2014
DOI: 10.4310/cms.2014.v12.n5.a1
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Iterated averaging of three-scale oscillatory systems

Abstract: A theory of iterated averaging is developed for a class of highly oscillatory ordinary differential equations (ODEs) with three well separated time scales. The solutions of these equations are assumed to be (almost) periodic in the fastest time scales. It is proved that the dynamics on the slowest time scale can be approximated by an effective ODE obtained by averaging out oscillations. In particular, the effective dynamics of the considered class of ODEs is always deterministic and does not show any stochasti… Show more

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Cited by 8 publications
(9 citation statements)
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“…The results of the previous Section yield a powerful description of the asymptotic behavior of the doubly singular limit described by (1). These results can be extended further than assuming an integer power (greater than 2) relationship between the small parameters and δ however.…”
Section: Generic Extensions From Integer Powersmentioning
confidence: 69%
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“…The results of the previous Section yield a powerful description of the asymptotic behavior of the doubly singular limit described by (1). These results can be extended further than assuming an integer power (greater than 2) relationship between the small parameters and δ however.…”
Section: Generic Extensions From Integer Powersmentioning
confidence: 69%
“…The current investigation is of particular interest in a geophysical context when considered in light of the result of [41] that indicates that QG dominates the solution for sufficiently long times for solutions of the hydrostatic primitive equations. This relies on the fact that for this system (as in the case of the Boussinesq system considered in [14,43]) and the corresponding asymptotic reduction, the influence of the fast waves on the slow dynamics vanishes to O (1). We show that a similar condition holds for the reduced dynamics of the Boussinesq system when two distinct fast time scales are considered.…”
Section: Introductionmentioning
confidence: 70%
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“…The main objective of many multiscale methods is efficient numerical approximations of ξ(u(t)) only. The general strategy of our algorithm is based on such multiscale methods for HiOsc ODEs that only resolve the macroscopic behavior of a system as specified by the slow variables [3,4,5,6,7,8,25,54]. In this respect, the algorithms listed above are different from other multiscale methods that resolve all scales of the dynamics, for example, multi-level methods or high-order asymptotic expansions [17,18,19,44,45].…”
Section: Fast Oscillations and Pararealmentioning
confidence: 99%