7

Patterned Matrix Pertemuan 13

  • Upload
    nash

  • View
    39

  • Download
    0

Embed Size (px)

DESCRIPTION

Patterned Matrix Pertemuan 13. Matakuliah: Matrix Algebra for Statistics Tahun: 2009. Patterned. Matrices that have a particular pattern occur frequently in statistics. Such matrices are typically used as intermediary steps in proofs and in perturbation techniques. - PowerPoint PPT Presentation

Citation preview

Page 1: Patterned Matrix  Pertemuan 13
Page 2: Patterned Matrix  Pertemuan 13

Patterned Matrix Pertemuan 13

Matakuliah : Matrix Algebra for Statistics Tahun : 2009

Page 3: Patterned Matrix  Pertemuan 13

Patterned

Matrices that have a particular pattern occur frequently in statistics. Such matrices are typically used as intermediary steps in proofs and in perturbation techniques.Patterned matrices also occur in experimental designs and in certain variance matrices of random vectors

Bina Nusantara University 3

Page 4: Patterned Matrix  Pertemuan 13

Some Identities

a) Identities that are useful, Assumed (that all inverses exist)i) VA-1(A - UD-1V) = (D - VA-1U)D-1V,ii) D-1V(A - UD-lV)-1 = (D - VA-1U)VA-1

b) Setting A = I, D = -I, and interchanging U and V in a) ii), we have that U(I + VU)-1= (I + UV)-LU

Bina Nusantara University 4

Page 5: Patterned Matrix  Pertemuan 13

Continued…

(c) If I + U is nonsingular,(I + U)-1 = I - (I + U ) - W = I - U(I +

U) -1 (d) U'A-1U(I + U'A-1U)-1= I - (I + U'A-1U)-

1.e) If A and B are n x n complex matrices,

thenIn + AA' = (A + B)(In + B*B)-1(A + B)*

+ In- AB*)(I, +BB*)-1(In -AB*)*Bina Nusantara University 5

Page 6: Patterned Matrix  Pertemuan 13

If A is nonsingular and the other matrices are conformable square or rectangular matrices (e.g., A is nxn, U is nxp , B is pxq, and V is qxn), then(A + UBV)-1 = A-1 - (I + A-1UBV)-1A-

1UBVA-1

=A-1 - A-1(I + UBVA-1)-1UBVA-1

=A-1 - A-1U(1 + BVA-1U)-1BVA-1

=A-1 - A-1UB(1 + VA-1UB)-1VA-1

=A-l - A-1UBV(1 + A-1UBV)-1A-1

=A-1 - A-1UBVA-1(I + UBVA-1)-1 

Bina Nusantara University 6

Page 7: Patterned Matrix  Pertemuan 13

Gentle [1998: 621 notes that in linear regression we often need inverses of various sums of matrices and gives the following additional identities for nonsingular A and B.a) (A + BB')-lB = A-1B(I + B'A-1B) -1

b) (A-1 + B-l) -1 = A(A + B) -1B.c) A(A + B) -1B = B(A + B)-lA.d) A-1 + B-1 = A-l(A + B)B-1

We can also add, for nonsingular A + B,e) A - A(A + B)-1A = B - B(A + B) -1B.

Bina Nusantara University 7