Polynomial Recurrence for SDEs with a Gradient-Type Drift, Revisited

In this paper, polynomial recurrence bounds for a class of stochastic differential equations with a rotational symmetric gradient type drift and an additive Wiener process are established, as well as certain a priori moment inequalities for solutions. The key feature of this paper is that the approa...

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Main Author: Alexander Veretennikov
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/11/14/3096
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author Alexander Veretennikov
author_facet Alexander Veretennikov
author_sort Alexander Veretennikov
collection DOAJ
description In this paper, polynomial recurrence bounds for a class of stochastic differential equations with a rotational symmetric gradient type drift and an additive Wiener process are established, as well as certain a priori moment inequalities for solutions. The key feature of this paper is that the approach does not use Lyapunov functions because it is not clear how to construct them. The method based on Dynkin’s (nonrandom) chain of equations is applied instead. Another key feature is that the asymptotic conditions on the potential near infinity are assumed as inequalities—which allows for more flexibility compared to a single limit at infinity, making it less restrictive.
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spelling doaj.art-edfa9c230aaa49148fd963e8b645dd772023-11-18T20:20:29ZengMDPI AGMathematics2227-73902023-07-011114309610.3390/math11143096Polynomial Recurrence for SDEs with a Gradient-Type Drift, RevisitedAlexander Veretennikov0Kharkevich Institute for Information Transmission Problems, Moscow 127051, RussiaIn this paper, polynomial recurrence bounds for a class of stochastic differential equations with a rotational symmetric gradient type drift and an additive Wiener process are established, as well as certain a priori moment inequalities for solutions. The key feature of this paper is that the approach does not use Lyapunov functions because it is not clear how to construct them. The method based on Dynkin’s (nonrandom) chain of equations is applied instead. Another key feature is that the asymptotic conditions on the potential near infinity are assumed as inequalities—which allows for more flexibility compared to a single limit at infinity, making it less restrictive.https://www.mdpi.com/2227-7390/11/14/3096stochastic differential equationsgradient type driftpolynomial recurrence
spellingShingle Alexander Veretennikov
Polynomial Recurrence for SDEs with a Gradient-Type Drift, Revisited
Mathematics
stochastic differential equations
gradient type drift
polynomial recurrence
title Polynomial Recurrence for SDEs with a Gradient-Type Drift, Revisited
title_full Polynomial Recurrence for SDEs with a Gradient-Type Drift, Revisited
title_fullStr Polynomial Recurrence for SDEs with a Gradient-Type Drift, Revisited
title_full_unstemmed Polynomial Recurrence for SDEs with a Gradient-Type Drift, Revisited
title_short Polynomial Recurrence for SDEs with a Gradient-Type Drift, Revisited
title_sort polynomial recurrence for sdes with a gradient type drift revisited
topic stochastic differential equations
gradient type drift
polynomial recurrence
url https://www.mdpi.com/2227-7390/11/14/3096
work_keys_str_mv AT alexanderveretennikov polynomialrecurrenceforsdeswithagradienttypedriftrevisited