Stochastic representation for solutions of a system of coupled HJB-Isaacs equations with integral-partial operators
Sheng Luo, Wenqiang Li, Xun Li, Qingmeng Wei

TL;DR
This paper develops a stochastic representation for coupled HJB-Isaacs equations with integral-partial operators, linking stochastic differential games with jump processes to solutions of complex PDE systems.
Contribution
It introduces a new BSDE framework with Poisson measures for coupled HJBI equations, establishing existence, uniqueness, and the value of the associated stochastic differential game.
Findings
The lower value function is the viscosity solution of the coupled HJBI system.
The well-posedness and comparison theorem for the new BSDE are established.
The existence of the game value is proved under Isaacs' condition.
Abstract
In this paper, we focus on the stochastic representation of a system of coupled Hamilton-Jacobi-Bellman-Isaacs (HJB-Isaacs (HJBI), for short) equations which is in fact a system of coupled Isaacs' type integral-partial differential equation. For this, we introduce an associated zero-sum stochastic differential game, where the state process is described by a classical stochastic differential equation (SDE, for short) with jumps, and the cost functional of recursive type is defined by a new type of backward stochastic differential equation (BSDE, for short) with two Poisson random measures, whose wellposedness and a prior estimate as well as the comparison theorem are investigated for the first time. One of the Poisson random measures appearing in the SDE and the BSDE stems from the integral term of the HJBI equations; the other random measure in BSDE is introduced to link the coupling…
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Taxonomy
TopicsStochastic processes and financial applications · Hydrology and Drought Analysis
