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2. Consider the vector and the matrix A0 1 2 34ER3x5 0 0 1 3 6 a) (2 marks) Determine the nullspa...
2. Consider the vector 1l and the matrix A 0 1 2 3 4 R35 0 0 1 3 6 a) (2 marks) Determine the nullspace of A. b) (3 marks) Express b as the sum of a vector in the nullspace of A and a vector orthogonal to the nullspace of A. END OF QUESTIONS
(5) Consider the 3 x 3 matrix A = 1-ovyT where the vector E R, 1 is the identity matrix and v (a) Determine the eigenvalues and eigenvectors of A. b) Hence find a matrix which diagonalises A. c) For which a is the matrix A singular? (d) For which a is the matrix A orthogonal ? (5) Consider the 3 x 3 matrix A = 1-ovyT where the vector E R, 1 is the identity matrix and v (a)...
Consider the 3 x 3 matrix A-1-ovvT where a R, 1 is the identity matrix and v the vector (a) Determine the eigenvalues and eigenvectors of A (b) Hence find a matrix which diagonalises A. (c) For which a is the matrix A singular? (d) For which α is the matrix A orthogonal ? Consider the 3 x 3 matrix A-1-ovvT where a R, 1 is the identity matrix and v the vector (a) Determine the eigenvalues and eigenvectors of...
Given the matrix A = 1 0 −1 1 3 2 6 −1 0 7 −1 6 2 −3 −2 b) If W = span{[1,0,−1,1,3], [2,6,−1,0,7], [−1,6,2,−3,−2]}, find a basis for the orthogonal complement W⊥ of W. c) Construct an orthogonal basis for col(A) containing vector [1 2 −1] . d) Find the projection of the vector v =[−3 3 1] onto col(A). Please show all work and steps clearly so I can follow your logic and learn...
[15 marks] b) Consider the following matrix: IT 2 0 -17 A = |2 6 -3 -38 3 10 -6 -5| i) Find the rank of A ii) Find a basis for the null-space of A iii) Find a basis for the row space of A [10 marks]
3. Determine if the matrix is whether Hurwitz, Schur or neither. 01 . A=I-0.1 a. A0 0.1 b. A=10-2 c, A=12 1 -0.1 0 3. Determine if the matrix is whether Hurwitz, Schur or neither. 01 . A=I-0.1 a. A0 0.1 b. A=10-2 c, A=12 1 -0.1 0
Problem #10: [3 marks] Let A be a 4 x 3 matrix. Consider the following statements. (i) The set consisting of all of the row vectors of the reduced row.echelon form of A is a basis for the rowspace of A. (ii) The row space of A is a subspace of R. (iii) The vector (0,0,0)' is in the nullspace of A. Determine which of the above statements are always True (1) or may be False (2). So, for example,...
Question 3) (8 points) Consider the following matrix: A= ſi 4 0 0 28 3 12 2 11 -5 5 6 0 8 1 (a) Find a basis for the Rowspace(A). Then state the dimension of the Rowspace(A). (b) Find a basis for the Colspace(A). Then state the dimension of the Colspace(A). (e) Find a basis for the Nullspace(A). Then state the dimension of the Nullspace(A). (d) State and confirm the Rank-Nullity Theorem for this matrix.
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
Suppose A is a symmetric 3 by 3 matrix with eigenvalues 0, 1, 2 (a) What properties 4. can be guaranteed for the corresponding unit eigenvectors u, v, w? In terms of u, v, w describe the nullspace, left nullspace, (b) row space, and column space of A (c) Find a vector x that satisfies Ax v +w. Is x unique? Under what conditions on b does Ax = b have a solution? (d) (e) If u, v, w are...