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Let 4-β 0 0 A=1 0 4-3 024-β where β > 0 is a parameter. (a) Find the eigenvalues of A (note the eigenvalues will be functions of β). (b) Determine the values of β for which the matrix A is positiv...
Corresponding eigenvectors of each eigenvalue 9 Let 2. (as find the eigenvalues of A GA 1...
Corresponding eigenvectors of each eigenvalue 9 Let 2. (as find the eigenvalues of A GA 1 -- 1 and find the or A each 5 Find the corresponding eigenspace to each eigen value of A. Moreover, Find a basis for The Corresponding eigenspace (c) Determine whether A is diagonalizable. If it is, Find a diagonal matrix ) and an invertible matrix P such that p-AP=1
4. Let E) 6 3 0 [8 Marks] 3 6 0 A = 0 0 11...
4. Let E) 6 3 0 [8 Marks] 3 6 0 A = 0 0 11 a) Find the eigenvalues of A b) For each eigenvalue of A, find a basis for the corresponding eigenspace. c) Consider the linear transformation T : R3 -> R3 defined by T(x) = Ax for every xE R3. Find a basis of R3 in which the matrix representing T is diagonal
1. Let A(?) := 2 ? ? 2 , where ? is a parameter. Find the...
1. Let A(?) := 2 ? ? 2 , where ? is a parameter. Find the values
of ? for which the matrix A(?) is positive definite. Find the
values of ? for which the matrix A(?) is positive
semidefinite.
1. Let 2 where ? is a parameter. Find the values of ? for which the matrix A(3) is positive definite. Find the values of ? for which the matrix A(3) is positive semidefinite.
0 -2 - The matrix A -11 2 2 -1 has eigenvalues 5 X = 3,...
0 -2 - The matrix A -11 2 2 -1 has eigenvalues 5 X = 3, A2 = 2, 13 = 1 Find a basis B = {V1, V2, v3} for R3 consisting of eigenvectors of A. Give the corresponding eigenvalue for each eigenvector vi.
1. Consider the matrix (a) Find the characteristic polynomial and eigenvalues of A (b) Find a...
1. Consider the matrix (a) Find the characteristic polynomial and eigenvalues of A (b) Find a basis for the eigenspace corresponding to each eigenvalue of A. (c) Find a diagonalization of A. That is, find an invertible matrix P and a diagonal matrix such that A - POP! (d) Use your diagonalization of A to compute A'. Simplify your answer.
Consider the matrix (1 0 0 0 1 1 0 1 1). (a) Find the eigenvalues....
Consider the matrix (1 0 0 0 1 1 0 1 1). (a) Find the eigenvalues. (b) Find the corresponding orthonormal eigenvectors. (c) Compare the sum of the eigenvalues and the sum of the diagonal elements.
) Let A be the following matrix: 13 0 2 0 2 2 0 0 6...
) Let A be the following matrix: 13 0 2 0 2 2 0 0 6 (a) Enter its characteristic equation below. Note you must use p as the parameter instead of , and you must enter your answer as a equation, with the equals sign. (b) Enter the eigenvalues of the matrix, including any repetition. For example 16,16,24. 5 (c) Find the eigenvectors, and then use Gram-Schmidt to find an orthonormal basis for each eigenvalue's eigenspace. Build an orthogonal...
Review 4: question 1 Let A be an n x n matrix. Which of the below...
Review 4: question 1 Let A be an n x n matrix. Which of the below is not true? A. A scalar 2 is an eigenvalue of A if and only if (A - 11) is not invertible. B. A non-zero vector x is an eigenvector corresponding to an eigenvalue if and only if x is a solution of the matrix equation (A-11)x= 0. C. To find all eigenvalues of A, we solve the characteristic equation det(A-2) = 0. D)....
(a) Find the eigenvalues of the matrix 4) 2 1' and find an eigenvector corresponding to each eigenvalue. Hence find an invertible matrix, P, and a diagonal matrix, D, such that P-1AP = D. (b) Use...
(a) Find the eigenvalues of the matrix 4) 2 1' and find an eigenvector corresponding to each eigenvalue. Hence find an invertible matrix, P, and a diagonal matrix, D, such that P-1AP = D. (b) Use your result from (a) to find the functions f(t) and g(t) such that f(t)-f(t) +2g(t) g(t) 2f(t) g(t), where f(0)-1 and g(0)-2 (c) Now suppose that f(0)-α and g(0) β. Determine the condition(s) on α and β that must hold if, as t,t is...
