van Kampen diagramwith boundary label w . That is how long it takes to deduce theequality w = 1 from the defining relations.

Definition. (Dehn function) For any n ≥ 1 let d(n) be thelargest area of a word w of length at most n.

Example. Surface group The Dehn function is linear.

6

ºN

j

)

A typical diagram over the surface group presentation (genus > 1)Definition. A group is hyperbolic if its Dehn function is linear.

Page 68: Algorithmic and asymptotic properties of groups

Dehn functions

Example.

Page 69: Algorithmic and asymptotic properties of groups

Dehn functions

Example. The Dehn function of the Abelian group〈a, b | ab = ba〉

Page 70: Algorithmic and asymptotic properties of groups

Dehn functions

Example. The Dehn function of the Abelian group〈a, b | ab = ba〉 is quadratic:

Page 71: Algorithmic and asymptotic properties of groups

Dehn functions

Example. The Dehn function of the Abelian group〈a, b | ab = ba〉 is quadratic:

6

z

?

¾

b b b b

b b

b ba

a

a

a

a

a

a

a

b-band

a-band

Page 72: Algorithmic and asymptotic properties of groups

Dehn functions of S-machines

Observation. (Rips)

Page 73: Algorithmic and asymptotic properties of groups

Dehn functions of S-machines

Observation. (Rips) The Dehn function of any S-machine is atmost cubic.

Page 74: Algorithmic and asymptotic properties of groups

Dehn functions of S-machines

Observation. (Rips) The Dehn function of any S-machine is atmost cubic.

hi

story

histor

y

input

q

Area ∼ h2

r q

q q

. . .h

h

Page 75: Algorithmic and asymptotic properties of groups

Dehn functions of S-machines

Observation. (Rips) The Dehn function of any S-machine is atmost cubic.

hi

story

histor

y

input

q

Area ∼ h2

r q

q q

. . .h

h

Theorem. (Olshanskii, S.)

Page 76: Algorithmic and asymptotic properties of groups

Dehn functions of S-machines

Observation. (Rips) The Dehn function of any S-machine is atmost cubic.

hi

story

histor

y

input

q

Area ∼ h2

r q

q q

. . .h

h

Theorem. (Olshanskii, S.) There exists a f.p. group with Dehnfunction n2 log n

Page 77: Algorithmic and asymptotic properties of groups

Dehn functions of S-machines

Observation. (Rips) The Dehn function of any S-machine is atmost cubic.

hi

story

histor

y

input

q

Area ∼ h2

r q

q q

. . .h

h

Theorem. (Olshanskii, S.) There exists a f.p. group with Dehnfunction n2 log n and undecidable conjugacy problem.

Page 78: Algorithmic and asymptotic properties of groups

Dehn functions of S-machines

Observation. (Rips) The Dehn function of any S-machine is atmost cubic.

hi

story

histor

y

input

q

Area ∼ h2

r q

q q

. . .h

h

Theorem. (Olshanskii, S.) There exists a f.p. group with Dehnfunction n2 log n and undecidable conjugacy problem.

We use some (Vassiliev-type) invariants of chord diagrams

Page 79: Algorithmic and asymptotic properties of groups

Dehn functions of S-machines

Observation. (Rips) The Dehn function of any S-machine is atmost cubic.

hi

story

histor

y

input

q

Area ∼ h2

r q

q q

. . .h

h

Theorem. (Olshanskii, S.) There exists a f.p. group with Dehnfunction n2 log n and undecidable conjugacy problem.

We use some (Vassiliev-type) invariants of chord diagrams toobtain the upper bound.

Page 80: Algorithmic and asymptotic properties of groups

Corollaries about conjugacy problem

Conjecture.

Page 81: Algorithmic and asymptotic properties of groups

Corollaries about conjugacy problem

Conjecture. Every group with Dehn function <e n2 log n

Page 82: Algorithmic and asymptotic properties of groups

Corollaries about conjugacy problem

Conjecture. Every group with Dehn function <e n2 log n hassolvable conjugacy problem.

Page 83: Algorithmic and asymptotic properties of groups

Corollaries about conjugacy problem

Conjecture. Every group with Dehn function <e n2 log n hassolvable conjugacy problem.

O+S: proved for HNN extensions of free groups.

Page 84: Algorithmic and asymptotic properties of groups

Corollaries about conjugacy problem

Conjecture. Every group with Dehn function <e n2 log n hassolvable conjugacy problem.

O+S: proved for HNN extensions of free groups.

Together with a result of Bridson+Groves

Page 85: Algorithmic and asymptotic properties of groups

Corollaries about conjugacy problem

Conjecture. Every group with Dehn function <e n2 log n hassolvable conjugacy problem.

O+S: proved for HNN extensions of free groups.

Together with a result of Bridson+Groves gives a proof ofsolvability of conjugacy problem

Page 86: Algorithmic and asymptotic properties of groups

Corollaries about conjugacy problem

Conjecture. Every group with Dehn function <e n2 log n hassolvable conjugacy problem.

O+S: proved for HNN extensions of free groups.

Together with a result of Bridson+Groves gives a proof ofsolvability of conjugacy problem for cyclic extensions of free groups.

Page 87: Algorithmic and asymptotic properties of groups

Corollaries about conjugacy problem

Conjecture. Every group with Dehn function <e n2 log n hassolvable conjugacy problem.

O+S: proved for HNN extensions of free groups.

Together with a result of Bridson+Groves gives a proof ofsolvability of conjugacy problem for cyclic extensions of free groups.

An earlier proof: Bogopolski, Martino, Maslakova, Ventura.

