Consider the 3 x 3 matrix A-1-ovvT where a R, 1 is the identity matrix and v the vector (a) Determine the eigenvalues and eigenvectors of A (b) Hence find a matrix which diagonalises A. (c) For which...
(5) Consider the 3 x 3 matrix A = 1-ovyT where the vector E R, 1 is the identity matrix and v (a) Determine the eigenvalues and eigenvectors of A. b) Hence find a matrix which diagonalises A. c) For which a is the matrix A singular? (d) For which a is the matrix A orthogonal ? (5) Consider the 3 x 3 matrix A = 1-ovyT where the vector E R, 1 is the identity matrix and v (a)...
Please show full workings only answer if you know how. (5) Consider the 3 x 3 matrix A - I - avv7 where a e R. I is the identity matrix and v the vector 1S 2 (a) Determine the eigenvalues and eigenvectors of A (b) Hence find a matrix which diagonalises A. (c) For which a is the matrix A singular? (d) For which α is the matrix A orthogonal ? (5) Consider the 3 x 3 matrix A...
Consider the 3 x 3 matrix A defined as follows 7 4-4 a) Find the eigenvalues of A. Is A singular matrix? b) Find a basis for each eigenspace. Then, determine their dimensions c) Find the eigenvalues of A10 and their corresponding eigenspaces. d) Do the eigenvectors of A form a basis for IR3? e) Find an orthogonal matrix P that diagonalizes A f) Use diagonalization to compute A 6
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...
Let 4-β 0 0 A=1 0 4-3 024-β where β > 0 is a parameter. (a) Find the eigenvalues of A (note the eigenvalues will be functions of β). (b) Determine the values of β for which the matrix A is positive definite. Determine the values of β for which the matrix A is positive semidefinite. (c) For each eigenvalue of A, find a basis for the corresponding eigenspace. (d) Find an orthonormal basis for R3 consisting of eigenvectors of...
($ ?) 4 2. (a) Find the eigenvalues and eigenvectors of the matrix 3 Hence or otherwise find the general solution of the system = 4x + 2y = 3x - y 195 marks 5. (a) Give a precise definition of Laplace transform of a function f(t). Use your definition to determine the Laplace transform of 3. Osts 2 6-t, 2 <t f(t) = [20 marks] (b) A logistic initial value problem is given by dP dt kP(M-P), P(0) -...
Consider the differential equation for the vector-valued function x, x = x, A- Find the eigenvalues A, , and their corresponding eigenvectors V, V, of the coefficient matrix A (a) Eigenvalues Au, dy (b) Eigenvector for A, you entered above (c) Eigenvector for A, you entered above: V2 = (d) Use the eigenpairs you found in parts (a)-(C) to find real-valued fundamental solutions to the differential equation above X = X Note: To enter the vector (u, v) type <u,v>...
Problem 2 (Eigenvalues and Eigenvectors). (a) If R2 4 R2 be defined by f(x,y) (y,x), then find all the eigenvalues and eigenvectors of f Hint: Use the matrix representation. (b) Let U be a vector subspace (U o, V) of a finite dimensional vector space V. Show that there exists a linear transformation V V such that U is not an invariant subspace of f Hence, or otherwise, show that: a vector subspace U-0 or U = V, if and...
please answer both a and b Problem 2 (Eigenvalues and Eigenvectors). (a) If R2-R2 be defined by f(x,y) = (y,z), then find all the eigenvalues and eigenvectors of f Hint: Use the matrix representation. (b) Let U be a vector subspace (U o, V) of a finite dimensional vector space V. Show that there exists a linear transformation V V such that U is not an invariant subspace of f. Hence, or otherwise, show that: a vector subspace U-o or...
I need help with parts c and d of this question. Some concept clarification would be great. 3. Consider the following matrix A= 3 6 (a) Compute AAT and its eigenvalues and unit eigenvectors. (b) Find the SVD by computing the matrices U, V, Σ (c) From the u's and v's in (b), write down orthonormal bases for all four fundamental subspaces (i.e., row space, column space, null space, left null space) of the matrix A. (d) Compute the pseudoinverse...