1. The matrix A is factored in the form PDP-1. USe the Diagonalization Theorem to find...
Matrix A is factored in the form PDP Use the Diagonalization Theorem to find the eigenvalues of A and a basis for each eigenspace. 1 1 1 2 2 1 2 4 2 2 8 5 0 0 A= 1 2 2 = 2 0-2 0 1 0 1 4 1 4 1 2 1 1 3 2 -1 0 0 0 1 1 8 3 1 4 Select the correct choice below and fill in the answer boxes to...
I 5.3: Diagonalization Find the diagonal matrix D and invertible matrix P such that A- PDp-1 if possible. If it is not possibl which eigenspace(s) are to blame. e, eosplain A-1 2 1 3 -1 A 1 1 1 5 0 3 A- 0 2 0 し406 5.3: Diagonalization Find the diagonal matrix D and invertible matrix P such that A- PDp-1 if possible. If it is not possibl which eigenspace(s) are to blame. e, eosplain A-1 2 1 3...
Matrix A is factored in the form PDP-1 where 1. what are the eigenvalues of A and what are the dimensions of the corresponding eigenspaces?
Find the eigenvalues of the given matrix. [-14 -6 36 16 1) A) -2.-4 B)-4 C)-2 D) -24 The characteristic polynomial of a 5 5 matrix is given below. Find the eigenvalues and their multiplicities 2) A5 - 24A4-189A3-486A2 2) A) 0 (multiplicity 2),-9 (multiplicity 2),-6 (multiplicity 1) B) 0 (multiplicity 1),9 (multiplicity 3), 6 (multiplicity ) C) 0 (multiplicity 2),9 (multiplicity 2),6 (multiplicity 1) D) 0 (multiplicity 2),-9 (multiplicity 2),6 (multiplicity 1) Diagonalize A- PDP-1 the matrix A, if...
4. Find all the eigenvalues and eigenvectors of the following 3 by 3 matrix. If it is possible to diagonalized, then diagonalize the matrix. If it is not possible to diagonalize, then explain why? Show all the work. (20 points) 54 -5 A = 1 0 LO 1 1 - 1 -1
Test Test 3 (Chapters 5-6, and Cumulative) 3 of 30 (0 complete) Time Remaining : 01 25:53 S Matrix A is factored in the form PDP. Use the Diagonalization Theorem to find the eigenvalues of A and a basis for each eigenspace. 1 1 1 4. 2 2 1 2 1 2 500 A= 1 3 1 = 2 0 1 1 1 3 0 1 0 Select the correct choice below and fill in the answer boxes to complete...
Please help! Also need part (f) at the bottom! In Math 220 you learned diagonalization of a matrix A in the context of a formula A - PDP-1. In this problem we explore the meaning of that formula. Suppose that T E L(F) is defined by Tv - Av, where A- 0 1 0. In Non-homework 8.5, you showed that this T is diagonalizable. In particular, you showed that B- (1,0, 0), (-1,1,2), (1,0,-3) is a basis of F3 consisting...
Let matrix M = -8 -24 -12 0 4 0 6 12 10 (a) Find the eigenvalues of M (b) For each eigenvalue λ of M, find a basis for the eigenspace of λ. (c) Is the matrix M diagonalizable? If so, find matrices D and P such that D is a diagonal matrix and M=PDP^−1. If not, explain carefully why not.
Let matrix M = -8 -24 12 0 4 0 6 12 10 (a) Find the eigenvalues of M (b) For each eigenvalue λ of M, find a basis for the eigenspace of λ. (c) Is the matrix M diagonalizable? If so, find matrices D and P such that D is a diagonal matrix and M=PDP−1. If not, explain carefully why not.
Let A be an n x n matrix. Then we know the following facts: 1) IfR" has a basis of eigenvectors corresponding to the matrix A, then we can factor the matrix as A = PDP-1 2) If ) is an eigenvalue with algebraic multiplicity equal to k > 1, then the dimension of the A-eigenspace is less than or equal to k. Then if the n x n matrix A has n distinct eigenvalues it can always be factored...