Open Access
2024 Critical drift estimates for the frog model on trees
Emma Bailey, Matthew Junge, Jiaqi Liu
Author Affiliations +
Electron. J. Probab. 29: 1-21 (2024). DOI: 10.1214/24-EJP1108

Abstract

Place an active particle at the root of a d-ary tree and a single dormant particle at each non-root site. In discrete time, active particles move towards the root with probability p and, otherwise, away from the root to a uniformly sampled child vertex. When an active particle moves to a site containing a dormant particle, the dormant particle becomes active. The critical drift pd is the infimum over all p for which infinitely many particles visit the root almost surely. Guo, Tang, and Wei proved that supd3pd13. We improve this bound to 517 with a shorter argument that generalizes to give bounds on supdmpd. We additionally prove that lim suppd16 by finding the limiting critical drift for a non-backtracking variant.

Funding Statement

All authors were partially supported by NSF grant #2115936. Junge was partially supported by NSF grant #2238272.

Acknowledgments

We are grateful to the authors of [9] whose code formed the basis of the simulations performed in Section 6. We would also like to thank Serguei Popov for sending us an electronic copy of [3] whose result is applied in the proof of Lemma 4.2.

Citation

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Emma Bailey. Matthew Junge. Jiaqi Liu. "Critical drift estimates for the frog model on trees." Electron. J. Probab. 29 1 - 21, 2024. https://doi.org/10.1214/24-EJP1108

Information

Received: 18 May 2023; Accepted: 1 March 2024; Published: 2024
First available in Project Euclid: 27 March 2024

Digital Object Identifier: 10.1214/24-EJP1108

Subjects:
Primary: 60K35

Keywords: Interacting particle system , phase transition

Vol.29 • 2024
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