Appendix B: Matrix Arithmetic

1. If A is invertible then B = IB = (A−1A)B = A−10 = 0, contrary to assumption.
2. a. By the definition of matrix multiplication column k of AB is exactly ABk .
3.AB = I2 but img.
5.img and img are both invertible (in fact A−1 = A and B−1 = B), but img is not invertible by Theorem 3 because det (A + B) = 0. For a simpler example, take A = U and B = − U for any invertible matrix U .
7.(A + B)(AB) = A2 + ABBAB2, so (AB)(A + B) = A2B2 if and only if ABBA = 0.
9. It is routine that A3 = I, so AA2 = I = A2A . This implies that A−1 = A2.
11. a. AA−1 = I = A−1A shows A is the inverse of A−1, that is (A−1)−1 = A . Next, (AB)(B−1A−1) = AIA−1 = AA−1 = I, and similarly (B−1A−1)(AB) = I. Hence AB is invertible and (AB)−1 = B−1A−1.
13. a.If AB = I then det A det B = det (AB) = det I = 1 . Hence det A is a unit so, by Theorem 7, A is invertible. But then A−1 = A−1I = A−1(AB) = B, whence BA = A−1A = I as required.
15. a. The only nonzero entry in EikEmj must come from entry k of row i of Eik and column m of Emj . The result follows.
c. For each i and j, aijEij has aij in the (i, j) -entry and zeros elsewhere. So their sum is [aij] .
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3.144.95.22