5. (Strang 6.1.1) Consider the two matrices: = [:] (4+1)= [ 1 (a) Find the eigenvalues...
Find the eigenvalues and eigenvectors of the following matrices 1) Find the eigenvalues and eigenvectors of the following matrices. -5 4 -2.2 1.4 2 0 -1 2 1-2 3
3. Find all eigenvalues and eigenvectors for the following matrices R= [ { 1]
Q1) Find the Eigenvalues and the Eigenvectors for the following matrices 16
ex 1.3 Ex. 1.3. For the following 3 x 3 matrices find their characteristic equations, their eigenvalues and the corresponding eigenvectors [2 2 11 4 0 1 5 0 1 5 1 (a)2 1 0; (b) 3 1(d) 1(c) 1 1 2 1 1 0 -7 1 -2 0 1 -2 1 2 2 Ex. 1.3. For the following 3 x 3 matrices find their characteristic equations, their eigenvalues and the corresponding eigenvectors [2 2 11 4 0 1 5...
Find the eigenvalues and normalized eigenvectors of the following matrices. Show whether the eigenvectors are orthogonal. (60) (23) (1, 1) (i)
3) (9 points) For each of the following matrices Find the eigenvalues and associated eigenvectors. If possible, state the matrices P and D, such that A = PDP-1. (Hint: P is a matrix containing eigenvectors of A on its columns, and D is a diagonal matrix.) If it is not possible to find P and D, just state so. 11-133b a. A = 1 2 2 1-2 -2 -2 2 0 -1 3] b. A = [1 -4 110 0...
6&7 6. Many applications of matrices in both engineering and science utilize eigenvalues and, some- times, eigenvectors. Control theory, vibration analysis, electric circuits, advanced dynamics and quantum mechanics are just a few of the application areas. In a couple of sentences, give two specific examples of how eigenvalues/eigenvectors are used. You may use an informal search of the Internet. Find all values of a and b such that 1 b -2] L3] is an orthogonal set of vectors.
# 2: Consider the real symmetric matrix A= 4 1 a) What are the eigenvalues and eigenvectors. [Hint: Use wolframalpha.] b) What is the trace of A, what is the sum of the eigenvalues of A. What is a general theorem th c) The eigenvalues of A are real. What is a general theorem which assert conditions that t d) Check that the eigenvectors are real. What is a general theorem which asserts conditions th asserts equality? eigenvalues are real...
Find the characteristic polynomial of matrix A. (II) Find eigenvalues of the matrix A. Consider matrices 2 A= 2 -4 1 and -8 12 -2 3
Please how all work! 1. Find the eigenvalues and corresponding eigenvectors of the following matrices. Also find the matrix X that diagonalizes the given matrix via a similarity transformation. Verify your cal- culated eigenvalues. (4༣). / 100) 1 2 01. [2 -2 3) /26 -2 2༽ 2 21 4]. [42 28) ( 15 -10 -20 =4 12 4 -3) -6 -2/ . 75-3 13) 0 40 , [-7 9 -15) /10 4) [ 0 20L. [3 1 -3/