Page 205 - Discrete Mathematics and Its Applications
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184  2 / Basic Structures: Sets, Functions, Sequences, Sums, and Matrices


                              4. Find the product AB, where                      15. Let
                                       ⎡           ⎤      ⎡           ⎤
                                          1   0    1         0   1  −1

                                a) A = ⎣ 0   −1 −1 ⎦ , B = ⎣ 1 −1     0 ⎦ .                 A =  11   .
                                        −1    1    0       −1    0    1                          0  1
                                       ⎡          ⎤      ⎡              ⎤
                                        1 −3     0         1  −1   2   3                            n
                                b) A = ⎣ 1   2   2 ⎦ , B = ⎣ −1  0  3 −1 ⎦ .        Find a formula for A , whenever n is a positive integer.
                                                                                               t t
                                        2    1 −1         −3 −2    0   2         16. Show that (A ) = A.
                                       ⎡       ⎤                                 17. Let A and B be two n × n matrices. Show that
                                          0  −1          4  −12   30                         t    t   t
                                c) A = ⎣ 7    2 ⎦ , B =  −2  0  3 4  1  .           a) (A + B) = A + B .
                                                                                           t
                                                                                                  t
                                                                                                t
                                        −4   −3                                     b) (AB) = B A .
                              5. Find a matrix A such that                       If A and B are n × n matrices with AB = BA = I n , then B
                                                                                 is called the inverse of A (this terminology is appropriate be-

                                        2  3      30                             cause such a matrix B is unique) and A is said to be invertible.
                                             A =       .                                        −1
                                        14        1  2                           The notation B = A  denotes that B is the inverse of A.
                                                                                 18. Show that
                                [Hint: Finding A requires that you solve systems of linear
                                                                                            ⎡           ⎤
                                equations.]                                                   2    3 −1
                                                                                            ⎣ 1    2
                              6. Find a matrix A such that                                             1 ⎦
                                                                                             −1 −1     3
                                       ⎡       ⎤     ⎡          ⎤
                                         1  3 2         7   1 3
                                       ⎣ 2  1  1 ⎦ A = ⎣ 1  0  3 ⎦ .                is the inverse of
                                         4  0  3      −1 −37                                ⎡           ⎤
                                                                                              7 −8     5
                                                                                            ⎣ −4   5 −3 ⎦ .
                              7. Let A be an m × n matrix and let 0 be the m × n matrix       1 −1     1
                                that has all entries equal to zero. Show that A = 0 + A =
                                A + 0.                                           19. Let A be the 2 × 2 matrix
                              8. Show that matrix addition is commutative; that is,

                                show that if A and B are both m × n matrices, then               a  b
                                                                                            A =       .
                                A + B = B + A.                                                   c  d
                              9. Show that matrix addition is associative; that is, show
                                that if A, B, and C are all m × n matrices, then    Show that if ad − bc  = 0, then
                                A + (B + C) = (A + B) + C.
                                                                                                     d       −b
                                                                                                 ⎡                ⎤
                             10. Let A bea3 × 4 matrix, B bea4 × 5 matrix, and C be a            ⎢ ad − bc
                                4 × 4 matrix. Determine which of the following products    A −1  =  ⎢      ad − bc ⎥  .
                                                                                                                  ⎥
                                                                                                 ⎣   −c       a   ⎦
                                are defined and find the size of those that are defined.
                                a) AB       b) BA       c) AC                                      ad − bc  ad − bc
                                d) CA       e) BC       f) CB
                                                                                 20. Let
                             11. What do we know about the sizes of the matrices A and
                                B if both of the products AB and BA are defined?                  −12
                                                                                           A =         .
                             12. In this exercise we show that matrix multiplication is dis-      1  3
                                tributive over matrix addition.
                                a) Suppose that A and B are m × k matrices and that C  a) Find A −1 .[Hint: Use Exercise 19.]
                                                                                            3
                                   is a k × n matrix. Show that (A + B)C = AC + BC.  b) Find A .
                                                                                               ) .
                                b) SupposethatCisanm × k matrixandthatAandBare      c) Find (A −1 3
                                                                                                                              )
                                   k × n matrices. Show that C(A + B) = CA + CB.    d) Use your answers to (b) and (c) to show that (A −1 3
                                                                                                     3
                             13. In this exercise we show that matrix multiplication is  is the inverse of A .
                                                                                                                          n −1
                                associative. Suppose that A is an m × p matrix, B is  21. Let A be an invertible matrix. Show that (A )  =
                                                                                        ) whenever n is a positive integer.
                                a p × k matrix, and C is a k × n matrix. Show that  (A −1 n
                                A(BC) = (AB)C.                                   22. Let A be a matrix. Show that the matrix AA is symmet-
                                                                                                                      t
                             14. The n × n matrix A =[a ij ] is called a diagonal matrix if  ric. [Hint: Show that this matrix equals its transpose with
                                a ij = 0 when i  = j. Show that the product of two n × n  the help of Exercise 17b.]
                                diagonal matrices is again a diagonal matrix. Give a sim-  23. Suppose that A is an n × n matrix where n is a positive
                                                                                                       t
                                ple rule for determining this product.              integer. Show that A + A is symmetric.
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