Section
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Mathematics
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Title
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Approximation of value function of differential game with minimal cost
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Author(-s)
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Averboukh Yu.V.ab
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Affiliations
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Institute of Mathematics and Mechanics, Ural Branch of the Russian Academy of Sciencesa,
Ural Federal Universityb
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Abstract
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The paper is concerned with the approximation of the value function of the zero-sum differential game with the minimal cost, i.e., the differential game with the payoff functional determined by the minimization of some quantity along the trajectory by the solutions of continuous-time stochastic games with the stopping governed by one player. Notice that the value function of the auxiliary continuous-time stochastic game is described by the Isaacs–Bellman equation with additional inequality constraints. The Isaacs–Bellman equation is a parabolic PDE for the case of stochastic differential game and it takes a form of system of ODEs for the case of continuous-time Markov game. The approximation developed in the paper is based on the concept of the stochastic guide first proposed by Krasovskii and Kotelnikova.
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Keywords
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differential games with minimal cost, stochastic guide, approximation of the value function, Isaacs-Bellman equation
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UDC
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517.977.8
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MSC
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49N70, 91A23, 91A25
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DOI
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10.35634/vm210402
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Received
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5 July 2021
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Language
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English
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Citation
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Averboukh Yu.V. Approximation of value function of differential game with minimal cost, Vestnik Udmurtskogo Universiteta. Matematika. Mekhanika. Komp'yuternye Nauki, 2021, vol. 31, issue 4, pp. 536-561.
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