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Multiple scales and matched asymptotic expansions for the discrete logistic equation

Abstract:
In this paper, we combine the method of multiple scales and the method of matched asymptotic expansions to construct uniformly-valid asymptotic solutions to autonomous and non-autonomous forms of the discrete logistic equation in the neighbourhood of a period-doubling bifurcation. In each case, we begin by constructing a multiple scales approximation in which the fast time scale is treated as discrete but the slow time scale is treated as continuous. The resulting multiple scales solutions are initially accurate, but fail to be asymptotic at late times due to changes in dominant balance that occur on the slow time scale. We address these problems by determining the variable rescalings associated with the late-time distinguished limit and applying the method of matched asymptotic expansions. This process leads to novel uniformly-valid asymptotic solutions that could not have been obtained using the method of multiple scales or the method of matched asymptotic expansions alone. While we concentrate on the discrete logistic equation throughout, the methods that we develop lead to general strategies for obtaining asymptotic solutions to singularlyperturbed difference equations, and we discuss clear indicators of when multiple scales, matched asymptotic expansions, or a combined approach might be appropriate
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/s11071-016-2764-7

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Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author


More from this funder
Funding agency for:
Lustri, C
Grant:
FL120100094


Publisher:
Springer International Publishing AG
Journal:
Nonlinear Dynamics More from this journal
Volume:
85
Issue:
2
Pages:
1345–1362
Publication date:
2016-04-18
Acceptance date:
2016-03-28
DOI:
EISSN:
1573-269X
ISSN:
0924-090X


Pubs id:
pubs:616136
UUID:
uuid:f6ee7381-f2fb-4c41-8170-1c3c68d556a2
Local pid:
pubs:616136
Source identifiers:
616136
Deposit date:
2016-04-16
ARK identifier:

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