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The aim of this paper is to establish the existence and uniqueness of the solution to a system of nonlinear fully coupled forward-backward doubly stochastic differential equations with Poisson jumps. Our system is Markovian in the sense…

Probability · Mathematics 2018-09-19 AbdulRahman Al-Hussein , Boulakhras Gherbal

In this paper we develop a new approach to stochastic evolution equations with an unbounded drift $A$ which is dependent on time and the underlying probability space in an adapted way. It is well-known that the semigroup approach to…

Probability · Mathematics 2014-02-28 Matthijs Pronk , Mark Veraar

This short survey article stems from recent progress on critical cases of stochastic evolution equations in variational formulation with additive, multiplicative or gradient noises. Typical examples appear as the limit cases of the…

Probability · Mathematics 2025-10-24 Ioana Ciotir , Dan Goreac , Jonas M. Tölle

We extend the Yamada-Watanabe condition for pathwise uniqueness to stochastic differential equations with jumps, in the special case where small jumps are summable.

Probability · Mathematics 2009-10-12 Reinhard Hoepfner

We study the scaling limits of stochastic gradient descent (SGD) with constant step-size in the high-dimensional regime. We prove limit theorems for the trajectories of summary statistics (i.e., finite-dimensional functions) of SGD as the…

Machine Learning · Statistics 2023-08-21 Gerard Ben Arous , Reza Gheissari , Aukosh Jagannath

We study the dynamics of a continuous-time model of the Stochastic Gradient Descent (SGD) for the least-square problem. Indeed, pursuing the work of Li et al. (2019), we analyze Stochastic Differential Equations (SDEs) that model SGD either…

Machine Learning · Computer Science 2024-07-03 Adrien Schertzer , Loucas Pillaud-Vivien

For a mixed stochastic differential equation involving standard Brownian motion and an almost surely H\"older continuous process $Z$ with H\"older exponent $\gamma>1/2$, we establish a new result on its unique solvability. We also establish…

Probability · Mathematics 2012-11-13 Yuliya Mishura , Georgiy Shevchenko

In this paper, we are devoted to the numerical methods for mean-field stochastic differential equations with jumps (MSDEJs). First by using the mean-field It\^o formula [Sun, Yang and Zhao, Numer. Math. Theor. Meth. Appl., 10 (2017),…

Numerical Analysis · Mathematics 2020-01-15 Yabing Sun , Weidong Zhao

In this paper we obtain results for the existence and uniqueness of solutions to coupled Forward-Backward Stochastic Differential Equations (FBSDEs) with jumps defined on a random environment. This environment corresponds to a…

Probability · Mathematics 2024-01-19 Daniel Hernández-Hernández , Joshué Helí Ricalde-Guerrero

We establish an integration by parts formula based on jumps times in an abstract framework in order to study the regularity of the law for processes solution of stochastic differential equations with jumps.

Probability · Mathematics 2012-09-14 Vlad Bally , Emmanuelle Clement

In this paper we consider second order evolution equations with unbounded dynamic feedbacks. Under a regularity assumption we show that observability properties for the undamped problem imply decay estimates for the damped problem. We…

Analysis of PDEs · Mathematics 2014-07-14 Zainab Abbas , Kais Ammari , Denis Mercier

We study the problem of approximation of solutions of the Skorokhod problem and reflecting stochastic differential equations (SDEs) with jumps by sequences of solutions of equations with penalization terms. Applications to discrete…

Statistics Theory · Mathematics 2013-12-11 Weronika Łaukajtys , Leszek Słomiński

We formulate a new class of stochastic partial differential equations (SPDEs), named high-order vector backward SPDEs (B-SPDEs) with jumps, which allow the high-order integral-partial differential operators into both drift and diffusion…

Probability · Mathematics 2011-05-05 Wanyang Dai

We establish a recursive representation that fully decouples jumps from a large class of multivariate inhomogeneous stochastic differential equations with jumps of general time-state dependent unbounded intensity, not of L\'evy-driven type…

Probability · Mathematics 2024-09-04 Qinjing Qiu , Reiichiro Kawai

In this paper, we combine deterministic splitting methods with a polynomial chaos expansion method for solving stochastic parabolic evolution problems. The stochastic differential equation is reduced to a system of deterministic equations…

Numerical Analysis · Mathematics 2021-07-02 Andreas Kofler , Tijana Levajković , Hermann Mena , Alexander Ostermann

In this paper, we establish the Stroock-Varadhan type support theorems for stochastic differential equations (SDEs) under Lyapunov conditions, which significantly improve the existing results in the literature where the coefficients of the…

Probability · Mathematics 2024-03-05 Qi Li , Jianliang Zhai , Tusheng Zhang

In this paper, we study the existence and uniqueness of solution to a system of nonlinear fully coupled forward-backward doubly stochastic differential equations with Poisson jumps. Our work is established in infinite dimensional separable…

Probability · Mathematics 2024-07-12 AbdulRahman Al-Hussein

In this paper, we study the weak irreducibility of stochastic delay differential equations(SDDEs) driven by pure jump noise. The main contribution of this paper is to provide a concise proof of weak irreducibility, releasing condition…

Probability · Mathematics 2025-09-03 Hao Yang , Jian Wang

In this paper we study backward stochastic differential equations (BSDEs) driven by the compensated random measure associated to a given pure jump Markov process X on a general state space K. We apply these results to prove well-posedness…

Probability · Mathematics 2013-02-05 Fulvia Confortola , Marco Fuhrman

We show the continuous dependence of solutions of linear nonautonomous second order parabolic partial differential equations (PDEs) with bounded delay on coefficients and delay. The assumptions are very weak: only convergence in the weak-*…

Analysis of PDEs · Mathematics 2022-07-19 Marek Kryspin , Janusz Mierczyński
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