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We examine existence and uniqueness of strong solutions of multi-dimensional mean-field stochastic differential equations with irregular drift coefficients. Furthermore, we establish Malliavin differentiability of the solution and show…

Probability · Mathematics 2019-12-13 Martin Bauer , Thilo Meyer-Brandis

In this paper we consider a class of stochastic differential equations driven by subordinate Brownian motion with Markovian switching. We use Malliavin calculus to study the smoothness of the density for the solution under uniform…

Probability · Mathematics 2017-11-27 Xiaobin Sun , Yingchao Xie

We study the adapted solution, numerical methods, and related convergence analysis for a unified backward stochastic partial differential equation (B-SPDE). The equation is vector-valued, whose drift and diffusion coefficients may involve…

Probability · Mathematics 2024-02-21 Wanyang Dai

This paper is concerned with a class of stochastic differential equations with Markovian switching. The Malliavin calculus is used to study the smoothness of the density of the solution under a H\"{o}rmander type condition. Furthermore, we…

Probability · Mathematics 2017-10-20 Yaozhong Hu , David Nualart , Xiaobin Sun , Yingchao Xie

In this paper, we provide conditions which ensure that stochastic Lipschitz BSDEs admit Malliavin differentiable solutions. We investigate the problem of existence of densities for the first components of solutions to general path-dependent…

Probability · Mathematics 2016-02-22 Thibaut Mastrolia

The stochastic partial differential equation analyzed in this work, is motivated by a simplified mesoscopic physical model for phase separation. It describes pattern formation due to adsorption and desorption mechanisms involved in surface…

Probability · Mathematics 2018-02-20 D. C. Antonopoulou , D. Farazakis , G. D. Karali

In this short note, we establish Malliavin differentiability of McKean-Vlasov Stochastic Differential Equations (MV-SDEs) with drifts satisfying both a locally Lipschitz and a one-sided Lipschitz assumption, and where the diffusion…

Probability · Mathematics 2025-05-09 Goncalo dos Reis , Zac Wilde

We study the one-dimensional stochastic heat equation with unbounded, nonlinear,Lipschitz coefficients with Dirichlet boundary conditions. Using Malliavin calculus, we construct a piecewise approximation of the solution u and establish…

Analysis of PDEs · Mathematics 2025-02-27 D. Farazakis , G. Karali , A. Stavrianidi

Unique existence of analytically strong solutions to stochastic partial differential equations (SPDE) with drift given by the subdifferential of a quasi-convex function and with general multiplicative noise is proven. The proof applies a…

Probability · Mathematics 2011-04-22 Benjamin Gess

We consider a one-dimensional Stochastic Differential Equation with reflection where we allow the drift to be merely bounded and measurable. It is already known that such equations have a unique strong solution. Recently, it has been shown…

Probability · Mathematics 2014-10-03 Torstein Nilssen , Tusheng Zhang

We study quasilinear degenerate parabolic-hyperbolic stochastic partial differential equations with general multiplicative noise within the framework of kinetic solutions. Our results are twofold: First, we establish new regularity results…

Probability · Mathematics 2017-09-19 Benjamin Gess , Martina Hofmanová

By using Bismut's approach about the Malliavin calculus with jumps, we study the regularity of the distributional density for SDEs driven by degenerate additive L\'evy noises. Under full H\"ormander's conditions, we prove the existence of…

Probability · Mathematics 2014-01-21 Yulin Song , Xicheng Zhang

In this paper we are interested in a quasi-linear hyperbolic stochastic differential equation (HSPDE) when the vector field is merely bounded and measurable. Although the deterministic counterpart of such equation may be ill-posed (in the…

Probability · Mathematics 2025-09-08 Antoine-Marie Bogso , Moustapha Dieye , Olivier Menoukeu Pamen , Frank Proske

In this paper we provide new conditions for the Malliavin differentiability of solutions of Lipschitz or quadratic BSDEs. Our results rely on the interpretation of the Malliavin derivative as a G{\^a}teaux derivative in the directions of…

Probability · Mathematics 2015-08-25 Thibaut Mastrolia , Dylan Possamaï , Anthony Réveillac

In this paper we introduce a new technique to construct unique strong solutions of SDEs with singular coefficients driven by certain Levy processes. Our method which is based on Malliavin calculus does not rely on a pathwise uniqueness…

Probability · Mathematics 2013-05-10 Sven Haadem , Frank Proske

The regularity and characterization of solutions to degenerate, quasilinear SPDE is studied. Our results are two-fold: First, we prove regularity results for solutions to certain degenerate, quasilinear SPDE driven by Lipschitz continuous…

Probability · Mathematics 2014-05-23 Benjamin Gess , Michael Röckner

The stochastic partial differential equation analyzed in this work is the Cahn-Hilliard equation perturbed by an additive fractional white noise (fractional in time and white in space). We work in the case of one spatial dimension and apply…

Probability · Mathematics 2026-01-16 Dimitrios Dimitriou , Dimitris Farazakis , Georgia Karali

We investigate the estimates of the density for the traditional Euler-Maruyama discretization of stochastic differential equations (SDEs) with multiplicative noise. Our estimates focus on two key aspects: (1) the $L^p$-upper bounds for…

Numerical Analysis · Mathematics 2025-08-11 Lei Li , Mengchao Wang , Yuliang Wang

Under the uniform H\"{o}rmander's hypothesis we study smoothness and exponential bounds of the density of the law of the solution of a stochastic differential equation (SDE) with locally Lipschitz drift that satisfy a monotonicity…

Probability · Mathematics 2024-07-23 Cristina Anton

In this paper, we establish a necessary and sufficient condition for the existence and regularity of the density of the solution to a semilinear stochastic (fractional) heat equation with measure-valued initial conditions. Under a mild cone…

Probability · Mathematics 2016-11-15 Le Chen , Yaozhong Hu , David Nualart