Probabilistic interpretation of a system of coupled Hamilton-Jacobi-Bellman-Isaacs equations

Probabilistic interpretation of a system of coupled Hamilton-Jacobi-Bellman-Isaacs equations
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Hamilton-Jacobi-Bellman-Isaacs 耦合方程组的概率解释

DOI:
10.1051/cocv/2020070
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发表时间:
2020-10
影响因子:
1.4
通讯作者:
Qingmeng Wei
Qingmeng Wei
中科院分区:
数学4区
文献类型:
--
作者:
Juan Li;Wenqiang Li;Qingmeng Wei

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By introducing a stochastic differential game whose dynamics and multi-dimensional cost functionals form a multi-dimensional coupled forward-backward stochastic differential equation with jumps, we give a probabilistic interpretation to a system of coupled Hamilton-Jacobi-Bellman-Isaacs equations. For this, we generalize the definition of the lower value function initially defined only for deterministic times t and states x to stopping times τ and random variables η ∈ L2(Ω, ?τ, P; ℝ). The generalization plays a key role in the proof of a strong dynamic programming principle. This strong dynamic programming principle allows us to show that the lower value function is a viscosity solution of our system of multi-dimensional coupled Hamilton-Jacobi-Bellman-Isaacs equations. The uniqueness is obtained for a particular but important case.
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