Page 88: Algorithmic and asymptotic properties of groups

Bigger Dehn functions

Theorem. (Birget-S.)

Page 89: Algorithmic and asymptotic properties of groups

Bigger Dehn functions

Theorem. (Birget-S.) Every Dehn function of a f.p. group

Page 90: Algorithmic and asymptotic properties of groups

Bigger Dehn functions

Theorem. (Birget-S.) Every Dehn function of a f.p. group isequivalent to the time function of a non-deterministic Turingmachine.

Page 91: Algorithmic and asymptotic properties of groups

Bigger Dehn functions

Theorem. (Birget-S.) Every Dehn function of a f.p. group isequivalent to the time function of a non-deterministic Turingmachine.

Theorem. (S., Birget, Rips, Ann. of Math., 2002)

Page 92: Algorithmic and asymptotic properties of groups

Bigger Dehn functions

Theorem. (Birget-S.) Every Dehn function of a f.p. group isequivalent to the time function of a non-deterministic Turingmachine.

Theorem. (S., Birget, Rips, Ann. of Math., 2002) If a timefunction is superadditive and ≻ n4

Page 93: Algorithmic and asymptotic properties of groups

Bigger Dehn functions

Theorem. (Birget-S.) Every Dehn function of a f.p. group isequivalent to the time function of a non-deterministic Turingmachine.

Theorem. (S., Birget, Rips, Ann. of Math., 2002) If a timefunction is superadditive and ≻ n4 then it is equivalent to theDehn function of a f.p. group.

Page 94: Algorithmic and asymptotic properties of groups

Bigger Dehn functions

Theorem. (Birget-S.) Every Dehn function of a f.p. group isequivalent to the time function of a non-deterministic Turingmachine.

Theorem. (S., Birget, Rips, Ann. of Math., 2002) If a timefunction is superadditive and ≻ n4 then it is equivalent to theDehn function of a f.p. group.

Theorem. (S.)

Page 95: Algorithmic and asymptotic properties of groups

Bigger Dehn functions

Theorem. (Birget-S.) Every Dehn function of a f.p. group isequivalent to the time function of a non-deterministic Turingmachine.

Theorem. (S., Birget, Rips, Ann. of Math., 2002) If a timefunction is superadditive and ≻ n4 then it is equivalent to theDehn function of a f.p. group.

Theorem. (S.) Every Turing machine is polynomially equivalentto an S-machine

Page 96: Algorithmic and asymptotic properties of groups

Bigger Dehn functions

Theorem. (Birget-S.) Every Dehn function of a f.p. group isequivalent to the time function of a non-deterministic Turingmachine.

Theorem. (S., Birget, Rips, Ann. of Math., 2002) If a timefunction is superadditive and ≻ n4 then it is equivalent to theDehn function of a f.p. group.

Theorem. (S.) Every Turing machine is polynomially equivalentto an S-machine with one tape and one state

Page 97: Algorithmic and asymptotic properties of groups

Bigger Dehn functions

Theorem. (Birget-S.) Every Dehn function of a f.p. group isequivalent to the time function of a non-deterministic Turingmachine.

Theorem. (S., Birget, Rips, Ann. of Math., 2002) If a timefunction is superadditive and ≻ n4 then it is equivalent to theDehn function of a f.p. group.

Theorem. (S.) Every Turing machine is polynomially equivalentto an S-machine with one tape and one state (Miller machine).

Page 98: Algorithmic and asymptotic properties of groups

Bigger Dehn functions

Theorem. (Birget-S.) Every Dehn function of a f.p. group isequivalent to the time function of a non-deterministic Turingmachine.

Theorem. (S., Birget, Rips, Ann. of Math., 2002) If a timefunction is superadditive and ≻ n4 then it is equivalent to theDehn function of a f.p. group.

Theorem. (S.) Every Turing machine is polynomially equivalentto an S-machine with one tape and one state (Miller machine).

Corollary. (S.)

Page 99: Algorithmic and asymptotic properties of groups

Bigger Dehn functions

Theorem. (Birget-S.) Every Dehn function of a f.p. group isequivalent to the time function of a non-deterministic Turingmachine.

Theorem. (S., Birget, Rips, Ann. of Math., 2002) If a timefunction is superadditive and ≻ n4 then it is equivalent to theDehn function of a f.p. group.

Theorem. (S.) Every Turing machine is polynomially equivalentto an S-machine with one tape and one state (Miller machine).

Corollary. (S.) For every number α ≥ 4 that is computable intime ≤ 22

n

,

Page 100: Algorithmic and asymptotic properties of groups

Bigger Dehn functions

Theorem. (Birget-S.) Every Dehn function of a f.p. group isequivalent to the time function of a non-deterministic Turingmachine.

Theorem. (S., Birget, Rips, Ann. of Math., 2002) If a timefunction is superadditive and ≻ n4 then it is equivalent to theDehn function of a f.p. group.

Theorem. (S.) Every Turing machine is polynomially equivalentto an S-machine with one tape and one state (Miller machine).

Corollary. (S.) For every number α ≥ 4 that is computable intime ≤ 22

n

, there exists a f.p. group with Dehn function nα.

Page 101: Algorithmic and asymptotic properties of groups

Bigger Dehn functions

Theorem. (Birget-S.) Every Dehn function of a f.p. group isequivalent to the time function of a non-deterministic Turingmachine.

Theorem. (S., Birget, Rips, Ann. of Math., 2002) If a timefunction is superadditive and ≻ n4 then it is equivalent to theDehn function of a f.p. group.

Theorem. (S.) Every Turing machine is polynomially equivalentto an S-machine with one tape and one state (Miller machine).

