1) Below, we have a 4 x 4 matrix ,"E", and its inverse. Verify E x inv(E) is a 4 x 4 Identity Matrix. You need to use the Matrix - Vector Product written in terms of columns! [ А, В, С, D] %3D [о, о, с, D] [ 0, 0, 0, D] [ 1/A, -1/A, 0, 0] 0, 1/В, -1/В, 0] inv (E) %3D [ 1/C, -1/C] [ 0, 0, 0, 1/D]
1) Below, we have a 4 x 4 matrix ,"E", and its inverse. Verify E x inv(E) is a 4 x 4 Identity Matrix. You need to use the Matrix - Vector Product written in terms of columns! [ А, В, С, D] %3D [о, о, с, D] [ 0, 0, 0, D] [ 1/A, -1/A, 0, 0] 0, 1/В, -1/В, 0] inv (E) %3D [ 1/C, -1/C] [ 0, 0, 0, 1/D]
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter3: Matrices
Section3.5: Subspaces, Basis, Dimension, And Rank
Problem 63EQ
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