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Mathematical Methods for Physicists: A concise introduction - Site Map

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FOUR BASIC ALGEBRA OPERATIONS FOR MATRICES<br />

with elements<br />

d jk ˆ a jk b jk :<br />

…3:4†<br />

Multiplication of a matrix by a number<br />

If ~A ˆ…a jk † and c is a number (or scalar), then we de®ne the product of ~A and c as<br />

c ~ A ˆ ~Ac ˆ…ca jk †;<br />

…3:5†<br />

we see that c ~ A is the matrix obtained by multiplying each element of ~ A by c.<br />

We see from the de®nition that <strong>for</strong> any matrices and any numbers,<br />

c… ~ A ‡ ~B† ˆc ~ A ‡ c ~B; …c ‡ k† ~ A ˆ c ~ A ‡ k ~ A; c…k ~ A†ˆck ~ A: …3:6†<br />

Example 3.2<br />

<br />

7 a b c <br />

ˆ<br />

d e f<br />

7a 7b 7c<br />

7d 7e 7f<br />

Formulas (3.3) and (3.6) express the properties which are characteristic <strong>for</strong> a<br />

vector space. This gives vector spaces of matrices. We will discuss this further in<br />

Chapter 5.<br />

<br />

:<br />

Matrix multiplication<br />

The matrix product ~A ~B of the matrices ~A and ~B is de®ned if and only if the<br />

number of columns in A ~ is equal to the number of rows in ~B. Such matrices<br />

are sometimes called `con<strong>for</strong>mable'. If ~A ˆ…a jk † is an n s matrix and<br />

~B ˆ…b jk † is an s m matrix, then ~A and ~B are con<strong>for</strong>mable and their matrix<br />

product, written ~C ˆ ~A ~B, isann m matrix <strong>for</strong>med according to the rule<br />

c ik ˆ Xs<br />

jˆ1<br />

a ij b jk ; i ˆ 1; 2; ...; n k ˆ 1; 2; ...; m: …3:7†<br />

Consequently, to determine the ijth element of matrix ~ C, the corresponding terms<br />

of the ith row of ~A and jth column of ~B are multiplied and the resulting products<br />

added to <strong>for</strong>m c ij .<br />

Example 3.3<br />

Let<br />

0 1<br />

3 5<br />

2 1 4 B C<br />

~A ˆ<br />

; ~B ˆ @ 2 1 A<br />

3 0 2<br />

4 2<br />

103

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