Question 1 (Eigenvalue method) Question 1. Find the general solution of the homogeneous linear system below using the eigenvalue method. 1 7-(33) 7 1
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- For what values of a does the matrix A=[01a1] have the characteristics below? a A has eigenvalue of multiplicity 2. b A has 1 and 2 as eigenvalues. c A has real eigenvalues.CAPSTONE Explain how to determine whether an nn matrix A is diagonalizable using a similar matrices, b eigenvectors, and c distinct eigenvalues.Find all values of the angle for which the matrix A=[cossinsincos] has real eigenvalues. Interpret your answer geometrically.
- Let 1 A = -2 1 Consider the system of equations = A. (a) Find all eigenvalues of A. (b) Show that 7 = 0 is the only equilibrium solution of the system. %3D (c) Determine whether 7 Ở is a node, or a saddle, or a spiral point. (d) Determine the stability of 7 = 0. 2.How do we calculate eigenvectors for repeated eigenvalues and how is it different from how we calculate eigenvectors when we have two roots produced from the characteristic polynomial? For example, in the picture, we have a coefficient matrix for a system of linear differential equations. We calculate that the repeated eigenvalue is 2, and we would solve the equation (A minus lambda) times Z is equal to zero as shown in the other picture. This should give us the vector [1, 1] for our first eigenvector. But how would we use this to solve for the second eigenvector to get two linearly independent solutions?V2 -V2 -V2/2 V2/2 -1 1 1 A = -1 You should be able to complete each step by hand. (a) Find the eigenvalues of A" A, A1 > A2 > A3 2 0. (b) Find a complete orthonormal set of eigenvectors {v1, v2, V3}, where v; is an eigen- vector for Ai. (c) Set up the 4 × 3 matrix E with Ei = 0; = VA; (the ith singular value) and all other Eiji = 0. (d) Find u; the left singular vectors. Recall u; = Av; for i = 1,2,3 and u4 is a basis for NS(A"). (e) Let U = [ui u2 u3 u4] and V = [v1 v2 v3]. (f) Verify that A = UEVT. This all works out very nicely for this carefully chosen matrix A.