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arXiv 1106.2629math.PR
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不完全信息随机微分对策的BSDE方法

A BSDE approach to stochastic differential games with incomplete information

Christine Grün

摘要:

考虑一个两人零和随机微分对策,其中一个局中人具有关于对策的私人信息。两个玩家互相观察,这样不知情的玩家就可以尝试猜测他丢失的信息。我们的目标是量化的信息量的知情的球员,以发挥最佳:这样做,我们表明,这个零和对策的价值函数可以重写为一个最小化问题,在一些鞅测度的回报给出了一个向后随机微分方程的解决方案。

英文摘要:

We consider a two-player zero-sum stochastic differential game in which one of the players has a private information on the game. Both players observe each other, so that the non-informed player can try to guess his missing information. Our aim is to quantify the amount of information the informed player has to reveal in order to play optimally: to do so, we show that the value function of this zero-sum game can be rewritten as a minimization problem over some martingale measures with a payoff given by the solution of a backward stochastic differential equation.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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