Corollary. (S.) For every number α ≥ 4 that is computable intime ≤ 22

n

, there exists a f.p. group with Dehn function nα.Conversely, every number in the isoperimetric spectrum

Page 102: Algorithmic and asymptotic properties of groups

Bigger Dehn functions

Theorem. (Birget-S.) Every Dehn function of a f.p. group isequivalent to the time function of a non-deterministic Turingmachine.

Theorem. (S., Birget, Rips, Ann. of Math., 2002) If a timefunction is superadditive and ≻ n4 then it is equivalent to theDehn function of a f.p. group.

Theorem. (S.) Every Turing machine is polynomially equivalentto an S-machine with one tape and one state (Miller machine).

Corollary. (S.) For every number α ≥ 4 that is computable intime ≤ 22

n

, there exists a f.p. group with Dehn function nα.Conversely, every number in the isoperimetric spectrum is

computable in time ≤ 222n

.

Page 103: Algorithmic and asymptotic properties of groups

Asymptotic cones

Definition. (Gromov, van den Dries - Wilkie)

Page 104: Algorithmic and asymptotic properties of groups

Asymptotic cones

Definition. (Gromov, van den Dries - Wilkie) An asymptoticcone of a group G corresponding to a sequences of scalarsdn → ∞

Page 105: Algorithmic and asymptotic properties of groups

Asymptotic cones

Definition. (Gromov, van den Dries - Wilkie) An asymptoticcone of a group G corresponding to a sequences of scalarsdn → ∞ is a Gromov-Hausdorff limit of the spaces G/dn.

Page 106: Algorithmic and asymptotic properties of groups

Asymptotic cones

Definition. (Gromov, van den Dries - Wilkie) An asymptoticcone of a group G corresponding to a sequences of scalarsdn → ∞ is a Gromov-Hausdorff limit of the spaces G/dn.

Theorem. (Gromov)

Page 107: Algorithmic and asymptotic properties of groups

Asymptotic cones

Definition. (Gromov, van den Dries - Wilkie) An asymptoticcone of a group G corresponding to a sequences of scalarsdn → ∞ is a Gromov-Hausdorff limit of the spaces G/dn.

Theorem. (Gromov) If all a. c. of a group are simply connected

Page 108: Algorithmic and asymptotic properties of groups

Asymptotic cones

Definition. (Gromov, van den Dries - Wilkie) An asymptoticcone of a group G corresponding to a sequences of scalarsdn → ∞ is a Gromov-Hausdorff limit of the spaces G/dn.

Theorem. (Gromov) If all a. c. of a group are simply connectedthen the group has polynomial Dehn function and linearisodiametric function.

Page 109: Algorithmic and asymptotic properties of groups

Asymptotic cones

Definition. (Gromov, van den Dries - Wilkie) An asymptoticcone of a group G corresponding to a sequences of scalarsdn → ∞ is a Gromov-Hausdorff limit of the spaces G/dn.

Theorem. (Gromov) If all a. c. of a group are simply connectedthen the group has polynomial Dehn function and linearisodiametric function.

Papasoglu: The converse statement is true if the Dehn function isquadratic.

Page 110: Algorithmic and asymptotic properties of groups

Asymptotic cones

Definition. (Gromov, van den Dries - Wilkie) An asymptoticcone of a group G corresponding to a sequences of scalarsdn → ∞ is a Gromov-Hausdorff limit of the spaces G/dn.

Theorem. (Gromov) If all a. c. of a group are simply connectedthen the group has polynomial Dehn function and linearisodiametric function.

Papasoglu: The converse statement is true if the Dehn function isquadratic.

Theorem. (O+S, solving a problem of Drutu)

Page 111: Algorithmic and asymptotic properties of groups

Asymptotic cones

Definition. (Gromov, van den Dries - Wilkie) An asymptoticcone of a group G corresponding to a sequences of scalarsdn → ∞ is a Gromov-Hausdorff limit of the spaces G/dn.

Theorem. (Gromov) If all a. c. of a group are simply connectedthen the group has polynomial Dehn function and linearisodiametric function.

Papasoglu: The converse statement is true if the Dehn function isquadratic.

Theorem. (O+S, solving a problem of Drutu) There are f.p.groups with non-simply connected asymptotic cones

Page 112: Algorithmic and asymptotic properties of groups

Asymptotic cones

Definition. (Gromov, van den Dries - Wilkie) An asymptoticcone of a group G corresponding to a sequences of scalarsdn → ∞ is a Gromov-Hausdorff limit of the spaces G/dn.

Theorem. (Gromov) If all a. c. of a group are simply connectedthen the group has polynomial Dehn function and linearisodiametric function.

Papasoglu: The converse statement is true if the Dehn function isquadratic.

Theorem. (O+S, solving a problem of Drutu) There are f.p.groups with non-simply connected asymptotic cones but Dehnfunctions arbitrary close to n2

Page 113: Algorithmic and asymptotic properties of groups

Asymptotic cones

Definition. (Gromov, van den Dries - Wilkie) An asymptoticcone of a group G corresponding to a sequences of scalarsdn → ∞ is a Gromov-Hausdorff limit of the spaces G/dn.

Theorem. (Gromov) If all a. c. of a group are simply connectedthen the group has polynomial Dehn function and linearisodiametric function.

Papasoglu: The converse statement is true if the Dehn function isquadratic.

Theorem. (O+S, solving a problem of Drutu) There are f.p.groups with non-simply connected asymptotic cones but Dehnfunctions arbitrary close to n2 and linear isodiametric function.

