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book   Mobk070    March 22, 2007  11:7








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                                                 CHAPTER 10


                     Introduction to Perturbation Methods






                   Perturbation theory is an approximate method of solving equations which contain a parameter
                   that is small in some sense. The method should result in an approximate solution that may
                   be termed “precise” in the sense that the error (the difference between the approximate and
                   exact solutions) is understood and controllable and can be made smaller by some rational
                   technique. Perturbation methods are particularly useful in obtaining solutions to equations that
                   are nonlinear or have variable coefficients. In addition, it is important to note that if the method
                   yields a simple, accurate approximate solution of any problem it may be more useful than an
                   exact solution that is more complicated.


                   10.1   EXAMPLES FROM ALGEBRA
                   We begin with examples from algebra in order to introduce the ideas of regular perturbations
                   and singular perturbations. We start with a problem of extracting the roots of a quadratic
                   equation that contains a small parameter ε 
 1.


                   10.1.1 Regular Perturbation
                   Consider, for example, the equation

                                                      2
                                                     x + εx − 1 = 0                             (10.1)
                   The exact solution for the roots is, of course, simply obtained from the quadratic formula:


                                                         ε         ε 2
                                                   x =− ±      1 +                              (10.2)
                                                         2         4
                   which yields exact solutions

                                                    x = 0.962422837

                   and


                                                   x =−1.062422837
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