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.

12.2 THE FOURIER COEFFICIENTSwe can write any function as the sum of a sine series <strong>and</strong> a cosine series.All the terms of a Fourier series are mutually orthogonal, i.e. the integrals, overone period, of the product of any two terms have the following properties:∫ x0+L( ) ( )2πrx 2πpxsin cos dx = 0 <strong>for</strong> all r <strong>and</strong> p, (12.1)L Lx 0∫ x0+Lx 0∫ x0+Lx 0( 2πrxcosL( 2πrxsinL)cos)sin⎧( ) 2πpx⎨L <strong>for</strong> r = p =0,1dx =L ⎩2L <strong>for</strong> r = p>0,0 <strong>for</strong> r ≠ p,⎧( ) 2πpx⎨0 <strong>for</strong> r = p =0,1dx =L ⎩2L <strong>for</strong> r = p>0,0 <strong>for</strong> r ≠ p,(12.2)(12.3)where r <strong>and</strong> p are integers greater than or equal to zero; these <strong>for</strong>mulae are easilyderived. A full discussion of why it is possible to exp<strong>and</strong> a function as a sum ofmutually orthogonal functions is given in chapter 17.The Fourier series expansion of the function f(x) is conventionally writtenf(x) = a ∞02 + ∑[a r cosr=1( 2πrxL)+ b r sin( 2πrxL)], (12.4)where a 0 ,a r ,b r are constants called the Fourier coefficients. These coefficients areanalogous to those in a power series expansion <strong>and</strong> the determination of theirnumerical values is the essential step in writing a function as a Fourier series.This chapter continues with a discussion of how to find the Fourier coefficients<strong>for</strong> particular functions. We then discuss simplifications to the general Fourierseries that may save considerable ef<strong>for</strong>t in calculations. This is followed by thealternative representation of a function as a complex Fourier series, <strong>and</strong> weconclude with a discussion of Parseval’s theorem.12.2 The Fourier coefficientsWe have indicated that a series that satisfies the Dirichlet conditions may bewritten in the <strong>for</strong>m (12.4). We now consider how to find the Fourier coefficients<strong>for</strong> any particular function. For a periodic function f(x) ofperiodL we will findthat the Fourier coefficients are given bya r = 2 ∫ x0+L( ) 2πrxf(x)cos dx, (12.5)L x 0Lb r = 2 ∫ x0+L( ) 2πrxf(x)sin dx, (12.6)L x 0Lwhere x 0 is arbitrary but is often taken as 0 or −L/2. The apparently arbitraryfactor 1 2which appears in the a 0 term in (12.4) is included so that (12.5) may417

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

Saved successfully!

Ooh no, something went wrong!