Page 114: Algorithmic and asymptotic properties of groups

Asymptotic cones

Definition. (Gromov, van den Dries - Wilkie) An asymptoticcone of a group G corresponding to a sequences of scalarsdn → ∞ is a Gromov-Hausdorff limit of the spaces G/dn.

Theorem. (Gromov) If all a. c. of a group are simply connectedthen the group has polynomial Dehn function and linearisodiametric function.

Papasoglu: The converse statement is true if the Dehn function isquadratic.

Theorem. (O+S, solving a problem of Drutu) There are f.p.groups with non-simply connected asymptotic cones but Dehnfunctions arbitrary close to n2 and linear isodiametric function.

Theorem (O+S)

Page 115: Algorithmic and asymptotic properties of groups

Asymptotic cones

Definition. (Gromov, van den Dries - Wilkie) An asymptoticcone of a group G corresponding to a sequences of scalarsdn → ∞ is a Gromov-Hausdorff limit of the spaces G/dn.

Theorem. (Gromov) If all a. c. of a group are simply connectedthen the group has polynomial Dehn function and linearisodiametric function.

Papasoglu: The converse statement is true if the Dehn function isquadratic.

Theorem. (O+S, solving a problem of Drutu) There are f.p.groups with non-simply connected asymptotic cones but Dehnfunctions arbitrary close to n2 and linear isodiametric function.

Theorem (O+S) There are f.p. groups with undecidable wordproblem

Page 116: Algorithmic and asymptotic properties of groups

Asymptotic cones

Definition. (Gromov, van den Dries - Wilkie) An asymptoticcone of a group G corresponding to a sequences of scalarsdn → ∞ is a Gromov-Hausdorff limit of the spaces G/dn.

Theorem. (Gromov) If all a. c. of a group are simply connectedthen the group has polynomial Dehn function and linearisodiametric function.

Papasoglu: The converse statement is true if the Dehn function isquadratic.

Theorem. (O+S, solving a problem of Drutu) There are f.p.groups with non-simply connected asymptotic cones but Dehnfunctions arbitrary close to n2 and linear isodiametric function.

Theorem (O+S) There are f.p. groups with undecidable wordproblem but Dehn function f (n) bounded by Cn2 for infinitelymany n’s.

Page 117: Algorithmic and asymptotic properties of groups

Asymptotic cones

Definition. (Gromov, van den Dries - Wilkie) An asymptoticcone of a group G corresponding to a sequences of scalarsdn → ∞ is a Gromov-Hausdorff limit of the spaces G/dn.

Theorem. (Gromov) If all a. c. of a group are simply connectedthen the group has polynomial Dehn function and linearisodiametric function.

Papasoglu: The converse statement is true if the Dehn function isquadratic.

Theorem. (O+S, solving a problem of Drutu) There are f.p.groups with non-simply connected asymptotic cones but Dehnfunctions arbitrary close to n2 and linear isodiametric function.

Theorem (O+S) There are f.p. groups with undecidable wordproblem but Dehn function f (n) bounded by Cn2 for infinitelymany n’s. Such a group has at least two non-homeomorphic a. c.:

Page 118: Algorithmic and asymptotic properties of groups

Asymptotic cones

Definition. (Gromov, van den Dries - Wilkie) An asymptoticcone of a group G corresponding to a sequences of scalarsdn → ∞ is a Gromov-Hausdorff limit of the spaces G/dn.

Theorem. (Gromov) If all a. c. of a group are simply connectedthen the group has polynomial Dehn function and linearisodiametric function.

Papasoglu: The converse statement is true if the Dehn function isquadratic.

Theorem. (O+S, solving a problem of Drutu) There are f.p.groups with non-simply connected asymptotic cones but Dehnfunctions arbitrary close to n2 and linear isodiametric function.

Theorem (O+S) There are f.p. groups with undecidable wordproblem but Dehn function f (n) bounded by Cn2 for infinitelymany n’s. Such a group has at least two non-homeomorphic a. c.:one simply connected and one non-simply connected.

Page 119: Algorithmic and asymptotic properties of groups

Asymptotic cones

Definition. (Gromov, van den Dries - Wilkie) An asymptoticcone of a group G corresponding to a sequences of scalarsdn → ∞ is a Gromov-Hausdorff limit of the spaces G/dn.

Theorem. (Gromov) If all a. c. of a group are simply connectedthen the group has polynomial Dehn function and linearisodiametric function.

Papasoglu: The converse statement is true if the Dehn function isquadratic.

Theorem. (O+S, solving a problem of Drutu) There are f.p.groups with non-simply connected asymptotic cones but Dehnfunctions arbitrary close to n2 and linear isodiametric function.

Theorem (O+S) There are f.p. groups with undecidable wordproblem but Dehn function f (n) bounded by Cn2 for infinitelymany n’s. Such a group has at least two non-homeomorphic a. c.:one simply connected and one non-simply connected.

Kramer, Shelah, Tent, Thomas:

Page 120: Algorithmic and asymptotic properties of groups

Asymptotic cones

Definition. (Gromov, van den Dries - Wilkie) An asymptoticcone of a group G corresponding to a sequences of scalarsdn → ∞ is a Gromov-Hausdorff limit of the spaces G/dn.

Theorem. (Gromov) If all a. c. of a group are simply connectedthen the group has polynomial Dehn function and linearisodiametric function.

Papasoglu: The converse statement is true if the Dehn function isquadratic.

Theorem. (O+S, solving a problem of Drutu) There are f.p.groups with non-simply connected asymptotic cones but Dehnfunctions arbitrary close to n2 and linear isodiametric function.

