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.
“…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].…”
A stochastic parabolic equation on $[0,T]\times \mathbb{R}$ driven by a general stochastic measure, for which we assume only σ-additivity in probability, is considered. The asymptotic behavior of its solution as $t\to \infty $ is studied.
“…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].…”
A stochastic parabolic equation on $[0,T]\times \mathbb{R}$ driven by a general stochastic measure, for which we assume only σ-additivity in probability, is considered. The asymptotic behavior of its solution as $t\to \infty $ is studied.
The stochastic transport equation is considered where the randomness is given by a symmetric integral with respect to a stochastic measure. For a stochastic measure, only σ-additivity in probability and continuity of paths is assumed. Existence and uniqueness of a weak solution to the equation are proved.
We study the one-dimensional equation driven by a stochastic measure
μ
\mu
. For
μ
\mu
we assume only
σ
\sigma
-additivity in probability. Our results imply the global existence and uniqueness of the solution to the heat equation and the local existence and uniqueness of the solution to the Burgers equation. The averaging principle for such equation is studied.
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