Page 445 - Matrix Analysis & Applied Linear Algebra
P. 445

5.13 Orthogonal Projection                                                         441

                                  5.13.13. Let M and N be subspaces of a vector space V, and consider the
                                           associated orthogonal projectors P M and P N .
                                              (a) Prove that P M P N = 0 if and only if M⊥N.
                                              (b) Is it true that P M P N = 0 if and only if P N P M = 0?Why?


                                  5.13.14. Let M and N be subspaces of the same vector space, and let P M
                                           and P N be orthogonal projectors onto M and N, respectively.
                                              (a) Prove that R (P M + P N )= R (P M )+ R (P N )= M + N.
                                                  Hint: Use Exercise 4.2.9 along with (4.5.5).
                                              (b) Explain why M⊥N if and only if P M P N = 0.
                                              (c) Explain why P M + P N is an orthogonal projector if and only
                                                  if P M P N = 0, in which case R (P M + P N )= M⊕N and
                                                  M⊥N. Hint: Recall Exercise 5.9.17.

                                                                     59
                                  5.13.15. Anderson–Duffin Formula.      Prove that if M and N are subspaces
                                           of the same vector space, then the orthogonal projector onto M∩N
                                           is given by P M∩N =2P M (P M + P N ) P N . Hint: Use (5.13.12) and
                                                                              †
                                           Exercise 5.13.14 to show P M (P M + P N ) P N = P N (P M + P N ) P M .
                                                                                                    †
                                                                                †
                                                                         †
                                           Argue that if Z =2P M (P M +P N ) P M , then Z = P M∩N Z = P M∩N .
                                  5.13.16. Given a square matrix X, the matrix exponential e X  is defined as
                                                                                     ∞
                                                                     X 2  X 3           X n
                                                         X
                                                        e  = I + X +    +     + ··· =      .
                                                                     2!    3!            n!
                                                                                     n=0
                                           It can be shown that this series converges for all X, and it is legitimate
                                           to differentiate and integrate it term by term to produce the statements

                                           de At /dt = Ae At  =e At A and  e At A dt =e At .
                                                                             T
                                              (a) Use the fact that lim t→∞ e −A At  = 0 for all A ∈  m×n  to
                                                                   T
                                                                        T
                                                  show A =    ∞ −A At  A dt.
                                                                e
                                                         †
                                                              0
                                                                                                k
                                                                                       e
                                              (b) If lim t→∞ e −A k+1 t  = 0, show A D  =  ∞ −A k+1 t A dt, where
                                                                                     0
                                                               60
                                                  k = index(A).
                                              (c) For nonsingular matrices, show that if lim t→∞ e −At  = 0, then

                                                            e
                                                  A −1  =  ∞ −At dt.
                                                          0
                                 59
                                    W. N. Anderson, Jr., and R. J. Duffin discovered this formula for the orthogonal projector onto
                                                                           †
                                    an intersection in 1969. They called P M (P M + P N ) P N the parallel sum of P M and P N
                                    because it is the matrix generalization of the scalar function r 1 r 2 /(r 1 + r 2 )= r 1 (r 1 + r 2 ) −1 r 2
                                    that is the resistance of a circuit composed of two resistors r 1 and r 2 connected in parallel.
                                    The simple elegance of the Anderson–Duffin formula makes it one of the innumerable little
                                    sparkling facets in the jewel that is linear algebra.
                                 60
                                    Amore useful integral representation for A D  is given in Exercise 7.9.22 (p. 615).
   440   441   442   443   444   445   446   447   448   449   450