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An approach for the description of stochastic systems is derived. Some of the variables in the system are studied forward in time, others backward in time. The approach is based on a perturbation expansion in the strength of the coupling…

统计力学 · 物理学 2021-08-04 Piero Olla

This paper is devoted to the study of hyperbolic systems of linear partial differential equations perturbed by a Brownian motion. The existence and uniqueness of solutions are proved by an energy method. The specific features of this class…

概率论 · 数学 2021-09-29 Adnan Aboulalaa

In this article, we present a general methodology for control problems driven by the Brownian motion filtration including non-Markovian and non-semimartingale state processes controlled by mutually singular measures. The main result of this…

概率论 · 数学 2018-01-19 Dorival Leão , Alberto Ohashi , Francys Souza

We solve the Skorokhod embedding problem for a class of Gaussian processes including Brownian motion with non-linear drift. Our approach relies on solving an associated strongly coupled system of Forward Backward Stochastic Differential…

概率论 · 数学 2015-12-17 Alexander Fromm , Peter Imkeller , David J. Prömel

We consider a general open system dynamics and we provide a recursive method to derive the associated non-Markovian master equation in a perturbative series. The approach relies on a momenta expansion of the open system evolution. Unlike…

量子物理 · 物理学 2018-02-26 Giulio Gasbarri , Luca Ferialdi

We consider the modified Emden equation (MEE) and introduce its most general solution, using the most general solution for the simple harmonic oscillator's linear dynamical equation (i.e., the initial conditions shall be identified by the…

经典物理 · 物理学 2023-11-06 Omar Mustafa

Pathwise uniqueness for multi-dimensional stochastic McKean--Vlasov equation is established under moderate regularity conditions on the drift and diffusion coefficients. Both drift and diffusion depend on the marginal measure of the…

概率论 · 数学 2023-01-02 Alexander Veretennikov

The information encoded into an open quantum system that evolves under a Markovian dynamics is always monotonically non-increasing. Nonetheless, for a given quantifier of the information contained in the system, it is in general not clear…

量子物理 · 物理学 2020-09-17 Dario De Santis , Markus Johansson

In this paper, we study the numerical method for solving forward-backward stochastic differential equations driven by $G$-Brownian motion ($G$-FBSDEs) which correspond to fully nonlinear partial differential equations (PDEs). First, we give…

数值分析 · 数学 2022-05-19 Mingshang Hu , Lianzi Jiang

In this paper, we study the option pricing problems for rough volatility models. As the framework is non-Markovian, the value function for a European option is not deterministic; rather, it is random and satisfies a backward stochastic…

数理金融 · 定量金融 2020-08-05 Christian Bayer , Jinniao Qiu , Yao Yao

We study optimal stochastic control problems of general coupled systems of forward-backward stochastic differential equations with jumps. By means of the It\^o-Ventzell formula the system is transformed to a controlled backward stochastic…

最优化与控制 · 数学 2017-01-12 Bernt Øksendal , Agnès Sulem , Tusheng Zhang

In this paper, we propose a new notion of Forward--Backward Martingale Problem (FBMP), and study its relationship with the weak solution to the forward--backward stochastic differential equations (FBSDEs). The FBMP extends the idea of the…

概率论 · 数学 2009-01-20 Jin Ma , Jianfeng Zhang , Ziyu Zheng

In this paper we consider an alternative formulation of a class of stochastic wave and master equations with scalar noise that are used in quantum optics for modelling open systems and continuously monitored systems. The reformulation is…

量子物理 · 物理学 2009-11-10 I. Kurniawan , M. R. James

Non-Markovian master equations describe general open quantum systems when no approximation is made. We provide the exact closed master equation for the class of Gaussian, completely positive, trace preserving, non-Markovian dynamics. This…

量子物理 · 物理学 2016-03-30 L. Ferialdi

We introduce a class of stochastic processes based on symmetric $\alpha$-stable processes. These are obtained by taking Markov processes and replacing the time parameter with the modulus of a symmetric $\alpha$-stable process. We call them…

概率论 · 数学 2016-09-07 Erkan nane

This article deals with the numerical resolution of Markovian backward stochastic differential equations (BSDEs) with drivers of quadratic growth with respect to $z$ and bounded terminal conditions. We first show some bound estimates on the…

概率论 · 数学 2012-01-10 Adrien Richou

This manuscript is a self-contained overview of essential results of stochastic calculus and stochastic differential equations, and their connection with final-value problems for second order linear PDEs.

概率论 · 数学 2015-04-15 Rafael Serrano

A simple dynamical model over a discrete classical state space is presented. In a certain limit, it reduces to one in a class of models subsuming Bell's field-theoretic version of Bohmian mechanics. But it exhibits the massive parallelism…

量子物理 · 物理学 2010-03-17 Eric Dennis

This paper studies the pricing problem in which the underlying asset follows a non-Markovian stochastic volatility model. Classical partial differential equation methods face significant challenges in this context, as the option prices…

数理金融 · 定量金融 2026-05-29 Jingtang Ma , Xianglin Wu , Wenyuan Li

This paper is devoted to a general solvability of multi-dimensional non-Markovian backward stochastic differential equations (BSDEs) with interactively quadratic generators. Some general structures of the generator $g$ are posed for both…

概率论 · 数学 2024-10-14 Shengjun Fan , Ying Hu , Shanjian Tang
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