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3.10 The LU Factorization                                                          157

                                   3.10.7. A n×n is called a band matrix if a ij = 0 whenever |i − j| >w for
                                           some positive integer w, called the bandwidth. In other words, the
                                           nonzero entries of A are constrained to be in a band of w diagonal lines
                                           above and below the main diagonal. For example, tridiagonal matrices
                                           have bandwidth one, and diagonal matrices have bandwidth zero. If
                                           A is a nonsingular matrix with bandwidth w, and if A has an LU
                                           factorization A = LU, then L inherits the lower band structure of A,
                                           and U inherits the upper band structure in the sense that L has “lower
                                           bandwidth” w, and U has “upper bandwidth” w. Illustrate why this
                                           is true by using a generic 5 × 5 matrix with a bandwidth of w =2.

                                    3.10.8.  (a) Construct an example of a nonsingular symmetric matrix that
                                                  fails to possess an LU (or LDU) factorization.
                                             (b)  Construct an example of a nonsingular symmetric matrix that
                                                  has an LU factorization but is not positive definite.


                                                                                            
                                                                                    1   4   5
                                    3.10.9.  (a) Determine the LDU factors for A =    41826    (this is the
                                                                                    31630
                                                  same matrix used in Exercise 3.10.1).
                                             (b)  Prove that if a matrix has an LDU factorization, then the LDU
                                                  factors are uniquely determined.
                                             (c)  If A is symmetric and possesses an LDU factorization, explain
                                                                                 T
                                                 why it must be given by A = LDL .

                                                                      
                                                             1   2   3
                                  3.10.10. Explain why A =    2  8  12    is positive definite, and then find the
                                                             31227
                                           Cholesky factor R.
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