Theorem (O+S) There are f.p. groups with undecidable wordproblem but Dehn function f (n) bounded by Cn2 for infinitelymany n’s. Such a group has at least two non-homeomorphic a. c.:one simply connected and one non-simply connected.

Kramer, Shelah, Tent, Thomas: assuming CH is not true.

Page 121: Algorithmic and asymptotic properties of groups

Embeddings

Theorem. (Birget, Rips, Olshanskii, S., Ann. of Math.,2002)

Page 122: Algorithmic and asymptotic properties of groups

Embeddings

Theorem. (Birget, Rips, Olshanskii, S., Ann. of Math.,2002) A finitely generated group has word problem in NP

Page 123: Algorithmic and asymptotic properties of groups

Embeddings

Theorem. (Birget, Rips, Olshanskii, S., Ann. of Math.,2002) A finitely generated group has word problem in NP iff it isinside a finitely presented group with polynomial Dehn function.

Page 124: Algorithmic and asymptotic properties of groups

Embeddings

Theorem. (Birget, Rips, Olshanskii, S., Ann. of Math.,2002) A finitely generated group has word problem in NP iff it isinside a finitely presented group with polynomial Dehn function.

Corollary.

Page 125: Algorithmic and asymptotic properties of groups

Embeddings

Theorem. (Birget, Rips, Olshanskii, S., Ann. of Math.,2002) A finitely generated group has word problem in NP iff it isinside a finitely presented group with polynomial Dehn function.

Corollary. There exists an NP-complete f.p. group.

Page 126: Algorithmic and asymptotic properties of groups

Embeddings

Theorem. (Birget, Rips, Olshanskii, S., Ann. of Math.,2002) A finitely generated group has word problem in NP iff it isinside a finitely presented group with polynomial Dehn function.

Corollary. There exists an NP-complete f.p. group.

Corollary.

Page 127: Algorithmic and asymptotic properties of groups

Embeddings

Theorem. (Birget, Rips, Olshanskii, S., Ann. of Math.,2002) A finitely generated group has word problem in NP iff it isinside a finitely presented group with polynomial Dehn function.

Corollary. There exists an NP-complete f.p. group.

Corollary. If a word problem in a f.g. group can be solved inNP-time by a smart algorithm,

Page 128: Algorithmic and asymptotic properties of groups

Embeddings

Theorem. (Birget, Rips, Olshanskii, S., Ann. of Math.,2002) A finitely generated group has word problem in NP iff it isinside a finitely presented group with polynomial Dehn function.

Corollary. There exists an NP-complete f.p. group.

Corollary. If a word problem in a f.g. group can be solved inNP-time by a smart algorithm, it can be solved in NP-time by theobvious algorithm

Page 129: Algorithmic and asymptotic properties of groups

Embeddings

Theorem. (Birget, Rips, Olshanskii, S., Ann. of Math.,2002) A finitely generated group has word problem in NP iff it isinside a finitely presented group with polynomial Dehn function.

Corollary. There exists an NP-complete f.p. group.

Corollary. If a word problem in a f.g. group can be solved inNP-time by a smart algorithm, it can be solved in NP-time by theobvious algorithm involving relations of a bigger group.

Page 130: Algorithmic and asymptotic properties of groups

Idea of the proof

k1

k2 k2

k3 k3

qu

q qq′ q′

q′u′ q′u′

disc 1 disc 2

hub hub

qu → q iff u =G 1 qu → q iff u =G 1

k1q

u =G 1 iff u =G ′ 1

Page 131: Algorithmic and asymptotic properties of groups

Collins’ problem

The conjugacy problem is much harder to preserve underembeddings.

Page 132: Algorithmic and asymptotic properties of groups

Collins’ problem

The conjugacy problem is much harder to preserve underembeddings.

Collins-Miller and Gorjaga-Kirkinskiı: even subgroups of index 2

Page 133: Algorithmic and asymptotic properties of groups

Collins’ problem

The conjugacy problem is much harder to preserve underembeddings.

Collins-Miller and Gorjaga-Kirkinskiı: even subgroups of index 2 offinitely presented groups do not inherit solvability or unsolvabilityof the conjugacy problem.

Page 134: Algorithmic and asymptotic properties of groups

Collins’ problem

The conjugacy problem is much harder to preserve underembeddings.

Collins-Miller and Gorjaga-Kirkinskiı: even subgroups of index 2 offinitely presented groups do not inherit solvability or unsolvabilityof the conjugacy problem.

D. Collins (1976)

Page 135: Algorithmic and asymptotic properties of groups

Collins’ problem

The conjugacy problem is much harder to preserve underembeddings.

Collins-Miller and Gorjaga-Kirkinskiı: even subgroups of index 2 offinitely presented groups do not inherit solvability or unsolvabilityof the conjugacy problem.

D. Collins (1976) Does there exist a version of the Higman

embedding theorem in which the degree of unsolvability of the

conjugacy problem is preserved?

Page 136: Algorithmic and asymptotic properties of groups

Collins’ problem

The conjugacy problem is much harder to preserve underembeddings.

Collins-Miller and Gorjaga-Kirkinskiı: even subgroups of index 2 offinitely presented groups do not inherit solvability or unsolvabilityof the conjugacy problem.

D. Collins (1976) Does there exist a version of the Higman

embedding theorem in which the degree of unsolvability of the

conjugacy problem is preserved?

Theorem (O+S, Memoirs of AMS, 2004)

Page 137: Algorithmic and asymptotic properties of groups

Collins’ problem

The conjugacy problem is much harder to preserve underembeddings.

Collins-Miller and Gorjaga-Kirkinskiı: even subgroups of index 2 offinitely presented groups do not inherit solvability or unsolvabilityof the conjugacy problem.

