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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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]
го, в, с, D]
[о, о, с, D]
[ 0, 0, 0, D]
E
[ 1/A, -1/A,
0,
0]
[
0,
1/B, -1/B,
0]
inv (E)
[
0,
0,
1/C, -1/C]
[
0,
0,
0,
1/D]
Transcribed Image Text: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] го, в, с, D] [о, о, с, D] [ 0, 0, 0, D] E [ 1/A, -1/A, 0, 0] [ 0, 1/B, -1/B, 0] inv (E) [ 0, 0, 1/C, -1/C] [ 0, 0, 0, 1/D]
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