Advanced Mathematical Methods for Scientists and Engineers I: Asymptotic Methods and Perturbation Theory
This book gives a clear, practical and self-contained presentation of the methods of asymptotics and perturbation theory and explains how to use these methods to obtain approximate analytical solutions to differential and difference equations. These methods allow one to analyze physics and engineering problems that may not be solvable in closed form and for which brute-force numerical methods may not converge to useful solutions. The objective of this book is to teaching the insights and problem-solving skills that are most useful in solving mathematical problems arising in the course of modern research. Intended for graduate students and advanced undergraduates, the book assumes only a limited familiarity with differential equations and complex variables. The presentation begins with a review of differential and difference equations; develops local asymptotic methods for differential and difference equations; explains perturbation and summation theory; and concludes with a an exposition of global asymptotic methods, including boundary-layer theory, WKB theory, and multiple-scale analysis. Emphasizing applications, the discussion stresses care rather than rigor and relies on many well-chosen examples to teach the reader how an applied mathematician tackles problems. There are 190 computer-generated plots and tables comparing approximate and exact solutions; over 600 problems, of varying levels of difficulty; and an appendix summarizing the properties of special functions.
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Airy function analysis analytic approximation to y(x asymptotic analysis asymptotic expansion asymptotic matching asymptotic relation asymptotic series behavior of solutions behavior of y(x boundary conditions boundary layer boundary-layer theory boundary-value problem branch points Clue coefficients compute constant contour controlling factor critical point derive determine difference equation differential equation eigenvalue problem exact solution Example exponentially Find the leading finite first-order formula Frobenius series gives higher-order initial conditions initial-value problem inner integral representation irregular singular point Laplace's method leading behavior leading-order linearly independent linearly independent solutions local analysis nonlinear obtain optimal asymptotic approximation outer solution Pade approximants Pade sequence parameter perturbation problem perturbation series perturbation theory plot poles polynomial Prob radius of convergence result saddle point satisfies second-order Show solution y(x solve steepest steepest-descent Stirling series Substituting Taylor series tion trajectories uniform approximation valid values vanishes verify WKB approximation WKB theory