5. Let (a) (2 marks) Find all eigenvalues of A (b) (4 marks) Find an orthonormal basis for each e...
5. Let (a) (2 marks) Find all eigenvalues of A (b) (4 marks) Find an orthonormal basis for each eigenspace of A (you may find an orthonormal basis by inspection or use the Gram-Schmidt algorithm on each eigenspace) (c) (2 marks) Deduce that A is orthogonally diagonalizable. Write down an orthogonal matrix P and a diagonal matrix D such that D P-AP. (d) (1 mark) Use the fact that P is an orthogonal matrix to find P-1 (e) (2 marks)...
Corresponding eigenvectors of each eigenvalue 9 Let 2. (as find the eigenvalues of A GA 1 -- 1 and find the or A each 5 Find the corresponding eigenspace to each eigen value of A. Moreover, Find a basis for The Corresponding eigenspace (c) Determine whether A is diagonalizable. If it is, Find a diagonal matrix ) and an invertible matrix P such that p-AP=1
4. Let E) 6 3 0 [8 Marks] 3 6 0 A = 0 0 11 a) Find the eigenvalues of A b) For each eigenvalue of A, find a basis for the corresponding eigenspace. c) Consider the linear transformation T : R3 -> R3 defined by T(x) = Ax for every xE R3. Find a basis of R3 in which the matrix representing T is diagonal
1. Let A(?) := 2 ? ? 2 , where ? is a parameter. Find the values
of ? for which the matrix A(?) is positive definite. Find the
values of ? for which the matrix A(?) is positive
semidefinite.
1. Let 2 where ? is a parameter. Find the values of ? for which the matrix A(3) is positive definite. Find the values of ? for which the matrix A(3) is positive semidefinite.
0 -2 - The matrix A -11 2 2 -1 has eigenvalues 5 X = 3, A2 = 2, 13 = 1 Find a basis B = {V1, V2, v3} for R3 consisting of eigenvectors of A. Give the corresponding eigenvalue for each eigenvector vi.
1. Consider the matrix (a) Find the characteristic polynomial and eigenvalues of A (b) Find a basis for the eigenspace corresponding to each eigenvalue of A. (c) Find a diagonalization of A. That is, find an invertible matrix P and a diagonal matrix such that A - POP! (d) Use your diagonalization of A to compute A'. Simplify your answer.
Consider the matrix (1 0 0 0 1 1 0 1 1). (a) Find the eigenvalues. (b) Find the corresponding orthonormal eigenvectors. (c) Compare the sum of the eigenvalues and the sum of the diagonal elements.
) Let A be the following matrix: 13 0 2 0 2 2 0 0 6 (a) Enter its characteristic equation below. Note you must use p as the parameter instead of , and you must enter your answer as a equation, with the equals sign. (b) Enter the eigenvalues of the matrix, including any repetition. For example 16,16,24. 5 (c) Find the eigenvectors, and then use Gram-Schmidt to find an orthonormal basis for each eigenvalue's eigenspace. Build an orthogonal...
Review 4: question 1 Let A be an n x n matrix. Which of the below is not true? A. A scalar 2 is an eigenvalue of A if and only if (A - 11) is not invertible. B. A non-zero vector x is an eigenvector corresponding to an eigenvalue if and only if x is a solution of the matrix equation (A-11)x= 0. C. To find all eigenvalues of A, we solve the characteristic equation det(A-2) = 0. D)....
(a) Find the eigenvalues of the matrix 4) 2 1' and find an eigenvector corresponding to each eigenvalue. Hence find an invertible matrix, P, and a diagonal matrix, D, such that P-1AP = D. (b) Use your result from (a) to find the functions f(t) and g(t) such that f(t)-f(t) +2g(t) g(t) 2f(t) g(t), where f(0)-1 and g(0)-2 (c) Now suppose that f(0)-α and g(0) β. Determine the condition(s) on α and β that must hold if, as t,t is...
5. Let (a) (2 marks) Find all eigenvalues of A (b) (4 marks) Find an orthonormal basis for each eigenspace of A (you may find an orthonormal basis by inspection or use the Gram-Schmidt algorithm on each eigenspace) (c) (2 marks) Deduce that A is orthogonally diagonalizable. Write down an orthogonal matrix P and a diagonal matrix D such that D P-AP. (d) (1 mark) Use the fact that P is an orthogonal matrix to find P-1 (e) (2 marks)...
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