1998
DOI: 10.1098/rspa.1998.0278
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Exponential asymptotics and Stokes lines in nonlinear ordinary differential equations

Abstract: A technique for calculating exponentially small terms beyond all orders in singularly perturbed ordinary differential equations is presented. The approach is based on the application of a WKBJ-type ansatz to the late terms in the naive asymptotic expansion and the identification of Stokes lines, and is closely related to the wellknown Stokes line-smoothing phenomenon in linear ordinary differential equations. The method is illustrated by application to examples.

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Cited by 82 publications
(279 citation statements)
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(21 reference statements)
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“…Having determined the form of the late terms of the asymptotic series of φ, we can now truncate the series and study the behaviour of the remainder as in Daalhuis et al (1995); Chapman et al (1998). In this way we will observe the Stokes switching directly through a smoothing of the Stokes discontinuities.…”
Section: Stokes Smoothingmentioning
confidence: 99%
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“…Having determined the form of the late terms of the asymptotic series of φ, we can now truncate the series and study the behaviour of the remainder as in Daalhuis et al (1995); Chapman et al (1998). In this way we will observe the Stokes switching directly through a smoothing of the Stokes discontinuities.…”
Section: Stokes Smoothingmentioning
confidence: 99%
“…Since to identify the Stokes structure all we need is the asymptotic behaviour of φ (n) for large n, it is therefore natural to ask whether this can be obtained directly, that is, whether we can approximate the equation for φ (n) for large n and then solve, rather than solving exactly and then approximating. In this section, we examine the possibilities and difficulties of obtaining the late terms through a direct application of a factorial/power ansatz, as is possible for ordinary differential equations (see Chapman et al (1998)). Thus we suppose that…”
Section: Direct Application Of 'Factorial Over Power' Ansatzmentioning
confidence: 99%
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