October 2024 Identifying the deviator
Noga Alon, Benjamin Gunby, Xiaoyu He, Eran Shmaya, Eilon Solan
Author Affiliations +
Ann. Appl. Probab. 34(5): 4694-4708 (October 2024). DOI: 10.1214/24-AAP2077

Abstract

A group of players are supposed to follow a prescribed profile of strategies. If they follow this profile, they will reach a given target. We show that if the target is not reached because some player deviates, then an outside observer can identify the deviator. We also construct identification methods in two nontrivial cases.

Funding Statement

Alon’s research was supported in part by the National Science Foundation Grant DMS-2154082.
He acknowledges the support of the National Science Foundation Grant DMS-2103154.
Shmaya acknowledges the support of the National Science Foundation Grant 89371-1164105-1, and the Binational Science Foundation, Grant 2022178.
Solan acknowledges the support of the Israel Science Foundation Grants #217/17 and #211/22, and the Binational Science Foundation, Grant 2022178.

Acknowledgments

We thank Orin Munk, Asaf Nachmias, Bhargav Narayanan, Ron Solan, and David Steinberg for useful discussions.

Citation

Download Citation

Noga Alon. Benjamin Gunby. Xiaoyu He. Eran Shmaya. Eilon Solan. "Identifying the deviator." Ann. Appl. Probab. 34 (5) 4694 - 4708, October 2024. https://doi.org/10.1214/24-AAP2077

Information

Received: 1 July 2022; Revised: 1 September 2023; Published: October 2024
First available in Project Euclid: 26 September 2024

Digital Object Identifier: 10.1214/24-AAP2077

Subjects:
Primary: 91A35
Secondary: 62C05 , 62F07

Keywords: detecting deviations , multiplayer games , Random walk , Zero-sum games

Rights: Copyright © 2024 Institute of Mathematical Statistics

Vol.34 • No. 5 • October 2024
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