Determine the following statements true or false
(1) A linear operator A ∈ L(V) is similar to a diagonal matrix with eigenvalues on the diagonal if A is invertible.
(2) Let A ∈ L(V). Then V = ελ1+...+ελk where λ1, ... ,λk are all distinct eigenvalues of A
(3) Let A ∈ L(V). and λ be an eigenvalue of A. Then its eigenspace ελ is a subspace of its generalized eigenspace gελ
True False a) For nxn A, A and AT can have different eigenvalues. b) The vector v 0 cannot be an eigenvector of A. c) If λ's an eigenvalue of A, then λ2 is an eigenvalue of A2. True False d) If A is invertible, then A is diagonalizable. e) If nxn A is singular, then Null(A) is an eigenspace of A. f) For nxn A, the product of the eigenvalues is the trace of A. True False g) If...
True or false. Please justify why true or why false also (I) A square matrix with the characteristic polynomial 14 – 413 +212 – +3 is invertible. [ 23] (II) Matrix in Z5 has two distinct eigenvalues. 1 4 (III) Similar matrices have the same eigenspaces for the corresponding eigenvalues. (IV) There exists a matrix A with eigenvalue 5 whose algebraic multiplicity is 2 and geo- metric multiplicity is 3. (V) Two diagonal matrices D1 and D2 are similar if...
(1) (5 marks) True or False? Justify your answer. Answers without correct justification will receive no credit. (1) A square matrix with the characteristic polynomial X - 413 +212 - +3 is invertible. [23] (II) Matrix in Zs has two distinct eigenvalues. (III) Similar matrices have the same eigenspaces for the corresponding eigenvalues. (IV) There exists a matrix A with eigenvalue 5 whose algebraic multiplicity is 2 and geo- metric multiplicity is 3. (V) Two diagonal matrices Dand D2 are...
Question 4: Eigenvalue Theory 2 Let A Cnxn. For each of the following statements show that it is true or give a counterexample to show that it is false (a) If λ is an eigenvalue of A, and μ є Cn then λ-μ is an eigenvalue of A-1 (b) If A is real and λ is an eigenvalue of A then so is-λ. (c) If A is real and λ is an eigenvalue of A, then so is λ. (d)...
linear algebra question 2. (5' each) Give short answers: (a) True or false: If Ai-Adi for some real number λ, then u is an eigenvector of matrix A. If a square matrix is diagonalizable, then it has n distinct real eigenvalues. Two vectors of the same dimension are linearly independent if and only if one is not a multiple of the other. If the span of a set of vectors is R", then that set is a basis of R...
With explanation and examples (a) True or False: If vy is an eigenvector of A with eigenvalue A, then v\ is also an eigenvector of A2 3-13. (b) True or False: If vx is an eigenvector of A with eigenvalue X and A is invertible, then va is also an eigenvector of A-1. (c) It is known that the product of the eigenvalues of a square matrix is the determinant of that matrix. True or False: A matrix with a...
Determine, with justification, whether each of the following statements is true or false. (a) IfV is a vector space and S, and S2 are two bases of V, then Si U S2 is a basis of V. (b) Let A and B ne matrices of the same size. If A and B have the same row space, then they have the same column space. (c) Let M be an n x n square matrix. If M has less than n...
3. For each of the following statements decide if it is true or false. If it is true, prove it. If it is false, give an example for which it does not hold. (a) If is an eigenvalue of the (n, n)-matrix A, then 2 - 31+ 512 is an eigenvalue of 21_n - 3A + 5A2 (b) The complex vector V1 = (1 + 1,0,1) is an eigenvector of the matrix [ 2 0 -4 ] A= | 0...
Review 4: question 1 Let A be an n x n matrix. Which of the below is not true? A. A scalar 2 is an eigenvalue of A if and only if (A - 11) is not invertible. B. A non-zero vector x is an eigenvector corresponding to an eigenvalue if and only if x is a solution of the matrix equation (A-11)x= 0. C. To find all eigenvalues of A, we solve the characteristic equation det(A-2) = 0. D)....
Part A. (True/False Questions) (15 pts). Decide if the given statement is true or false. (Justify briefly your answer) 1. The eigenvalues of the matrix A = -5 6 are: 5 and -4. O True False 2. Let A= 2 -4 be a square matrix. The vector v= [ is an eigenvector of the matrix A. 2 True False 3. If I = -4 is an eigenvalue of a 5 x 5 matrix A, then Av = -4v for any...