13.07.2015 Views

Mathematical Methods for Physics and Engineering - Matematica.NET

Mathematical Methods for Physics and Engineering - Matematica.NET

Mathematical Methods for Physics and Engineering - Matematica.NET

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

MATRICES AND VECTOR SPACES<strong>and</strong> may be straight<strong>for</strong>wardly derived.(i) (A −1 ) −1 = A.(ii) (A T ) −1 =(A −1 ) T .(iii) (A † ) −1 =(A −1 ) † .(iv) (AB) −1 = B −1 A −1 .(v) (AB ···G) −1 = G −1 ···B −1 A −1 .◮Prove the properties (i)–(v) stated above.We begin by writing down the fundamental expression defining the inverse of a nonsingularsquare matrix A:AA −1 = I = A −1 A. (8.61)Property (i). This follows immediately from the expression (8.61).Property (ii). Taking the transpose of each expression in (8.61) gives(AA −1 ) T = I T =(A −1 A) T .Using the result (8.39) <strong>for</strong> the transpose of a product of matrices <strong>and</strong> noting that I T = I,we find(A −1 ) T A T = I = A T (A −1 ) T .However, from (8.61), this implies (A −1 ) T =(A T ) −1 <strong>and</strong> hence proves result (ii) above.Property (iii). This may be proved in an analogous way to property (ii), by replacing thetransposes in (ii) by Hermitian conjugates <strong>and</strong> using the result (8.40) <strong>for</strong> the Hermitianconjugate of a product of matrices.Property (iv). Using (8.61), we may write(AB)(AB) −1 = I = (AB) −1 (AB),From the left-h<strong>and</strong> equality it follows, by multiplying on the left by A −1 ,thatA −1 AB(AB) −1 = A −1 I <strong>and</strong> hence B(AB) −1 = A −1 .Now multiplying on the left by B −1 givesB −1 B(AB) −1 = B −1 A −1 ,<strong>and</strong> hence the stated result.Property (v). Finally, result (iv) may extended to case (v) in a straight<strong>for</strong>ward manner.For example, using result (iv) twice we find(ABC) −1 = (BC) −1 A −1 = C −1 B −1 A −1 . ◭We conclude this section by noting that the determinant |A −1 | of the inversematrix can be expressed very simply in terms of the determinant |A| of the matrixitself. Again we start with the fundamental expression (8.61). Then, using theproperty (8.52) <strong>for</strong> the determinant of a product, we find|AA −1 | = |A||A −1 | = |I|.It is straight<strong>for</strong>ward to show by Laplace expansion that |I| = 1, <strong>and</strong> so we arriveat the useful result|A −1 | = 1|A| . (8.62)266

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!