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          asymptotic expansions (based on a parameter) are described. The notions of uniformity
          and breakdown  are  introduced,  together with the  important  concepts of scaling and
          matching. Chapter  2  is  devoted to  routine and  straightforward  applications of the
          methods developed in the previous chapter.  In particular, we discuss how these ideas
          can be used to find the roots of equations and how to integrate functions represented
          by a number of matched asymptotic expansions. We then turn to the most significant
          application of these methods: the solution of differential equations. Some simple regular
          (i.e. not singular)  problems are discussed first—these are  rather rare and of no  great
          importance—followed by a number of examples of singular problems,  including some
          that exhibit boundary or transition layers. The role of scaling a differential equation is
          given  some  prominence.
            In Chapter  3, the techniques  of singular  perturbation  theory are  applied to  more
          sophisticated problems,  many of which  arise  directly  from (or  are  based  upon) im-
          portant  examples in applied mathematics  or mathematical physics.  Thus we look at
          nonlinear wave propagation, supersonic flow past a thin aerofoil, solutions of Laplace’s
          equation, heat transfer to a fluid flowing through a pipe and an example taken from gas
          dynamics. All these are classical problems, at some level, and are intended to show the
          efficacy of these techniques. The chapter concludes with some applications to ordinary
          differential equations (such as Mathieu’s equation) and then, as an extension of some
          of the ideas already developed,  the method of strained coordinates is presented.
            One of the most general and most powerful techniques in  the armoury of singular
          perturbation theory is the method of multiple scales. This is introduced, explained and
          developed in  Chapter 4,  and then  applied to  a  wide  variety of problems.  These  in-
          clude linear and nonlinear oscillations, classical ordinary differential equations (such as
          Mathieu’s  equation—again—and  equations with  turning points)  and the propagation
          of dispersive waves.  Finally, it is shown that the method of multiple scales can be used
          to great effect in boundary-layer problems  (first mentioned in Chapter 2).
            The final chapter is devoted to  a collection of worked examples taken from a wide
          range of subject areas. It is hoped that each reader will find something of interest here,
          and that these will show—perhaps more clearly than anything that has gone before—
          the relevance  and power of singular perturbation  theory.  Even if there is  nothing of
          immediate  interest, the  reader who  wishes  to become more  skilled will  find these  a
          useful set of additional  examples.  These are listed under seven  headings: mechanical
          & electrical systems; celestial mechanics; physics of particles & light; semi- and su-
          perconductors; fluid mechanics; extreme thermal processes; chemical & biochemical
          reactions.
            Throughout the text,  worked examples are used to explain and describe the ideas,
          which are reinforced by the numerous exercises that are provided at the end of each of
          the first four chapters.  (There are no set exercises in Chapter 5, but the extensive ref-
          erences can be investigated if more information is required.) Also at the end of each of
          Chapters 1–4 is a section of further reading which, in conjunction with the references
          cited in  the body of the  chapter, indicate  where relevant  reference material can  be
          found. The references (all listed at the end of the book) contain both texts and research
          papers.  Sections in each  chapter  are  numbered  following the decimal  pattern, and
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