Electronic Communications in Probability

Coexistence in chase-escape

Rick Durrett, Matthew Junge, and Si Tang

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We study a competitive stochastic growth model called chase-escape in which red particles spread to adjacent uncolored sites and blue particles only to adjacent red sites. Red particles are killed when blue occupies the same site. If blue has rate-1 passage times and red rate-$\lambda $, a phase transition occurs for the probability red escapes to infinity on $\mathbb{Z} ^{d}$, $d$-ary trees, and the ladder graph $\mathbb{Z} \times \{0,1\}$. The result on the tree was known, but we provide a new, simpler calculation of the critical value, and observe that it is a lower bound for a variety of graphs. We conclude by showing that red can be stochastically slower than blue, but still escape with positive probability for large enough $d$ on oriented $\mathbb{Z} ^{d}$ with passage times that resemble Bernoulli bond percolation.

Article information

Electron. Commun. Probab., Volume 25 (2020), paper no. 22, 14 pp.

Received: 5 June 2019
Accepted: 25 February 2020
First available in Project Euclid: 4 March 2020

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Digital Object Identifier

Primary: 60K35: Interacting random processes; statistical mechanics type models; percolation theory [See also 82B43, 82C43]

growth model particle system phase transition

Creative Commons Attribution 4.0 International License.


Durrett, Rick; Junge, Matthew; Tang, Si. Coexistence in chase-escape. Electron. Commun. