On the saddle point of a zero-sum stopper vs. singular-controller game

IF 1.1 2区 数学 Q3 STATISTICS & PROBABILITY
Andrea Bovo , Tiziano De Angelis
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引用次数: 0

Abstract

We construct a saddle point in a class of zero-sum games between a stopper and a singular-controller. The underlying dynamics is a one-dimensional, time-homogeneous, singularly controlled diffusion taking values either on R or on [0,). The games are set on a finite-time horizon, thus leading to analytical problems in the form of parabolic variational inequalities with gradient and obstacle constraints.
The saddle point is characterised in terms of two moving boundaries: an optimal stopping boundary and an optimal control boundary. These boundaries allow us to construct an optimal stopping time for the stopper and an optimal control for the singular-controller. Our method relies on a new link between the value function of the game and the value function of an auxiliary optimal stopping problem with absorption. We show that the smooth-fit condition at the stopper’s optimal boundary (in the game), translates into an absorption condition in the auxiliary problem. This is somewhat in contrast with results obtained in problems of singular control with absorption and it highlights the key role of smooth-fit in this context.
零和博弈与单控制器博弈的鞍点
在一类零和博弈中,我们构造了一个鞍点。潜在的动力学是一维的,时间齐次的,奇异控制的扩散,其值要么在R上,要么在[0,∞]上。游戏设置在有限的时间范围内,从而导致具有梯度和障碍约束的抛物线变分不等式形式的分析问题。鞍点被描述为两个移动边界:一个最优停止边界和一个最优控制边界。这些边界允许我们构造一个最优停止时间的停止器和最优控制的奇异控制器。我们的方法依赖于博弈的价值函数和具有吸收的辅助最优停止问题的价值函数之间的新联系。我们证明了在阻塞者的最优边界处的平滑拟合条件(在博弈中)转化为辅助问题中的吸收条件。这与在具有吸收的奇异控制问题中得到的结果有些相反,它突出了在这种情况下平滑拟合的关键作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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