MATH 217 Linear Algebra Homework 8 December 19, 2021 1. For the vector ~v and matrix A given below, determine whether ~v is an eigenvector of A or not. If it is, find the corresponding eigenvalue. 1 1 −1 (a) ~v = , A= . 3 6 −4 −1 5 2 (b) ~v = , A= . 1 3 6 1 3 6 7 (c) ~v = −2, A = 3 2 7. 2 5 6 4 2. For λ and A given below, determine whether λ is an eigenvalue of A or not. If it is, find the corresponding eigenvector. 3 2 (a) λ = 2, A = . 3 8 −1 4 (b) λ = −3, A = . 6 9 3 0 −1 (c) λ = 4, A = 2 3 1 . −3 4 5 4 −2 3 (d) λ = 1, A = 0 −1 3 . −1 2 −2 3. Compute the characteristic polynomials of the following matrices. a 0 0 a c (a) . (b) b c 0 . b d d e f 0 0 −2 1 2 (c) . (d) 0 2 3 . 3 4 6 1 −1 4. Determine the eigenvalues and corresponding eigenvectors of the following 1 0 0 0 3 −1 2 (c) 2 (a) (b) 0 3 −5 −1 2 −2 −1 2 1 5. Let A = 2 matrices. 2 2 0 2 . 2 0 −1 . 4 (a) Show that the characteristic polynomial of A is p(λ) = λ2 − 5λ + 6. (b) Show that A satisfies its characteristic polynomial, that is, A2 − 5A + 6I2 = 02 . (Note that this is known as Cayley-Hamilton Theorem which is true for any n × n matrix.) (c) Use the result in part (b) to determine A−1 . (Hint: Multiply the equation in part (b) by A−1 .) 1 6. If ~v1 = (1, −1) and ~v2 = (2, 1) are eigenvectors of the matrix A corresponding to the eigenvalues λ1 = 2 and λ2 = −3 respectively, find A(3~v1 − ~v2 ). 7. Let A be an n × n invertible matrix. Prove that if λ is a nonzero eigenvalue of A, then 1/λ is an eigenvalue of A−1 . 8. Let A be an n × n matrix. Prove that λ = 0 is an eigenvalue of A if and only if det(A) = 0. 9. Let A be a 4 × 4 matrix with characteristic polynomial p(λ) = λ4 + 2λ3 − 5λ2 + λ. Is A invertible? Explain. Answers 1. (a) Yes, λ = −2. (b) Yes, λ = 3. (c) No. 2. (a) Yes, ~v = t(−2, 1), t ∈ R \ {0}. (b) Yes, ~v = t(−2, 1), t ∈ R \ {0}. (c) Yes, ~v = t(−1, −1, 1), t ∈ R \ {0}. (d) Yes, ~v = t(0, 1, 32 ), t ∈ R \ {0}. 3. (a) λ2 + (−a − d)λ + (ad − bc) = 0. (b) (a − λ)(c − λ)(f − λ) = 0. (c) λ2 − 5λ − 2 = 0. (d) λ3 − λ2 + 10λ − 24 = 0. 4. (a) λ1 = −2 of algebraic multiplicity one, ~v = t(1, 5), t ∈ R \ {0} and λ2 = 4 of algebraic multiplicity one, ~v = t(1, −1), t ∈ R \ {0}. (b)λ = 1 of algebraic multiplicity three, ~v = t(0, −1, 1), t ∈ R \ {0}. (c) λ1 = 4 of algebraic multiplicity one, ~v = r(1, 1, 1), r ∈ R\{0} and λ2 = −2 of algebraic multiplicity two, ~v = s(−1, 1, 0)+t(−1, 0, 1), s, t ∈ R such that s, t are not both zero. 1 4 1 5. (c) A−1 = . 6 −2 1 6. (12, −3). 7. 8. 9. No, because, one of the eigenvalues is zero. Now use the previous problem. 2