2022
DOI: 10.15559/21-vmsta195
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Averaging principle for the one-dimensional parabolic equation driven by stochastic measure

Abstract: A stochastic parabolic equation on [0, T ] × R driven by a general stochastic measure is considered. The averaging principle for the equation is established. The convergence rate is compared with other results on related topics.

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Cited by 4 publications
(3 citation statements)
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“…and the same estimates hold for 24) and ( 23), we obtain (12); in (23) we can set, for example, A = 1.…”
Section: Lemma 3 Assume That the Function V(t X)mentioning
confidence: 71%
See 1 more Smart Citation
“…and the same estimates hold for 24) and ( 23), we obtain (12); in (23) we can set, for example, A = 1.…”
Section: Lemma 3 Assume That the Function V(t X)mentioning
confidence: 71%
“…Note that regularity of the solution was proved in [2], the solution's convergence in the case of integrator's convergence was proved in [18] and the averaging principle for such an equation was established in [12]. The asymptotic behavior of the moments of solutions of a stochastic differential system driven by a Brownian motion was considered in [5].…”
Section: Introductionmentioning
confidence: 99%
“…The recent results for the equations driven by stochastic measures may be found in [2], [9], [10]. The rest of the paper is organized as follows.…”
Section: Introductionmentioning
confidence: 99%