English
Related papers

Related papers: Invariant measures for stochastic functional diffe…

200 papers

We establish the continuity of the Markovian semigroup associated with strong solutions of the stochastic 3D Primitive Equations, and prove the existence of an invariant measure. The proof is based on new moment bounds for strong solutions.…

Analysis of PDEs · Mathematics 2015-06-17 Nathan Glatt-Holtz , Igor Kukavica , Vlad Vicol , Mohammed Ziane

Motivated by the application of Lyapunov methods to partial differential equations (PDEs), we study functional inequalities of the form $f(I_1(u),\ldots,I_k(u))\geq 0$ where $f$ is a polynomial, $u$ is any function satisfying prescribed…

Optimization and Control · Mathematics 2022-01-04 Giovanni Fantuzzi

In this paper we provide sufficient conditions for stochastic invariance of closed convex cones for stochastic partial differential equations (SPDEs) of jump-diffusion type, and clarify when these conditions are necessary. Our results apply…

Probability · Mathematics 2025-11-21 Stefan Tappe

The paper is devoted to an analysis of optimality conditions for nonsmooth multidimensional problems of the calculus of variations with various types of constraints, such as additional constraints at the boundary and isoperimetric…

Optimization and Control · Mathematics 2021-07-27 M. V. Dolgopolik

We completely characterize all nonlinear partial differential equations leaving a given finite-dimensional vector space of analytic functions invariant. Existence of an invariant subspace leads to a re duction of the associated dynamical…

solv-int · Physics 2007-05-23 Niky Kamran , Robert Milson , Peter Olver

By constructing successful couplings, the derivative formula, gradient estimates and Harnack inequalities are established for the semigroup associated with a class of degenerate functional stochastic differential equations.

Probability · Mathematics 2011-09-20 Jianhai Bao , Feng-Yu Wang , Chenggui Yuan

The classical result by It\^o on the existence of strong solutions of stochastic differential equations (SDEs) with Lipschitz coefficients can be extended to the case where the drift is only measurable and bounded. These generalizations are…

Probability · Mathematics 2021-10-05 Gunther Leobacher , Michaela Szölgyenyi , Stefan Thonhauser

In this paper, the existence conditions of nonuniform mean-square exponential dichotomy (NMS-ED) for a linear stochastic differential equation (SDE) are established. The difference of the conditions for the existence of a nonuniform…

Dynamical Systems · Mathematics 2019-02-12 Hailong Zhu , Li Chen , Xiuli He

We address the long time behavior of solutions of the stochastic Korteweg-de Vries equation $ du + (\partial^3_x u +u\partial_x u +\lambda u)dt = f dt+\Phi dW_t$ on ${\mathbb R}$ where $f$ is a deterministic force. We prove that the Feller…

Analysis of PDEs · Mathematics 2016-01-27 Ibrahim Ekren , Igor Kukavica , Mohammed Ziane

In this article, we solve the problem of the long time behaviour of transition probabilities of time-inhomogeneous Markov processes and give a unified approach to stochastic differential equations (SDEs) with periodic, quasi-periodic,…

Probability · Mathematics 2023-07-18 Chunrong Feng , Baoyou Qu , Huaizhong Zhao

In this paper we study the problems of invariant and ergodic measures under G-expectation framework. In particular, the stochastic differential equations driven by G-Brownian motion have the unique invariant and ergodic measures. Moreover,…

Probability · Mathematics 2014-09-12 Mingshang Hu , Hanwu Li , Falei Wang , Guoqiang Zheng

Approximating the invariant measure and the expectation of the functionals for parabolic stochastic partial differential equations (SPDEs) with non-globally Lipschitz coefficients is an active research area and is far from being well…

Numerical Analysis · Mathematics 2019-06-03 Jianbo Cui , Jialin Hong , Liying Sun

We establish convergence to an invariant measure as time tends to infinity, for a large class of (possibly non-Markovian) stochastic volatility models. Our arguments are based on a novel coupling idea for Markov chains which also extends to…

Probability · Mathematics 2021-08-30 Balázs Gerencsér , Miklós Rásonyi

In this paper, we discuss the relationships between stability and almost periodicity for solutions of stochastic differential equations. Our essential idea is to get stability of solutions or systems by some inherited properties of Lyapunov…

Dynamical Systems · Mathematics 2016-09-20 Yong Li , Zhenxin Liu , Wenhe Wang

Stochastic differential equations have proved to be a valuable governing framework for many real-world systems which exhibit ``noise'' or randomness in their evolution. One quality of interest in such systems is the shape of their…

Dynamical Systems · Mathematics 2025-02-04 David Sabin-Miller , Daniel M. Abrams

We develop a general framework for establishing non-uniqueness of stationary measures for stochastically forced dynamical systems possessing an almost surely invariant submanifold. Our main abstract result provides sufficient conditions for…

Dynamical Systems · Mathematics 2025-06-24 Jacob Bedrossian , Alex Blumenthal , Sam Punshon-Smith

In this paper we show the existence and uniqueness of strong solutions for a large class of backward SPDE where the coefficients satisfy a specific type Lyapunov condition instead of the classical coercivity condition. Moreover, based on…

Probability · Mathematics 2019-10-08 Wei Liu , Rongchan Zhu

We prove the existence of weak solutions to McKean-Vlasov SDEs defined on a domain $D \subseteq \mathbb{R}^d$ with continuous and unbounded coefficients that satisfy Lyapunov type conditions, where the Lyapunov function may depend on…

Probability · Mathematics 2020-10-01 William Hammersley , David Šiška , Lukasz Szpruch

We develop the optimal transportation approach to modified log-Sobolev inequalities and to isoperimetric inequalities. Various sufficient conditions for such inequalities are given. Some of them are new even in the classical log-Sobolev…

Probability · Mathematics 2007-09-26 Franck Barthe , Alexander V. Kolesnikov

Functional inequalities such as the Poincar\'e and log-Sobolev inequalities quantify convergence to equilibrium in continuous-time Markov chains by linking generator properties to variance and entropy decay. However, many applications,…

Probability · Mathematics 2026-02-20 Bastian Hilder , Patrick van Meurs , Upanshu Sharma
‹ Prev 1 3 4 5 6 7 10 Next ›