Infinite-Horizon Non-Autonomous Zero-Sum Stochastic Recursive Differential Games and HJBI Equations
Sheng Huang, Qingmeng Wei

TL;DR
This paper develops a comprehensive framework for infinite horizon non-autonomous stochastic recursive differential games, establishing well-posedness, stability, and linking value functions to unique viscosity solutions of HJBI equations.
Contribution
It introduces a novel approach to analyze non-autonomous stochastic differential games via BSDEs and viscosity solutions, extending existing theory to time-dependent settings.
Findings
Proved well-posedness and stability of BSDEs with time-dependent discounting.
Established that value functions are unique bounded viscosity solutions of non-autonomous HJBI equations.
Showed autonomous systems' value functions are time-independent and solve stationary HJBI equations.
Abstract
In this paper, we study an infinite horizon non-autonomous stochastic recursive differential game. To this end, we first establish well-posedness and stability results for BSDEs with a time-dependent discount factor and a possibly unbounded random terminal time. The generator is allowed to be non-uniformly bounded at the origin, namely, with and . We then formulate a two-person zero-sum stochastic recursive differential game on the infinite horizon, where the drift, diffusion, generator and discount factor may depend explicitly on time. The lower and upper value functions are defined through Elliott--Kalton nonanticipative strategies and BSDE recursive payoffs. By finite horizon approximation, BSDE stability estimates and viscosity solution arguments, we prove that…
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