If the minimal polynomial of a matrix A is (A)-- then A is a scalar matrix k. (I is the identity matrix) True O False

Show that is A is a square matrix, then A + AT is a symmetric matrix. You can use any matrix for A as long as it is a square matrix.

(2) Find the examples that satisfy the statement in the given items and show some work how they are correct examples (a) A 4 x 4 matrices A that is not digonalizable. (b) (c) Two matrices A and B that have the same characteristic polynomial but are not similar. Two diagonal matrices D₁ and D₂ that are similar but they are not equal. (d) Two similar matrices A and B such that A is orthogonally digonalizable but B is not orthogonally diagonalizable.

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)