Sub-value and sup-value of a linear diffusion game

Abstract In this paper, we solve an exit probability game between two players, each of whom controls a linear diffusion process. One player controls its process to minimize the probability that the difference of the processes reaches a low level before it reaches a high level, while the other player aims to maximize the probability. By solving the Bellman–Isaacs equations, we find the sub-value and sup-value functions of the game in explicit forms, which are twice continuously differentiable. The optimal plays associated with the sub-value and sup-value are also found explicitly.

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Publication Details

Journal
Advances in Applied Probability
Published
2026-01-21
DOI
https://doi.org/10.1017/apr.2025.10047
Primary Topic
Diffusion and Search Dynamics
Type
article
Field-Weighted Citation Impact
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article

Sub-value and sup-value of a linear diffusion game

Shangzhen Luo
Advances in Applied Probability
Diffusion and Search Dynamics
article

Sub-value and sup-value of a linear diffusion game

Shangzhen Luo
article en

Abstract

Abstract In this paper, we solve an exit probability game between two players, each of whom controls a linear diffusion process. One player controls its process to minimize the probability that the difference of the processes reaches a low level before it reaches a high level, while the other player aims to maximize the probability. By solving the Bellman–Isaacs equations, we find the sub-value and sup-value functions of the game in explicit forms, which are twice continuously differentiable. The optimal plays associated with the sub-value and sup-value are also found explicitly.

Advances in Applied Probability
University of Northern Iowa (US)
Openalex Percentile: Top 82%
Diffusion and Search Dynamics
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Sub-value and sup-value of a linear diffusion game — Shangzhen Luo · Advances in Applied Probability (2026) | TGRS Research Map | TGRS