PROBLEM SET Problems on Matrix Exponentials Math 3351, Spring 2011 March 29, 2011 • Write all of your answers on separate sheets of paper. You can keep the question sheet. • You must show enough work to justify your answers. Unless otherwise instructed, give exact answers, not √ approximations (e.g., 2, not 1.414). • This problem et has 3 problems. There are 0 points total. Good luck! These problems assume the use of a TI-89 (or similar) calculator. To find the eigenvalues of a matrix, use the calculator to find the characteristic polynomial and use the solve or csolve functions to find the roots. Use the calculator to find RREFs and powers of matrices. The eigenvalue and eigenvectors functions on the calculator probably won’t work on these problems because they only give approximate answers. Express your answers as fractions, not decimals. In the answers, exp(t) is often used in place of et Problem 1. In each part, you are given a matrix A which is diagonalizable. Find the diagonalization and use it to find etA . If an initial value problem is given, find the solution. A. 2 A = 0 0 B. A= 0 5 0 6 −3 0 0 . 1 4 −1 . Solve the initial value problem x0 (t) = Ax(t) −2 x(0) = c = . 3 C. 0 −492 −1 −264 . 0 −121 122 A = 66 30 D. A= 2 3 −3 2 . Solve the initial value problem x(t) = Ax(t) −3 x(0) = c = . 2 Problem 2. In each part, you are given a nilpotent matrix N . Verify that N is nilpotent and compute etN . 1 A. 1 0 0 537 N = 215 94 257 103 45 0 N = 0 0 B. C. 0 1 . 0 −3656 −1464 −640 336 21 84 84 −1584 −20 928 −416 . N = 79 0 −63 21 −1027 −79 −505 −253 Problem 3. In each part, you are given a matrix A which is (definitely) nondiagonalizable. Show that the matrix is nondiagonalizable and find the Jordan Decomposition A = S + N . Use the Jordan Decomposition to compute etA . If an initial value problem is given, solve the initial value problem. A. 323 −468 1140 88 A = 25 −37 −81 117 −286 Solve the initial value problem x0 (t) = Ax(t) −1 x(0) = c = 1 2 B. 25 12 A= −2 82 C. 1 2 A= 0 0 38 2 20 1 −3 2 130 7 −12 −6 1 −40 −2 1 0 1 0 1 0 1 −2 0 2 1 2