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Mathematical Methods for Physicists: A concise introduction - Site Map

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THE INVERSE OF A MATRIX<br />

or<br />

0<br />

1 0<br />

10<br />

A 2 B 3 A 3 B 2 0 B 2 B 2<br />

B<br />

C B<br />

CB<br />

@ A 3 B 1 A 1 B 3 A ˆ @ B 3 0 B 1 A@<br />

A 1 B 2 A 2 B 1 B 2 B 1 0<br />

A 1<br />

A 2<br />

A 3<br />

1<br />

C<br />

A:<br />

Thus the vector product may be represented as the product of a skew-symmetric<br />

matrix and a column matrix. However, this de®nition only holds <strong>for</strong> 3 3<br />

matrices.<br />

Similarly, curl A may be represented in terms of a skew-symmetric matrix<br />

operator, given in Cartesian coordinates by<br />

0<br />

10<br />

1<br />

rA ˆ<br />

B<br />

@<br />

0 @=@x 3 @=@x 2<br />

@=@x 3 0 @=@x 1<br />

@=@x 2 @=@x 1 0<br />

CB<br />

A@<br />

In a similar way, we can investigate the triple scalar product and the triple vector<br />

product.<br />

A 1<br />

A 2<br />

A 3<br />

C<br />

A:<br />

The inverse of a matrix<br />

If <strong>for</strong> a given square matrix ~ A there exists a matrix ~B such that ~ A ~B ˆ ~B ~ A ˆ ~I,<br />

where ~I is a unit matrix, then ~B is called an inverse of matrix ~A.<br />

Example 3.8<br />

The matrix<br />

is an inverse of<br />

since<br />

and<br />

<br />

~B ˆ 3 5 <br />

1 2<br />

<br />

2 5<br />

~A ˆ<br />

;<br />

1 3<br />

<br />

<br />

2 5 3 5<br />

~A ~B ˆ<br />

1 3 1 2<br />

<br />

~B ~A ˆ 3 5 <br />

2 5<br />

1 2 1 3<br />

<br />

ˆ 1 0 <br />

ˆ ~I<br />

0 1<br />

<br />

ˆ 1 0 <br />

ˆ ~I:<br />

0 1<br />

An invertible matrix has a unique inverse. That is, if ~B and ~C are both inverses<br />

of the matrix ~ A, then ~B ˆ ~C. The proof is simple. Since ~B is an inverse of ~ A,<br />

111

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