Let A B denotes the tensor product of matrices Amxn and Bpxq defined by the block matrix A & B := a11 B a21 B : am1B a12B a22B ⠀ am2 B a1nB a2n B : amn B mpxng

Linear Algebra: A Modern Introduction
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ISBN:9781285463247
Author:David Poole
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Chapter4: Eigenvalues And Eigenvectors
Section4.4: Similarity And Diagonalization
Problem 41EQ: In general, it is difficult to show that two matrices are similar. However, if two similar matrices...
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Let A B denotes the tensor product of matrices Amxn and
Bpxq defined by the block matrix
A B =
a12B
922B
a11B
a21 B
:
:
ami B am2 B
:
ain B
a2n B
:
amn B
mpxnq
(a) Let A, B, C, D be defined as Amxn, Bpxq, Cnxk, and Dqxr.
Prove that (AB)(C > D) = ACⒸ BD
(b) Let Amxm and B₁xn be nonsingular matrices.
- Prove that (AB) is nonsingular.
- Find the inverse matrix of (AB)
(c) Prove that the following equality applies for any Amxm
and Bnxn square matrices
trace(AB) = trace(A) * trace(B)
Transcribed Image Text:Let A B denotes the tensor product of matrices Amxn and Bpxq defined by the block matrix A B = a12B 922B a11B a21 B : : ami B am2 B : ain B a2n B : amn B mpxnq (a) Let A, B, C, D be defined as Amxn, Bpxq, Cnxk, and Dqxr. Prove that (AB)(C > D) = ACⒸ BD (b) Let Amxm and B₁xn be nonsingular matrices. - Prove that (AB) is nonsingular. - Find the inverse matrix of (AB) (c) Prove that the following equality applies for any Amxm and Bnxn square matrices trace(AB) = trace(A) * trace(B)
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