A =
A^t =
A^t * A
A^T A =
AA^T
AA^T =
A^T A matrix is 3x3
and AA^T matrix is 2x2
Find ATA and AAT for the following matrix. 4-1-4-6 31 2 -5 4 AAT = What...
Find ATA and AAT. A = -1 1 0 2 24 (a) AA E (b) AAT Which of the products are symmetric? (Select all that apply.) SATA LAAT
1 01 4. Let A 11. (a) Find ATA, (b) find det (AAT). [10 points 1 2 3 0 5. Calculate the determinant of D 03 [10 points 0 2 0 7 2 1 1 6. Find the inverse of A 1 3 using the method in section 5.3. 10 points
(5) Let A be some 4 x 6-matrix. Explain why AAT and AT A are defined. What are the sizes of these matrices?
(4) The following is the singular value decomposition of a 3 x 4 matrix A with some entries not given 1/3 -2/V5 1/v5 2/3 2/3 3 0 12/13 5/13 3/5 4/5 5/13 12/13 0 0 A 0 2 0 0 0 0 0 0 0 (a) What are the eigenvalues of AAT? of ATA? What is the rank of A? 1 2 (b) Find a non-zero vector w such that AAT = 9w. such that ATAu 4u. (c) Find a...
(2) Find a matrix A such that P = A (ATA) AT is the projection matrix onto the null space of ſi 3 0 LO 0 1 -21 5 ]
For the 3×2 matrix A: a) Determine the eigenvalues of ATA, and confirm that your eigenvalues are consistent with the trace and determinant of ATA. b) Find an eigenvector for each eigenvalue of ATA. c) Find an invertible matrix P and a diagonal matrix D such that P-1(ATA)P = D. d) Find the singular value decomposition of the matrix A; that is, find matrices U, Σ, and V such that A = UΣVT. e) What is the best rank 1...
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...
2. Let A be any matrix and let B= AAT a. Use a 2x2 matrix A, to verify that B is symmetric. b. Write one-line proof to show that B is symmetric. Do not use part a. 3. Using Gaussian Elimination, solve the homogeneous system 2x1 + x2 – 3x3 = 0 - x2 - 4x2 + 3x3 = 0 2 1 -3 oli +3707 1-4 3lol 1-4 30
I need help with this question. Some 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 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
[4 points (a) Find the inverse of the matrix A= -1 2 2 3 -6 -5 2 -3 -4 using row operations. -1 + + 2.63 (b) Use your answer in part (a) to solve the system + 3.02 6.62 502 2 and state what the answer 21 2.1 9 1 means about the intersection of the 3 planes.