Exponential Bounds for the Density of the Law of the Solution of an SDE with Locally Lipschitz Coefficients

Under the uniform Hörmander hypothesis, we study the smoothness and exponential bounds of the density of the law of the solution of a stochastic differential equation (SDE) with locally Lipschitz drift that satisfies a monotonicity condition. We extend the approach used for SDEs with globally Lipsch...

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Main Author: Cristina Anton
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Mathematics
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Online Access:https://www.mdpi.com/2227-7390/13/5/798
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author Cristina Anton
author_facet Cristina Anton
author_sort Cristina Anton
collection DOAJ
description Under the uniform Hörmander hypothesis, we study the smoothness and exponential bounds of the density of the law of the solution of a stochastic differential equation (SDE) with locally Lipschitz drift that satisfies a monotonicity condition. We extend the approach used for SDEs with globally Lipschitz coefficients and obtain estimates for the Malliavin covariance matrix and its inverse. Based on these estimates and using the Malliavin differentiability of any order of the solution of the SDE, we prove exponential bounds of the solution’s density law. These results can be used to study the convergence of implicit numerical schemes for SDEs.
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spelling doaj-art-0f3f5419f7014ed2889bb8bc771de04e2025-08-20T02:59:15ZengMDPI AGMathematics2227-73902025-02-0113579810.3390/math13050798Exponential Bounds for the Density of the Law of the Solution of an SDE with Locally Lipschitz CoefficientsCristina Anton0Department of Mathematics and Statistics, Grant MacEwan University, 5-103C, 10700-104 Ave., Edmonton, AB T5J 4S2, CanadaUnder the uniform Hörmander hypothesis, we study the smoothness and exponential bounds of the density of the law of the solution of a stochastic differential equation (SDE) with locally Lipschitz drift that satisfies a monotonicity condition. We extend the approach used for SDEs with globally Lipschitz coefficients and obtain estimates for the Malliavin covariance matrix and its inverse. Based on these estimates and using the Malliavin differentiability of any order of the solution of the SDE, we prove exponential bounds of the solution’s density law. These results can be used to study the convergence of implicit numerical schemes for SDEs.https://www.mdpi.com/2227-7390/13/5/798Malliavin covariance matrixHörmander’s conditionexponential bounds for densitymonotone growthstochastic differential equation
spellingShingle Cristina Anton
Exponential Bounds for the Density of the Law of the Solution of an SDE with Locally Lipschitz Coefficients
Mathematics
Malliavin covariance matrix
Hörmander’s condition
exponential bounds for density
monotone growth
stochastic differential equation
title Exponential Bounds for the Density of the Law of the Solution of an SDE with Locally Lipschitz Coefficients
title_full Exponential Bounds for the Density of the Law of the Solution of an SDE with Locally Lipschitz Coefficients
title_fullStr Exponential Bounds for the Density of the Law of the Solution of an SDE with Locally Lipschitz Coefficients
title_full_unstemmed Exponential Bounds for the Density of the Law of the Solution of an SDE with Locally Lipschitz Coefficients
title_short Exponential Bounds for the Density of the Law of the Solution of an SDE with Locally Lipschitz Coefficients
title_sort exponential bounds for the density of the law of the solution of an sde with locally lipschitz coefficients
topic Malliavin covariance matrix
Hörmander’s condition
exponential bounds for density
monotone growth
stochastic differential equation
url https://www.mdpi.com/2227-7390/13/5/798
work_keys_str_mv AT cristinaanton exponentialboundsforthedensityofthelawofthesolutionofansdewithlocallylipschitzcoefficients