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In this paper, we study existence and uniqueness to multidimensional Reflected Backward Stochastic Differential Equation in an open convex domain, allowing for oblique directions of reflection. In a Markovian framework, combining \emph{a…

Probability · Mathematics 2018-07-18 Jean-François Chassagneux , Adrien Richou

Most previous contributions to BSDEs, and the related theories of nonlinear expectation and dynamic risk measures, have been in the framework of continuous time diffusions or jump diffusions. Using solutions of BSDEs on spaces related to…

Computational Finance · Quantitative Finance 2010-01-14 Samuel N. Cohen , Robert J. Elliott

We discuss, by topological methods, the solvability of systems of second-order elliptic differential equations subject to functional boundary conditions under the presence of gradient terms in the nonlinearities. We prove the existence of…

Analysis of PDEs · Mathematics 2020-11-17 Stefano Biagi , Alessandro Calamai , Gennaro Infante

In \cite{HuTang2018ECP}, the existence of the solution is proved for a scalar linearly growing backward stochastic differential equation (BSDE) when the terminal value is $L\exp\left(\mu\sqrt{2\log(1+L)}\right)$-integrable for a positive…

Probability · Mathematics 2019-04-08 Shengjun Fan , Ying Hu

In this paper, we study a kind of constrained backward stochastic differential equations (BSDEs) such that the nonlinear expectation of the composition of a loss function and the solution remains above zero. The existence and uniqueness…

Probability · Mathematics 2025-11-24 Hanwu Li

We prove the existence of infinitely many nonnegative solutions to the following nonlocal elliptic partial differential equation involving singularities \begin{align} (-\Delta)_{p(\cdot)}^{s}…

Analysis of PDEs · Mathematics 2021-08-26 Sekhar Ghosh , Debajyoti Choudhuri , Ratan Kr. Giri

It is now established that under quite general circumstances, including in models with jumps, the existence of a solution to a reflected BSDE is guaranteed under mild conditions, whereas the existence of a solution to a doubly reflected…

Probability · Mathematics 2008-11-17 Stéphane Crépey , Anis Matoussi

Going from a scaling approach for birth/death processes, we investigate the scaling limit of solutions to non-Markovian stochastic control problems by studying the convergence of solutions to BSDEs driven a sequence of converging…

Probability · Mathematics 2020-10-06 Paul Jusselin , Thibaut Mastrolia

We provide new results on the existence of extremal solutions for discontinuous differential equations with a deviated argument which can be either delayed or advanced. The boundary condition is allowed to be discontinuous and to depend…

Classical Analysis and ODEs · Mathematics 2011-04-13 Rubén Figueroa

In the present work we employ, for the first time, backward stochastic differential equations (BSDEs) to study the optimal control of semi-Markov processes on finite horizon, with general state and action spaces. More precisely, we prove…

Optimization and Control · Mathematics 2015-05-27 Elena Bandini , Fulvia Confortola

With the terminal value $\xi^-$ admitting a certain exponential moment and $\xi^+$ admitting every exponential moments or being bounded, we establish several existence and uniqueness results for unbounded solutions of backward stochastic…

Probability · Mathematics 2024-04-08 Yan Wang , Xinying Li , Chuang Gu , Shengjun Fan

We consider killed Markov decision processes for countable models on a finite time-interval. Existence of a uniform $\varepsilon$-optimal policy is proven. We show the correctness of the fundamental equation. The optimal control problem is…

Optimization and Control · Mathematics 2013-04-10 Nestor Parolya , Yaroslav Yeleyko

In this paper we study one dimensional backward stochastic differential equations (BSDEs) with random terminal time not necessarily bounded or finite when the generator F(t,Y,Z) has a quadratic growth in Z. We provide existence and…

Probability · Mathematics 2013-10-21 Philippe Briand , Fulvia Confortola

Semilinear stochastic evolution equations with multiplicative L\'evy noise and monotone nonlinear drift are considered. Unlike other similar work we do not impose coercivity conditions on coefficients. Existence and uniqueness of the mild…

Probability · Mathematics 2013-12-03 Erfan Salavati , Bijan Z. Zangeneh

We study a multi-dimensional optimal execution problem in illiquid markets with both instantaneous and persistent price impact and stochastic resilience. In our model the value function can be described by a multi-dimensional backward…

Optimization and Control · Mathematics 2018-09-07 Ulrich Horst , Xiaonyu Xia

By imposing an additional integrability condition on the first component of the solution, this paper establishes an existence and uniqueness result for $L^1$ solutions of multidimensional backward stochastic differential equations (BSDEs)…

Probability · Mathematics 2025-09-16 Yuru Lai , Xinying Li , Shengjun Fan

Non-Archimedean analogs of Markov quasimeasures and stochastic processes are investigated. Thery are used for the development of stochastic antiderivations. The non-Archimedean analog of the It$\hat o$ formula is proved.

General Mathematics · Mathematics 2007-05-23 S. V. Ludkovsky

This article proposes a new approximation scheme for quadratic-growth BSDEs in a Markovian setting by connecting a series of semi-analytic asymptotic expansions applied to short-time intervals. Although there remains a condition which needs…

Computational Finance · Quantitative Finance 2018-05-24 Masaaki Fujii , Akihiko Takahashi

We consider a possibly anisotropic integro-differential semilinear equation, run by a nondecreasing and nontrivial nonlinearity. We prove that if the solution grows at infinity less than the order of the operator, then it must be constant.

Analysis of PDEs · Mathematics 2015-03-02 Alberto Farina , Enrico Valdinoci

We prove a Berry-Esseen theorem and Edgeworth expansions for partial sums of the form $S_N=\sum_{n=1}^{N}f_n(X_n,X_{n+1})$, where $\{X_n\}$ is a uniformly elliptic inhomogeneous Markov chain and $\{f_n\}$ is a sequence of uniformly bounded…

Probability · Mathematics 2021-11-09 Dmitry Dolgopyat , Yeor Hafouta