D. Collins (1976) Does there exist a version of the Higman

embedding theorem in which the degree of unsolvability of the

conjugacy problem is preserved?

Theorem (O+S, Memoirs of AMS, 2004) A finitely generatedgroup H has solvable conjugacy problem

Page 138: Algorithmic and asymptotic properties of groups

Collins’ problem

The conjugacy problem is much harder to preserve underembeddings.

Collins-Miller and Gorjaga-Kirkinskiı: even subgroups of index 2 offinitely presented groups do not inherit solvability or unsolvabilityof the conjugacy problem.

D. Collins (1976) Does there exist a version of the Higman

embedding theorem in which the degree of unsolvability of the

conjugacy problem is preserved?

Theorem (O+S, Memoirs of AMS, 2004) A finitely generatedgroup H has solvable conjugacy problem if and only if it is Frattiniembedded into a finitely presented group G with solvableconjugacy problem.

Page 139: Algorithmic and asymptotic properties of groups

Collins problem: the construction

◮ Embed H into a finitely presented group H1.

Page 140: Algorithmic and asymptotic properties of groups

Collins problem: the construction

◮ Embed H into a finitely presented group H1.

◮ Use the Miller S-machine M(H1) to solve the word problem inH.

Page 141: Algorithmic and asymptotic properties of groups

Collins problem: the construction

◮ Embed H into a finitely presented group H1.

◮ Use the Miller S-machine M(H1) to solve the word problem inH.

◮ Use Boone-Novikov to make a part of M(H1) act as TM.

Page 142: Algorithmic and asymptotic properties of groups

Collins problem: the construction

◮ Embed H into a finitely presented group H1.

◮ Use the Miller S-machine M(H1) to solve the word problem inH.

◮ Use Boone-Novikov to make a part of M(H1) act as TM.

◮ Embed H into a f.p. group G using the new machine.

Page 143: Algorithmic and asymptotic properties of groups

Collins problem: the construction

◮ Embed H into a finitely presented group H1.

◮ Use the Miller S-machine M(H1) to solve the word problem inH.

◮ Use Boone-Novikov to make a part of M(H1) act as TM.

◮ Embed H into a f.p. group G using the new machine.

◮ Use Makanin-Razborov to analyze conjugacy problem fortrapezia.

Page 144: Algorithmic and asymptotic properties of groups

Collins problem: the construction

◮ Embed H into a finitely presented group H1.

◮ Use the Miller S-machine M(H1) to solve the word problem inH.

◮ Use Boone-Novikov to make a part of M(H1) act as TM.

◮ Embed H into a f.p. group G using the new machine.

◮ Use Makanin-Razborov to analyze conjugacy problem fortrapezia.

◮ Analyze annular diagrams to solve conjugacy problem.

Page 145: Algorithmic and asymptotic properties of groups

Collins problem: the construction

◮ Embed H into a finitely presented group H1.

◮ Use the Miller S-machine M(H1) to solve the word problem inH.

◮ Use Boone-Novikov to make a part of M(H1) act as TM.

◮ Embed H into a f.p. group G using the new machine.

◮ Use Makanin-Razborov to analyze conjugacy problem fortrapezia.

◮ Analyze annular diagrams to solve conjugacy problem.

Problem.

Page 146: Algorithmic and asymptotic properties of groups

Collins problem: the construction

◮ Embed H into a finitely presented group H1.

◮ Use the Miller S-machine M(H1) to solve the word problem inH.

◮ Use Boone-Novikov to make a part of M(H1) act as TM.

◮ Embed H into a f.p. group G using the new machine.

◮ Use Makanin-Razborov to analyze conjugacy problem fortrapezia.

◮ Analyze annular diagrams to solve conjugacy problem.

Problem. Is there a version of Higman embedding preserving thecomplexity of conjugacy problem?

Page 147: Algorithmic and asymptotic properties of groups

von Neumann’s problem: history

Hausdorff, Banach, Tarski:

Page 148: Algorithmic and asymptotic properties of groups

von Neumann’s problem: history

Hausdorff, Banach, Tarski: One can cut a ball into several piecesand

Page 149: Algorithmic and asymptotic properties of groups

von Neumann’s problem: history

Hausdorff, Banach, Tarski: One can cut a ball into several piecesand move them to assemble two balls of the same size.

Page 150: Algorithmic and asymptotic properties of groups

von Neumann’s problem: history

Hausdorff, Banach, Tarski: One can cut a ball into several piecesand move them to assemble two balls of the same size.von Neumann:

Page 151: Algorithmic and asymptotic properties of groups

von Neumann’s problem: history

Hausdorff, Banach, Tarski: One can cut a ball into several piecesand move them to assemble two balls of the same size.von Neumann: The reason is that the group of isometries of theball

Page 152: Algorithmic and asymptotic properties of groups

von Neumann’s problem: history

Hausdorff, Banach, Tarski: One can cut a ball into several piecesand move them to assemble two balls of the same size.von Neumann: The reason is that the group of isometries of theball is not amenable,

Page 153: Algorithmic and asymptotic properties of groups

von Neumann’s problem: history

Hausdorff, Banach, Tarski: One can cut a ball into several piecesand move them to assemble two balls of the same size.von Neumann: The reason is that the group of isometries of theball is not amenable, i.e. there is no finitely additive left invariantprobability measure on the set of all subsets of the group.

Page 154: Algorithmic and asymptotic properties of groups

von Neumann’s problem: history

Hausdorff, Banach, Tarski: One can cut a ball into several piecesand move them to assemble two balls of the same size.von Neumann: The reason is that the group of isometries of theball is not amenable, i.e. there is no finitely additive left invariantprobability measure on the set of all subsets of the group.

