2003
DOI: 10.1155/s1110757x03203077
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Time averaging for functional differential equations

Abstract: We present a result on the averaging for functional differential equations on finite time intervals. The result is formulated in both classical mathematics and nonstandard analysis; its proof uses some methods of nonstandard analysis.

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Cited by 8 publications
(6 citation statements)
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References 15 publications
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“…For interested readers, Nonstandard Analysis in Practice [3] is a recommended book deal-ing with at least nine fields where non standard analysis has been used. One can read about the perturbation theory of ordinary differential equations in [2,10,14,18,19,25]. To the binary undefined predicate ∈ of the classical Set Theory ZFC (Zermelo-Fraenkel plus axiom of choice), a new unary undefined predicate standard (st) is joined.…”
Section: External Formulationsmentioning
confidence: 99%
“…For interested readers, Nonstandard Analysis in Practice [3] is a recommended book deal-ing with at least nine fields where non standard analysis has been used. One can read about the perturbation theory of ordinary differential equations in [2,10,14,18,19,25]. To the binary undefined predicate ∈ of the classical Set Theory ZFC (Zermelo-Fraenkel plus axiom of choice), a new unary undefined predicate standard (st) is joined.…”
Section: External Formulationsmentioning
confidence: 99%
“…In [6] and [7], the authors stated very nice averaging results for retarded functional differential equations employing the tools of non-standard analysis. Their results encompass, for instance, the results by J. Hale and S. Verduyn Lunel in [3].…”
Section: Introductionmentioning
confidence: 99%
“…The conditions we assume on the right-hand sides of the RFDEs are more general than those considered in [3,6] or [7]. Indeed, we consider that the right-hand sides of the equations are Kurzweil-Henstock integrable functions.…”
Section: Introductionmentioning
confidence: 99%
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“…Recently, in [74] and [75], the authors stated averaging results for FDEs employing the tools of non-standard analysis. Also, based in such papers, the authors of [35] improved the results from [74] and [75] using standard analysis though.…”
Section: Non-periodic Averaging Principlesmentioning
confidence: 99%