Mathematical Methods for Physics and Engineering : A Comprehensive Guide

(lu) #1

MATRICES AND VECTOR SPACES


These are clearly not the same, sincePis anM×Mmatrix whilstQis an


N×Nmatrix. Thus, particular care must be taken to write matrix products in


the intended order;P=ABbutQ=BA. We note in passing thatA^2 meansAA,


A^3 meansA(AA)=(AA)Aetc. Even if bothAandBare square, in general


AB=BA, (8.35)

i.e. the multiplication of matrices is not, in general, commutative.


EvaluateP=ABandQ=BAwhere

A=




32 − 1


03 2


1 − 34



, B=




2 − 23


110


321



.


As we saw for the 2×2 case above, the elementPijof the matrixP=ABis found by
mentally taking the ‘scalar product’ of theith row ofAwith thejth column ofB.For
example,P 11 =3×2+2×1+(−1)×3=5,P 12 =3×(−2) + 2×1+(−1)×2=−6, etc.
Thus


P=AB=




32 − 1


03 2


1 − 34






2 − 23


110


321



=




5 − 68


972


1137



,


and, similarly,


Q=BA=




2 − 23


110


321






32 − 1


03 2


1 − 34



=




9 −11 6


351


1095



.


These results illustrate that, in general, two matrices do not commute.


The property that matrix multiplication is distributive over addition, i.e. that

(A+B)C=AC+BC (8.36)

and


C(A+B)=CA+CB, (8.37)

follows directly from its definition.


8.4.3 The null and identity matrices

Both the null matrix and the identity matrix are frequently encountered, and we


take this opportunity to introduce them briefly, leaving their uses until later. The


nullorzeromatrix 0 has all elements equal to zero, and so its properties are


A0= 0 =0A,

A+ 0 = 0 +A=A.
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