弱相互作用非线性Snell包络的混沌传播结果

IF 1.1 2区 数学 Q3 STATISTICS & PROBABILITY
Boualem Djehiche , Roxana Dumitrescu , Jia Zeng
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引用次数: 0

摘要

本文建立了弱相互作用非线性Snell包络的混沌传播结果,该包络收敛于一类具有跳跃、右连续和左受限障碍的平均场反射后向随机微分方程(BSDEs),其中以解的y分量分布表示的平均场相互作用同时进入驾驶员和下障碍物。在系数的温和Lipschitz条件和可积性条件下,利用平均场反射BSDE的非线性最优停止问题解的表征,证明了具有跳跃的平均场反射BSDE和相应的弱相互作用粒子系统解的存在唯一性。然后,我们为整个解决方案(Y,Z,U,K)提供了一个混沌结果的传播,由于障碍对解决方案的依赖性和跳跃的存在,这需要新的技术结果。特别地,我们得到了右连续左限制过程的一个新的大数型结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A propagation of chaos result for weakly interacting nonlinear Snell envelopes
In this article, we establish a propagation of chaos result for weakly interacting nonlinear Snell envelopes which converge to a class of mean-field reflected backward stochastic differential equations (BSDEs) with jumps and right-continuous and left-limited obstacle, where the mean-field interaction in terms of the distribution of the Y-component of the solution enters both the driver and the lower obstacle. Under mild Lipschitz and integrability conditions on the coefficients, we prove existence and uniqueness of the solution to both the mean-field reflected BSDEs with jumps and the corresponding system of weakly interacting particles by using a new approach relying on the characterization of the solution of a mean-field reflected BSDE in terms of a nonlinear optimal stopping problem of mean-field type. We then provide a propagation of chaos result for the whole solution (Y,Z,U,K), which requires new technical results due to the dependence of the obstacle on the solution and the presence of jumps. In particular, we obtain a new law of large number type result for right-continuous and left-limited processes.
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来源期刊
Stochastic Processes and their Applications
Stochastic Processes and their Applications 数学-统计学与概率论
CiteScore
2.90
自引率
7.10%
发文量
180
审稿时长
23.6 weeks
期刊介绍: Stochastic Processes and their Applications publishes papers on the theory and applications of stochastic processes. It is concerned with concepts and techniques, and is oriented towards a broad spectrum of mathematical, scientific and engineering interests. Characterization, structural properties, inference and control of stochastic processes are covered. The journal is exacting and scholarly in its standards. Every effort is made to promote innovation, vitality, and communication between disciplines. All papers are refereed.
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