Mathematical Methods for Physics and Engineering : A Comprehensive Guide

(Darren Dugan) #1

21


Partial differential equations:


separation of variables and other


methods


In the previous chapter we demonstrated the methods by which general solutions


of some partial differential equations (PDEs) may be obtained in terms of


arbitrary functions. In particular, solutions containing the independent variables


in definite combinations were sought, thus reducing the effective number of them.


In the present chapter we begin by taking the opposite approach, namely that

of trying to keep the independent variables as separate as possible, using the


method of separation of variables. We then consider integral transform methods


by which one of the independent variables may be eliminated, at least from


differential coefficients. Finally, we discuss the use of Green’s functions in solving


inhomogeneous problems.


21.1 Separation of variables: the general method

Suppose we seek a solutionu(x, y, z, t) to some PDE (expressed in Cartesian


coordinates). Let us attempt to obtain one that has the product form§


u(x, y, z, t)=X(x)Y(y)Z(z)T(t). (21.1)

A solution that has this form is said to beseparableinx,y,zandt, and seeking


solutions of this form is called the method ofseparation of variables.


As simple examples we may observe that, of the functions

(i)xy z^2 sinbt, (ii)xy+zt, (iii) (x^2 +y^2 )zcosωt,

(i) is completely separable, (ii) is inseparable in that no single variable can be


separated out from it and written as a multiplicative factor, whilst (iii) is separable


inzandtbut not inxandy.


§It should be noted that the conventional use here of upper-case (capital) letters to denote the
functions of the corresponding lower-case variable is intended to enable an easy correspondence
between a function and its argument to be made.
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