Use cofactors to compute the inverse of the following matrix: A:1 -2 1. し0-12
Use expansion by cofactors to find the determinant of the matrix. - 3 4 -1 13 1 2 | -1 4 2 Use expansion by cofactors to find the determinant of the matrix. [65 31 0 4 1 00-3]
12 31 Given a matrix A = (a) (40 pts) Compute the inverse of matrix A by: + Solving Ax=b with b set to [1, 0]T and [0, 1]T + Using Gaussian Elimination with Partial Pivoting (GEPP) (b) (20 pts) Compute the Lo row-sum norm condition number of the matrix A. CS Scanned with CamScanner
Determine if each following matrix is invertible. If so, find the inverse matrix. [1 0 1 2 2 3] 12 -1 3 5 -1
ſi 4 01 Compute the inverse of the matrix A = 1 5 0 7 1 1
a) IAI 2. Use expansion by cofactors to find the determinant of the matrix. A-4 5 0(ln your solution, state the row or column that you are expanding)
Exercise 1. (a) Find the inverse of the matrix 0 0 1/2 A= 01/ 31 1/5 1 0 (b) Let N be a nxn matrix with N2 = 0. Show (I. - N)-1 = IA+N. (Hint: Use the definition of the inverse.)
Find the inverse, if it exists, of the given matrix 1 0 0 OA. 0 1 1 0 0 1 1 0 0 2-1 1 Find the inverse, if it exists, of the given matrix. 5 12 5 2 A. 12 5 5 -12 -2 5 -5 2 12 -5 -5-12 -25 OB. O c. O D. Determine whether the two matrices are inverses of each other by computing their product. 9 4-22 2 -45 O No O Yes
Extra Problem #1: Use the Cayley-Hamilton Theorem to express the inverse of the matrix [1 2 -3 01 0 2 7 3 A=1 0 0 -2 1 0 0 0 2 in terms of A, A², and A. Extra Problem #2: Suppose that G is the graph with adjacency matrix To 1 1 0 1 0 1 1 A= 1 1 0 1 0 1 1 0 Compute tr A and tr A. Is B bipartite?
Pr. 2 Consider the Beam Matrix formulation presented in class. Use the definition of Matrix Inverse to find the inverse of the "Lambda Matrix" for a beam finite element given below: (show the work by hand in detail) [41-1 [1 0 0 0 1 0 1 L 12 Lo 1 2L 0 0 L3 3L = T? ? ? ? ? ? ? ? ? ? ? ? L? ? ? ?] Once you find the [A] 4, then you...
DETAILS LARLINALG8 3.1.021. Use expansion by cofactors to find the determinant of the matrix. 6 6 1 04 3 0 0-3