Please answer this question 1. Suppose that A is an m x n matrix and B...
1 2 Suppose that the non-singular n × n matrix A can be diagonalized, ie A = PDP-1 where D is a diagonal matrix. Show that A-1 and AT can be diagonalized. 1.e. Suppose we have 2nu x 2n block matrices Y=I-I B O AB where all sub-matrices are n × n and O denotes the zero matrix. Find a block matrix X such that XY the determinant of X? Z and demonstrate it works. What is
About linear algebra,matrix; 2. (a) Use Octave as a Calculator to answer this question. Suppose that A and B are two 8 x 9 matrices. The (i.j)-entry of the matrix B is given by i *j -1. The (i. j)-entry of the matrix A equals 0 if i + j is divisible by 5 and equals the (i,j)-entry of the matrix B otherwise. i. What are the rank and nullity of matrices A and B? ii. Is vector u 9,64,-71,...
Please Answer All The Question 3. An n x n matrix N is called nilpotent if Nd = 0 for some d. (a) Show that if N is nilpotent, then N" = 0. (b) Show that the dim ker N is the number of Jordan blocks in its Jordan canonical form (c) How many similarity classes of 5 x 5 nilpotent matrices are there?
A8.2 Let A be an m × n matrix and B be an n × p matrix. (a) Show that col(B) C null(A) if and only if AB = 0. (b) Show that if AB = 0, then rank(A) + rank(B) 〈 n. A8.2 Let A be an m × n matrix and B be an n × p matrix. (a) Show that col(B) C null(A) if and only if AB = 0. (b) Show that if AB = 0,...
For an n x m matrix B, the sum of the dimensions of the column space and the null space equals m. True False
For the following problems use: Annx n matrix A is invertible RREF(A) = I rank(A) - n A 2 x 2 matrix A is invertible = det(A) 0 3 singular (non-invertible). For which value(s) of h is A = -2 -1 -4 Choose... Choose... 6 2 h-2 a 0,b 0,c+0,d +0 A = 4 -1 C 0 x-2 or x 4 For which values of x is A = invertible a 0,b 0,c 0,d=0 4 x 2 X#1 and x2...
please answer 2a(i) only 2. (a) Use Octave as a Calculator to answer this question. Suppose that A and B are two 8 × 9 matrices. The (i, j)-entry of the matrix B is given by i *j - 1. The (i,j)-entry of the matrix A equals 0 if i +j is divisible by and equals the (i,j)-entry of the matrix B otherwise. i. What are the rank and nullity of matrices A and B? ii. Is vector u- [9,...
a) suppose that the nxn matrix A has its n eigenvalues arranged in decreasing order of absolute size, so that >>.... each eigenvalue has its corresponding eigenvector, x1,x2,...,xn. suppose we make some initial guess y(0) for an eigenvector. suppose, too, that y(0) can be written in terms of the actual eigenvectors in the form y(0)=alpha1.x1 +alpha2.x2 +...+alpha(n).x(n), where alpha1, alpha2, alpha(n) are constants. by considering the "power method" type iteration y(k+1)=Ay(k) argue that (see attached image) b) from an nxn...
1. Let A be an m x n matrix. Determine whether each of the following are TRUE always or FALSE sometimes. If TRUE explain why. If FALSE give an example where it fails. (a) If m n there is at most one solution to Ax = b. always solve Ax b (b) If n > m you can (c) If n > m the null space of A has dimension greater than zero. (d) If n< m then for some...
Suppose A is a symmetric n x n matrix with n positive eigenvalues. Explain why an orthogonal diagonalization A = PDPT of A is also a singular value decomposition of A, with U = P =V and E = D. [Hint: First, explain why this is equivalent to showing the singular values of A are exactly the eigenvalues of A. Then show this is the case with these assumptions on A.]