Suppose the matrices P and Q have the same rows as I but in any order....
1. A permutation matrix P is a square matrix obtained by reordering the rows (or columns) of In. (a) Show that any permutation matrix can be written as a product of matrices of the form Pjk, where Pjk is the result of swapping Rj Rk on In. (b) Show that a permutation matrix satisfies the equation PTP In.
2. (a) Let A be the matrix A -4 21 8 -40 Write down the 3 x 3 permutation matrix P such that PA interchanges the 1st and 3rd rows of A. Find the inverse of P. Use Gaussian elimination with partial pivoting to find an upper triangular matrix U, permutation matrices Pi and P2 and lower triangular matrices Mi and M2 of the form 1 0 0 Mi-1A1 10 a2 0 1 M2 0 0 0 b1 with ail...
Let A and B be square matrices and P be an invertible matrix. If A- PBP-,show that A and B have the same determinant. Let A and B be square matrices and P be an invertible matrix. If A- PBP-,show that A and B have the same determinant.
8: Suppose that A and B are similar matrices, B = p-1AP, where 6 2 P = -1 1 We know that A and B have the same characteristic polynomial and the same eigenvalues. Suppose that 2 is one of the common eigenvalues and x = [4 1] is a corresponding eigenvector of A. Which of the following is the eigenvector of B corresponding to 2 ? "f1-4-0-0-0-0-01-10 #8: Select
QUESTIONS Problem 3. Let P, Q be nxn matrices with PQ = QP. Suppose that is nonsinsingular and veR" is a nonzero eigenvector of P. Determine which of the following statements is True. e: v and Qü are eigenvectors of P with the same eigenvalues. 12: v and Qü are eigenvectors of P with distinct eigenvalues. T: Qü is not an eigenvector of P. V: None of the other answers. e оооо
#9. If P and Q are two transition probability matrices with the same number of row (and hence columns) will PQ necessarily be a transition probability matrix? Justify your answer.
7. This question involves the concept of determinants and partitioned matrices. Historically, determinants first arose in the context of solving systems of linear equations for one set of variables in terms of another. For example, if the coefficient matrix of the system u= ax + by v=cx + dy is invertible, then the equations can be solved for x and y in terms of u and v as au – cu 2= du - bv ad - bc y =...
Problem B-2. Prove that the matrices AAT and AT A have the same set of non-zero eigen- values. (Hint: consider the singular value decomposition of A)
Suppose I can arrange any arbitrary number of values in rows of 8 columns. For example, if I have 16 values, I can arrange them as follows: 3 4 6 -2 9 0.03 0.1 -0.39 84 9 5.7 -0.09 0.37 1 2 4.1 or, if I have 13 values, I am arrange them as follows: 3.2 5 10 0.31 -8 1.3 -0.03 15 5.72 93 100 12 -0.33 etc. What is the code (python) operation to determine the number of...
Two n x n matrices A and B are called similar if there is an invertible matrix P such that B = P-AP. Show that two similar matrices enjoy the following properties. (a) They have the same determinant. (b) They have the same eigenvalues: specifically, show that if v is an eigenvector of A with eigenvalue 1, then P-lv is an eigenvector of B with eigenvalue l. (c) For any polynomial p(x), P(A) = 0 is equivalent to p(B) =...