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In this paper, we establish a local representation theorem for generators of reflected backward stochastic differential equations (RBSDE), whose generators are continuous with linear growth. It generalizes some known representation theorems…

Probability · Mathematics 2017-02-01 Shiqiu Zheng , Shoumei Li

Singular boundary value problems (SBVPs) arise in various fields of Mathematics, Engineering and Physics such as boundary layer theory, gas dynamics, nuclear physics, nonlinear optics, etc. The present monograph is devoted to systems of…

Classical Analysis and ODEs · Mathematics 2019-02-01 Naseer Ahmad Asif

In this paper, we deal with a class of multivalued backward doubly stochastic differential equations with time delayed coefficients. Based on a slight extension of the existence and uniqueness of solutions for backward doubly stochastic…

Probability · Mathematics 2013-08-15 Wen Lu , Yong Ren , Lanying Hu

We study system design problems stated as parameterized stochastic programs with a chance-constraint set. We adopt a Bayesian approach that requires the computation of a posterior predictive integral which is usually intractable. In…

Machine Learning · Statistics 2020-01-07 Prateek Jaiswal , Harsha Honnappa , Vinayak A. Rao

Backward Stochastic Differential Equations (BSDEs) have been widely employed in various areas of social and natural sciences, such as the pricing and hedging of financial derivatives, stochastic optimal control problems, optimal stopping…

Numerical Analysis · Mathematics 2023-04-10 Jared Chessari , Reiichiro Kawai , Yuji Shinozaki , Toshihiro Yamada

We establish a general existence and uniqueness of integrable adapted solutions to scalar backward stochastic differential equations with integrable parameters, where the generator $g$ has an iterated-logarithmic uniform continuity in the…

Probability · Mathematics 2023-07-24 Shengjun Fan , Ying Hu , Shanjian Tang

The paper focuses on solving one class of Volterra equations of the first kind, which is characterized by the variability of all integration limits. These equations were introduced in connection with the problem of identifying nonsymmetric…

Dynamical Systems · Mathematics 2021-02-03 Svetlana Solodusha , Ekaterina Antipina

This paper deals with the problem of existence and uniqueness of a solution for a backward stochastic differential equation (BSDE for short) with one reflecting barrier in the case when the terminal value, the generator and the obstacle…

Probability · Mathematics 2008-07-14 Said Hamadene , Alexandre Popier

In this article, we introduce the concept of admitted Lie group of transformations for both backward stochastic differential equations (BSDEs) and forward backward stochastic differential equations (FBSDEs), following the approach of…

Probability · Mathematics 2025-06-13 Anas Ouknine , Paul Lescot

We derive formulae for the calculation of Taylor coefficients of solutions to systems of Volterra integral equations, both linear and nonlinear, either without singularities or with singularities of Abel type and logarithmic type. We also…

General Mathematics · Mathematics 2007-05-23 S. A. Belbas

By analogy with the theory of Backward Stochastic Differential Equations, we define Backward Stochastic Difference Equations on spaces related to discrete time, finite state processes. This paper considers these processes as constructions…

Probability · Mathematics 2010-07-12 Samuel N. Cohen , Robert J. Elliott

The initial value problem for an evolution equation of type $v' + Av + BKv = f$ is studied, where $A:V_A \to V_A'$ is a monotone, coercive operator and where $B:V_B \to V_B'$ induces an inner product. The Banach space $V_A$ is not required…

Analysis of PDEs · Mathematics 2018-06-19 André Eikmeier , Etienne Emmrich , Hans-Christian Kreusler

In this paper we study different algorithms for backward stochastic differential equations (BSDE in short) basing on random walk framework for 1-dimensional Brownian motion. Implicit and explicit schemes for both BSDE and reflected BSDE are…

Probability · Mathematics 2009-09-23 Shige Peng , Mingyu Xu

The paper considers the integral Volterra equations of the first kind which are related to the inverse boundary-value heat conduction problem. The algorithms have been developed to numerically solve the respective integral equations, which…

Numerical Analysis · Mathematics 2014-07-08 Svetlana V. Solodusha , Natalia M. Yaparova

In this paper we propose a new kind of high order numerical scheme for backward stochastic differential equations(BSDEs). Unlike the traditional $\theta$-scheme, we reduce truncation errors by taking $\theta$ carefully for every subinterval…

Numerical Analysis · Mathematics 2018-08-08 Chol-Kyu Pak , Mun-Chol Kim , Chang-Ho Rim

Pathwise uniqueness is established for a class of one-dimensional stochastic Volterra equations driven by Brownian motion with singular kernels and H\"older continuous diffusion coefficients. Consequently, the existence of unique strong…

Probability · Mathematics 2025-03-03 David J. Prömel , David Scheffels

We formulate and analyze a hybrid system model that involves Volterra integral operators with multiple integrals and two types of impulsive terms. We give a constructive proof, via an iteration method, of existence and uniqueness of…

Classical Analysis and ODEs · Mathematics 2007-05-23 S. A. Belbas , ; Jong Seo Park

In this paper, we study the existence and uniqueness of solutions for several classes of stochastic evolution equations with non-Lipschitz coefficients, that is, backward stochastic evolution equations, stochastic Volterra type evolution…

Probability · Mathematics 2008-01-11 Xicheng Zhang

In this paper we consider two classes of backward stochastic differential equations. Firstly, under a Lipschitz-type condition on the generator of the equation, which can also be unbounded, we give sufficient conditions for the existence of…

Probability · Mathematics 2018-03-08 Bujar Gashi , Jiajie Li

The existence of weak solutions is established for stochastic Volterra equations with time-inhomogeneous coefficients allowing for general kernels in the drift and convolutional or bounded kernels in the diffusion term. The presented…

Probability · Mathematics 2023-11-21 David J. Prömel , David Scheffels