Explain how to find the eigenvalues of the following 2 x 2 matrix: -11 40 -27
Consider a 2 x 2 matrix A that has eigenvalues 11 -2 and A2 = 5. Find the eigenvalues of A², A- and A - 21. Is the matrix A + 21 invertible? Explain. Suppose that A is a 10 x 10 matrix and that Avi V1 Av2 = 202, x = 2v1 - 02 Find real numbers a, 8 such that A’x = av. + 802
Explain, in words, how to find eigenvalues of an n x n matrix B.
8. Find the (real) eigenvalues and eigenvectors of the following matrix: [27 7 2
2. A 5 x 5 matrix of real numbers, A s found to have the following eigenvalues (a) Explain why A is, or is NOT, diagonalizable. (b Explain why A is, or is NOT, inzertibie. 2. A 5 x 5 matrix of real numbers, A s found to have the following eigenvalues (a) Explain why A is, or is NOT, diagonalizable. (b Explain why A is, or is NOT, inzertibie.
8. Find a symmetric 3 x 3 matrix with eigenvalues 11, 12 , and , 13 and corresponding orthogonal eigenvectors vi , V2 , and V3 1 11 = 1, 12 = 2, 13 = 3, vi -=[:)--[:)--[;)] 1
11. Find the eigenvalues and corresponding eigenvectors of the following matrix using Jacobi's method. [1 / 2 A= V2 3 2 1 2 2 1
0 -2 - The matrix A -11 2 2 -1 has eigenvalues 5 X = 3, A2 = 2, 13 = 1 Find a basis B = {V1, V2, v3} for R3 consisting of eigenvectors of A. Give the corresponding eigenvalue for each eigenvector vi.
The matrix has eigenvalues 11 = -7 and 12 = 2. Find eigenvectors corresponding to these eigenvalues. and v2 = help (matrices) Find the solution to the linear system of differential equations * = -25x - 18y y = 27x + 20y satisfying the initial conditions (0) = 4 and y0) = -5. help (formulas) help (formulas)
Find the matrix A that has the given eigenvalues and corresponding eigenvectors. Find the matrix A that has the given eigenvalues and corresponding eigenvectors. 2 A= Find the matrix A that has the given eigenvalues and corresponding eigenvectors. 2 A=
2. Consider the matrix (a) By hand, find the eigenvalues and eigenvectors of A. Please obtain eigenvectors of unit length. (b) Using the eigen function in R, verify your answers to part (a). (c) Use R to show that A is diagonalizable; that is, there exists a matrix of eigenvectors X and a diagonal matrix of eigenvalues D such that A XDX-1. The code below should help. eig <-eigen(A) #obtains the eigendecomposition and stores in the object "eig" X <-eigSvectors...