4. (15 pts Consider the following direction fields IV VI (5 pts)Which of the direction fields corresponds to the system x -Ax, where A is a 2x2 matrix with eigenvalues λ,--1 and λ2-2 and corresponding eigenvectors vand v- 1? a. is a 2x2 matrix with repeated eigenvalue λ = 0 with defect 1 (has only one linearly independent eigenvector, not two.) and corresponding eigenvector vi- 13 (5 pts) Which of the direction fields corresponds to the system x -Cx, where...
5. Let B be the following matrix in reduced row-echelon form: 1 B= 1 -1 0-1 0 0 2 0 0 0 0 0 0 0 0 (a) (3 pts) Let C be a matrix with rref(C) = B. Find a basis of ker(C). (b) (3 pts) Find two matrices A1 and A2 so that rref(A1) = rref(A2) im(A) # im(A2). B, and 1 (c) (5 pts) Find the matrix A with the following properties: rref(A) = B, is an...
6. (20") Given the 3 x 3 matrix A- 20 00 (a) compute A'A. (b) find all eigenvalues of AA and their associated eigenwectors (c) write down all singular values of A in descending order (d) find the singular-value decomposition(SVD) A-UEV"
3. Consider the following 3 × 2 matrix: Го -2 0 (a) (By hand.) Find the singular value decomposition (SVD) of A. (b) (By hand.) Find the outer product form of the SVD of A. c) (By hand.) Compute (using singular values) A 2 3. Consider the following 3 × 2 matrix: Го -2 0 (a) (By hand.) Find the singular value decomposition (SVD) of A. (b) (By hand.) Find the outer product form of the SVD of A. c)...
8. Consider the real matrix As -1 0 (a) (3 pts) Find the singular values of A. (b) (4 pts) Find a singular value decomposition of A. (c) (3 pts) Find 8. Consider the real matrix As -1 0 (a) (3 pts) Find the singular values of A. (b) (4 pts) Find a singular value decomposition of A. (c) (3 pts) Find
6. (20') Given the 3 x 3 matrix A= 0 0 1 0 2 0 4 0 0 (a) compute ATA. (b) find all eigenvalues of ATA and their associated eigenvectors. (c) write down all singular values of A in descending order. (d) find the singular-value decomposition(SVD) A = UEVT. (e) based on the above calculation, write down the SVD for the following matrix B. (You can certainly perform all the work again if you have sufficient time but do...
Problem 12 Let B be the matrix given by A= 4 0 b b (a + b) 26 a a where a and b are indeterminates. a) (6 pts] Using row operations that exist for all values of a or b, together with cofactor expansion, compute the determinant of A expressed as a function of a and b. b) (4 pts] Use this to determine a relation between a and b that provides necessary and sufficient conditions for the matrix...
Let A, B,C be matrices with the singular value decompositions 1. A-(4/5-3/5) ( 0 0 1 0 2 0 0 0 100 1叭-1/2 V3/2 2. B=11 00110 2 113 0 01 0 TO V3 V3 V3 a. Find the characteristic polynomials and eigenvalues of AA" and ATA, BBT and BTB, CCTand CTC. b. Find the largest possible value of IlAvILBvICvll, for the corresponding unit vectors v. c. Sketch the image, under A, B, C, of the unit sphere in the...
Let A be the matrix below. Find the singular values of A and enter them as a comma-separated list. Use these to find a singular value decomposition A= ULV. Use the square root symbol 'V' where needed to give an exact value for your answer. 10 A= -5 -2 [01] Singular values: ??? To 0 0 0 0 0 T0 0 0] A = 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0...
2. (5 pts) Assume A E Rm** with m > n has (full) rank n. Show that At = (ATA)TAT, What is the pseudo-inverse of a vector u R" regarded as an m x 1 matrix? 3. (5 pts) Let B AT where A is the matrix in Problem 1. Use Matlab to find the singular value decomposition and the Moore-Penrose pseudo-inverse of B. Then solve minimum-norm least squares problem minl-ll : FE R minimizes IBr-ey where c- [1,2. Compare...