Determining the Winner in Alternating-Move Games

Fuente: arXiv
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Main Authors: Bellaïche, Itamar, Rosenzweig, Auriel
Format: Preprint
Published: 2026
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author Bellaïche, Itamar
Rosenzweig, Auriel
author_facet Bellaïche, Itamar
Rosenzweig, Auriel
contents We provide a criterion for determining the winner in two-player win-lose alternating-move games on trees, in terms of the Hausdorff dimension of the target set. We focus our study on special cases, including the Gale-Stewart game on the complete binary tree and a family of Schmidt games, generalizing a result of Schmidt from Hilbert spaces to arbitrary complete metric spaces. Building on the Hausdorff dimension games originally introduced by Das, Fishman, Simmons, and Urbański, which provide a game-theoretic approach for computing Hausdorff dimensions, we employ a generalized family of these games to obtain lower bounds on the Hausdorff dimensions of target sets whenever Player I can guarantee a win.
format Preprint
id arxiv_https___arxiv_org_abs_2601_08359
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Determining the Winner in Alternating-Move Games
Bellaïche, Itamar
Rosenzweig, Auriel
Dynamical Systems
Computer Science and Game Theory
Logic
Optimization and Control
We provide a criterion for determining the winner in two-player win-lose alternating-move games on trees, in terms of the Hausdorff dimension of the target set. We focus our study on special cases, including the Gale-Stewart game on the complete binary tree and a family of Schmidt games, generalizing a result of Schmidt from Hilbert spaces to arbitrary complete metric spaces. Building on the Hausdorff dimension games originally introduced by Das, Fishman, Simmons, and Urbański, which provide a game-theoretic approach for computing Hausdorff dimensions, we employ a generalized family of these games to obtain lower bounds on the Hausdorff dimensions of target sets whenever Player I can guarantee a win.
title Determining the Winner in Alternating-Move Games
topic Dynamical Systems
Computer Science and Game Theory
Logic
Optimization and Control
url https://arxiv.org/abs/2601.08359