2010
DOI: 10.1146/annurev.fluid.060909.133212
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Singular Perturbation Theory: A Viscous Flow out of Göttingen

Abstract: This review describes how singular perturbation theory grew out of Prandtl's fluid dynamical boundary-layer theory of 1904. Developments were centered at Göttingen until 1933, when research spread worldwide. After that, singular perturbations developed more rapidly as the subject became centered within applied mathematics.

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Cited by 14 publications
(8 citation statements)
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“…In particular, the quest for a model that can describe separated boundary layers spanned three quarters of a century. Also, as shortly touched upon, it strongly stimulated the development of singular perturbation theory, e.g., [24,58,59].…”
Section: Epiloguementioning
confidence: 99%
“…In particular, the quest for a model that can describe separated boundary layers spanned three quarters of a century. Also, as shortly touched upon, it strongly stimulated the development of singular perturbation theory, e.g., [24,58,59].…”
Section: Epiloguementioning
confidence: 99%
“…Upon substituting this decomposition for Ψ H into (2.19)-(2.22), we obtain that Ψ H (ρ, θ ; S) is C 1 as ρ → 0 and satisfies the nonlinear problem 4 is the best least-squares quartic polynomial to the numerical data for R(S). The three-term 5 is the best quintic polynomial to the numerical data for C 2 (S). The one-term approximation (2.27) is the dashed curve, which provides a somewhat poor approximation unless S is rather small where L 0s is the linearized Oseen operator.…”
Section: Lemmamentioning
confidence: 99%
“…The development and application of singular perturbation methods to various problems in fluid mechanics is discussed in the classic text of [4]. For a recent survey of the history of singular perturbations applied to boundary layer problems in fluid mechanics see [5]. A comprehensive recent survey on asymptotic and renormalization group methods applied to slow viscous flow problems is given in [6].…”
mentioning
confidence: 99%
“…Within the 20th century, the use of small parameters and perturbation techniques for differential equations have permeated effectively all areas of science and engineering, while more recently also quantitative modelling in the social sciences tends to rely on differential equation modelling. For some pointers to the vast literature, we refer to the books [25,27,107,122,128,133,145,177,181,186,193,209,213,214], where classical cases of ordinary and partial differential equations (ODEs and PDEs) with one small parameter are considered from a number of different viewpoints.…”
Section: Introductionmentioning
confidence: 99%