The reason for non-amenability:

Page 155: Algorithmic and asymptotic properties of groups

von Neumann’s problem: history

Hausdorff, Banach, Tarski: One can cut a ball into several piecesand move them to assemble two balls of the same size.von Neumann: The reason is that the group of isometries of theball is not amenable, i.e. there is no finitely additive left invariantprobability measure on the set of all subsets of the group.

The reason for non-amenability: existence of non-cyclic freesubgroups.

Page 156: Algorithmic and asymptotic properties of groups

von Neumann’s problem: history

Hausdorff, Banach, Tarski: One can cut a ball into several piecesand move them to assemble two balls of the same size.von Neumann: The reason is that the group of isometries of theball is not amenable, i.e. there is no finitely additive left invariantprobability measure on the set of all subsets of the group.

The reason for non-amenability: existence of non-cyclic freesubgroups.

Another definition. (Gromov):

Page 157: Algorithmic and asymptotic properties of groups

von Neumann’s problem: history

Hausdorff, Banach, Tarski: One can cut a ball into several piecesand move them to assemble two balls of the same size.von Neumann: The reason is that the group of isometries of theball is not amenable, i.e. there is no finitely additive left invariantprobability measure on the set of all subsets of the group.

The reason for non-amenability: existence of non-cyclic freesubgroups.

Another definition. (Gromov):r

r

r

r

r

r

rr

Page 158: Algorithmic and asymptotic properties of groups

von Neumann’s problem: history

Hausdorff, Banach, Tarski: One can cut a ball into several piecesand move them to assemble two balls of the same size.von Neumann: The reason is that the group of isometries of theball is not amenable, i.e. there is no finitely additive left invariantprobability measure on the set of all subsets of the group.

The reason for non-amenability: existence of non-cyclic freesubgroups.

Another definition. (Gromov):r

r

r

r

r

r

rr

Question. (Beatles)

Page 159: Algorithmic and asymptotic properties of groups

von Neumann’s problem: history

Hausdorff, Banach, Tarski: One can cut a ball into several piecesand move them to assemble two balls of the same size.von Neumann: The reason is that the group of isometries of theball is not amenable, i.e. there is no finitely additive left invariantprobability measure on the set of all subsets of the group.

The reason for non-amenability: existence of non-cyclic freesubgroups.

Another definition. (Gromov):r

r

r

r

r

r

rr

Question. (Beatles) Why can’t we do it in the road?

Page 160: Algorithmic and asymptotic properties of groups

von Neumann’s problem: history

Hausdorff, Banach, Tarski: One can cut a ball into several piecesand move them to assemble two balls of the same size.von Neumann: The reason is that the group of isometries of theball is not amenable, i.e. there is no finitely additive left invariantprobability measure on the set of all subsets of the group.

The reason for non-amenability: existence of non-cyclic freesubgroups.

Another definition. (Gromov):r

r

r

r

r

r

rr

Question. (Beatles) Why can’t we do it in the road?Answer:

Page 161: Algorithmic and asymptotic properties of groups

von Neumann’s problem: history

Hausdorff, Banach, Tarski: One can cut a ball into several piecesand move them to assemble two balls of the same size.von Neumann: The reason is that the group of isometries of theball is not amenable, i.e. there is no finitely additive left invariantprobability measure on the set of all subsets of the group.

The reason for non-amenability: existence of non-cyclic freesubgroups.

Another definition. (Gromov):r

r

r

r

r

r

rr

Question. (Beatles) Why can’t we do it in the road?Answer: Because R is amenable.

Page 162: Algorithmic and asymptotic properties of groups

von Neumann’s problem: history

Hausdorff, Banach, Tarski: One can cut a ball into several piecesand move them to assemble two balls of the same size.von Neumann: The reason is that the group of isometries of theball is not amenable, i.e. there is no finitely additive left invariantprobability measure on the set of all subsets of the group.

The reason for non-amenability: existence of non-cyclic freesubgroups.

Another definition. (Gromov):r

r

r

r

r

r

rr

Question. (Beatles) Why can’t we do it in the road?Answer: Because R is amenable.

s r

Page 163: Algorithmic and asymptotic properties of groups

von Neumann’s problem

Problem (von Neumann-Day, 50s)

Page 164: Algorithmic and asymptotic properties of groups

von Neumann’s problem

Problem (von Neumann-Day, 50s) Is there a non-amenablegroup without non-cyclic free subgroups?

Page 165: Algorithmic and asymptotic properties of groups

von Neumann’s problem

Problem (von Neumann-Day, 50s) Is there a non-amenablegroup without non-cyclic free subgroups?

Solved in the 80s:

Page 166: Algorithmic and asymptotic properties of groups

von Neumann’s problem

Problem (von Neumann-Day, 50s) Is there a non-amenablegroup without non-cyclic free subgroups?

Solved in the 80s: Olshanskii (Tarski monster),

Page 167: Algorithmic and asymptotic properties of groups

von Neumann’s problem

Problem (von Neumann-Day, 50s) Is there a non-amenablegroup without non-cyclic free subgroups?

Solved in the 80s: Olshanskii (Tarski monster), Adian (the freeBurnside groups of large enough exponent).

Page 168: Algorithmic and asymptotic properties of groups

Grigorchuk-Cohen problem

Problem.

Page 169: Algorithmic and asymptotic properties of groups

Grigorchuk-Cohen problem

Problem. Is there a finitely presented counterexample to vonNeumann’s problem?

