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A Quantitative Analysis of the "Lion-Man" Game
2019
In this paper we analyze, based on an interplay between ideas and techniques from logic and geometric analysis, a pursuit-evasion game. More precisely, we focus on a discrete lion and man game with an $\varepsilon$-capture criterion. We prove that in uniformly convex bounded domains the lion always wins and, using ideas stemming from proof mining, we extract a uniform rate of convergence for the successive distances between the lion and the man. As a byproduct of our analysis, we study the
doi:10.14760/owp-2019-18
fatcat:5zrdoio625au3jy5s2rywrmhu4