Edgeworth expansions for slow-fast systems with finite time scale separation

[thumbnail of edgeworth_paper_ProcRoySocA.pdf]
Preview
Text - Accepted Version
· Please see our End User Agreement before downloading.
| Preview

Please see our End User Agreement.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Wouters, J. orcid id iconORCID: https://orcid.org/0000-0001-5418-7657 and Gottwald, G. A. (2019) Edgeworth expansions for slow-fast systems with finite time scale separation. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 475 (2223). 20180358. ISSN 1364-5021 doi: 10.1098/rspa.2018.0358

Abstract/Summary

We derive Edgeworth expansions that describe corrections to the Gaussian limiting behaviour of slow-fast systems. The Edgeworth expansion is achieved using a semi-group formalism for the transfer operator, where a Duhamel-Dyson series is used to asymptotically determine the corrections at any desired order of the time scale parameter ε. The corrections involve integrals over higher-order auto-correlation functions. We develop a diagrammatic representation of the series to control the combinatorial wealth of the asymptotic expansion in ε and provide explicit expressions for the first two orders. At a formal level, the expressions derived are valid in the case when the fast dynamics is stochastic as well as when the fast dynamics is entirely deterministic. We corroborate our analytical results with numerical simulations and show that our method provides an improvement on the classical homogenization limit which is restricted to the limit of infinite time scale separation.

Altmetric Badge

Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/81424
Identification Number/DOI 10.1098/rspa.2018.0358
Refereed No
Divisions Science > School of Mathematical, Physical and Computational Sciences > Department of Mathematics and Statistics
Uncontrolled Keywords Nonlinear Sciences - Chaotic Dynamics, Mathematics - Dynamical Systems, Mathematics - Probability
Publisher Royal Society Publishing
Download/View statistics View download statistics for this item

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Search Google Scholar