Page 170: Algorithmic and asymptotic properties of groups

Grigorchuk-Cohen problem

Problem. Is there a finitely presented counterexample to vonNeumann’s problem?

Theorem. (Olshanskii, S., Publ. IHES, 2002)

Page 171: Algorithmic and asymptotic properties of groups

Grigorchuk-Cohen problem

Problem. Is there a finitely presented counterexample to vonNeumann’s problem?

Theorem. (Olshanskii, S., Publ. IHES, 2002) For everysufficiently large odd n,

Page 172: Algorithmic and asymptotic properties of groups

Grigorchuk-Cohen problem

Problem. Is there a finitely presented counterexample to vonNeumann’s problem?

Theorem. (Olshanskii, S., Publ. IHES, 2002) For everysufficiently large odd n, there exists a finitely presented group G:

Page 173: Algorithmic and asymptotic properties of groups

Grigorchuk-Cohen problem

Problem. Is there a finitely presented counterexample to vonNeumann’s problem?

Theorem. (Olshanskii, S., Publ. IHES, 2002) For everysufficiently large odd n, there exists a finitely presented group G:

1. G is an ascending HNN extension of a finitely generatedinfinite group H of exponent n.

Page 174: Algorithmic and asymptotic properties of groups

Grigorchuk-Cohen problem

Problem. Is there a finitely presented counterexample to vonNeumann’s problem?

Theorem. (Olshanskii, S., Publ. IHES, 2002) For everysufficiently large odd n, there exists a finitely presented group G:

1. G is an ascending HNN extension of a finitely generatedinfinite group H of exponent n.

2. H is an “almost” finitely presented bounded torsion group.

Page 175: Algorithmic and asymptotic properties of groups

Grigorchuk-Cohen problem

Problem. Is there a finitely presented counterexample to vonNeumann’s problem?

Theorem. (Olshanskii, S., Publ. IHES, 2002) For everysufficiently large odd n, there exists a finitely presented group G:

1. G is an ascending HNN extension of a finitely generatedinfinite group H of exponent n.

2. H is an “almost” finitely presented bounded torsion group.

3. G contains a subgroup isomorphic to a free Burnside group ofexponent n with 2 generators.

Page 176: Algorithmic and asymptotic properties of groups

Grigorchuk-Cohen problem

Problem. Is there a finitely presented counterexample to vonNeumann’s problem?

Theorem. (Olshanskii, S., Publ. IHES, 2002) For everysufficiently large odd n, there exists a finitely presented group G:

1. G is an ascending HNN extension of a finitely generatedinfinite group H of exponent n.

2. H is an “almost” finitely presented bounded torsion group.

3. G contains a subgroup isomorphic to a free Burnside group ofexponent n with 2 generators.

4. G is a non-amenable finitely presented group without freenon-cyclic subgroups.

Page 177: Algorithmic and asymptotic properties of groups

Grigorchuk-Cohen problem

Problem. Is there a finitely presented counterexample to vonNeumann’s problem?

Theorem. (Olshanskii, S., Publ. IHES, 2002) For everysufficiently large odd n, there exists a finitely presented group G:

1. G is an ascending HNN extension of a finitely generatedinfinite group H of exponent n.

2. H is an “almost” finitely presented bounded torsion group.

3. G contains a subgroup isomorphic to a free Burnside group ofexponent n with 2 generators.

4. G is a non-amenable finitely presented group without freenon-cyclic subgroups.

The proof uses all the ideas mentioned above

Page 178: Algorithmic and asymptotic properties of groups

Grigorchuk-Cohen problem

Problem. Is there a finitely presented counterexample to vonNeumann’s problem?

Theorem. (Olshanskii, S., Publ. IHES, 2002) For everysufficiently large odd n, there exists a finitely presented group G:

1. G is an ascending HNN extension of a finitely generatedinfinite group H of exponent n.

2. H is an “almost” finitely presented bounded torsion group.

3. G contains a subgroup isomorphic to a free Burnside group ofexponent n with 2 generators.

4. G is a non-amenable finitely presented group without freenon-cyclic subgroups.

The proof uses all the ideas mentioned above plus the Olshanskiitheory of graded diagrams.

Page 179: Algorithmic and asymptotic properties of groups

Grigorchuk-Cohen problem

Problem. Is there a finitely presented counterexample to vonNeumann’s problem?

Theorem. (Olshanskii, S., Publ. IHES, 2002) For everysufficiently large odd n, there exists a finitely presented group G:

1. G is an ascending HNN extension of a finitely generatedinfinite group H of exponent n.

2. H is an “almost” finitely presented bounded torsion group.

3. G contains a subgroup isomorphic to a free Burnside group ofexponent n with 2 generators.

4. G is a non-amenable finitely presented group without freenon-cyclic subgroups.

The proof uses all the ideas mentioned above plus the Olshanskiitheory of graded diagrams.

Problem.

Page 180: Algorithmic and asymptotic properties of groups

Grigorchuk-Cohen problem

Problem. Is there a finitely presented counterexample to vonNeumann’s problem?

Theorem. (Olshanskii, S., Publ. IHES, 2002) For everysufficiently large odd n, there exists a finitely presented group G:

1. G is an ascending HNN extension of a finitely generatedinfinite group H of exponent n.

2. H is an “almost” finitely presented bounded torsion group.

3. G contains a subgroup isomorphic to a free Burnside group ofexponent n with 2 generators.

4. G is a non-amenable finitely presented group without freenon-cyclic subgroups.

The proof uses all the ideas mentioned above plus the Olshanskiitheory of graded diagrams.

Problem. Is there a finitely presented torsion group?