Homework Answers
6. (20") Given the 3 x 3 matrix A- 20 00 (a) compute A'A. (b) find...
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"
True or False? 1. If σ is a singular value of a matrix A, then σ is an eigenvalue of ATA Answer: 2. Every matrix has the same singular values as its transpose Answer: 3. A matrix has a pseudo-inverse...
True or False?
1. If σ is a singular value of a matrix A, then σ is an eigenvalue of ATA Answer: 2. Every matrix has the same singular values as its transpose Answer: 3. A matrix has a pseudo-inverse if and only if it is not invertible. Answer: 4. If matrix A has rank k, then A has k singular values Answer:_ 5. Every matrix has a singular value decomposit ion Answer:_ 6. Every matrix has a unique singular...
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 (usi...
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)...
IV. Let (10 pts) A= TO0] 4 0 , [ 00] B= 54 0] 3 5....
IV. Let (10 pts) A= TO0] 4 0 , [ 00] B= 54 0] 3 5. [55] a) Give the reduced SVD decomposition of the matrix A. b) Give the full SVD decomposition of the matrix A. c) Show that 01 = 90 is a singular value of B and find any other singular values if they exist. d) Show that vi = is an eigenvector of B* B corresponding to the singular value 01. e) Give the reduced SVD...
Let A be the matrix To 1 0] A= -4 4 0 1-2 0 1 (a)...
Let A be the matrix To 1 0] A= -4 4 0 1-2 0 1 (a) Find the eigenvalues and eigenvectors of A. (b) Find the algebraic multiplicity an, and the geometric multiplicity, g, of each eigenvalue. (c) For one of the eigenvalues you should have gi < az. (If not, redo the preceding parts!) Find a generalized eigenvector for this eigenvalue. (d) Verify that the eigenvectors and generalized eigenvectors are all linearly independent. (e) Find a fundamental set of...
For the 3×2 matrix A: a) Determine the eigenvalues of ATA, and confirm that your eigenvalues...
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...
(4) The following is the singular value decomposition of a 3 x 4 matrix A with...
(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...
I'm looking for specific insight on 2c. I'm not sure how to identify these vectors at...
I'm looking for specific insight on 2c. I'm not sure
how to identify these vectors at all based on what I've calculated
so far. Thank you!
Problems 1-2 compute the SVD of a square singular matrix A. 1. Compute ATA and its eigenvalues o, 0 and unit eigenvectors V1, V2: 1 4 A = 2 8 2. (a) Compute AAT and its eigenvalues o, 0 and unit eigenvectors un, u2. (b) Choose signs so that Avi = 01u1 and verify...
Q2. Consider the matrix A 6 3 0 -1 0-2 0 5 (a) Find all eigenvalues...
Q2. Consider the matrix A 6 3 0 -1 0-2 0 5 (a) Find all eigenvalues of the matrix A. (b) Find all eigenvectors of the matrix A. (c) Do you think that the set of the eigenvectors of A is a basis for the vector space R3? (Justify your answer
Consider the 3 x 3 matrix A defined as follows 7 4-4 a) Find the eigenvalues...
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
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"
True or False?
1. If σ is a singular value of a matrix A, then σ is an eigenvalue of ATA Answer: 2. Every matrix has the same singular values as its transpose Answer: 3. A matrix has a pseudo-inverse if and only if it is not invertible. Answer: 4. If matrix A has rank k, then A has k singular values Answer:_ 5. Every matrix has a singular value decomposit ion Answer:_ 6. Every matrix has a unique singular...
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)...
IV. Let (10 pts) A= TO0] 4 0 , [ 00] B= 54 0] 3 5. [55] a) Give the reduced SVD decomposition of the matrix A. b) Give the full SVD decomposition of the matrix A. c) Show that 01 = 90 is a singular value of B and find any other singular values if they exist. d) Show that vi = is an eigenvector of B* B corresponding to the singular value 01. e) Give the reduced SVD...
Let A be the matrix To 1 0] A= -4 4 0 1-2 0 1 (a) Find the eigenvalues and eigenvectors of A. (b) Find the algebraic multiplicity an, and the geometric multiplicity, g, of each eigenvalue. (c) For one of the eigenvalues you should have gi < az. (If not, redo the preceding parts!) Find a generalized eigenvector for this eigenvalue. (d) Verify that the eigenvectors and generalized eigenvectors are all linearly independent. (e) Find a fundamental set of...
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...
(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...
I'm looking for specific insight on 2c. I'm not sure
how to identify these vectors at all based on what I've calculated
so far. Thank you!
Problems 1-2 compute the SVD of a square singular matrix A. 1. Compute ATA and its eigenvalues o, 0 and unit eigenvectors V1, V2: 1 4 A = 2 8 2. (a) Compute AAT and its eigenvalues o, 0 and unit eigenvectors un, u2. (b) Choose signs so that Avi = 01u1 and verify...
Q2. Consider the matrix A 6 3 0 -1 0-2 0 5 (a) Find all eigenvalues of the matrix A. (b) Find all eigenvectors of the matrix A. (c) Do you think that the set of the eigenvectors of A is a basis for the vector space R3? (Justify your answer
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
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