Exercise 3.2.5

Answers

For these problems, we can do the Gaussian elimination on the augment matrix. If the matrix is full rank1 then we get the inverse matrix in the augmenting part.

1.
The rank is 2 and its inverse is ( 1 2 1 1 ).
( 1210 1 1 0 1 ) (1 2 1 0 0 1 1 1 )
(1 0 12 0 1 1 1 ) (10 1 2 0 1 1 1 )
2.
The rank is 1. So there’s no inverse matrix.
3.
The rank is 2. So there’s no inverse matrix.
4.
The rank is 3 and its inverse is (1 2 3 1 3 2 4 2 1 2 1 ).
5.
The rank is 3 and its inverse is ( 1 6 1 3 1 2 1 2 0 1 2 1 6 1 3 1 2 ) .
6.
The rank is 2. So there’s no inverse matrix.
7.
The rank is 4 and its inverse is (5115 7 12 31 9 4 7 10 3 1 2 3 1 1 1 ).
8.
The rank is 3. So there’s no inverse matrix.
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2011-06-27 00:00
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