Mathematical Methods for Physics and Engineering : A Comprehensive Guide

(Darren Dugan) #1

17


Eigenfunction methods for


differential equations


In the previous three chapters we dealt with the solution of differential equations


of ordernby two methods. In one method, we foundnindependent solutions


of the equation and then combined them, weighted with coefficients determined


by the boundary conditions; in the other we found solutions in terms of series


whose coefficients were related by (in general) ann-term recurrence relation and


thence fixed by the boundary conditions. For both approaches the linearity of the


equation was an important or essential factor in the utility of the method, and


in this chapter our aim will be to exploit the superposition properties of linear


differential equations even further.


We will be concerned with the solution of equations of the inhomogeneous

form


Ly(x)=f(x), (17.1)

wheref(x) is a prescribed or general functionandthe boundary conditions to


be satisfied by the solutiony=y(x), for example at the limitsx=aandx=b,


are given. The expressionLy(x) stands for a linear differential operatorLacting


upon the functiony(x).


In general, unlessf(x) is both known and simple, it will not be possible to

find particular integrals of (17.1), even if complementary functions can be found


that satisfyLy= 0. The idea is therefore to exploit the linearity ofLby building


up the required solutiony(x)asasuperposition, generally containing an infinite


number of terms, of some set of functions{yi(x)}that each individually satisfy


the boundary conditions. Clearly this brings in a quite considerable complication


but since, within reason, we may select the set of functions to suit ourselves, we


can obtain sizeable compensation for this complication. Indeed, if the set chosen


is one containing functions that, when acted upon byL, produce particularly


simple results then we can ‘show a profit’ on the operation. In particular, if the

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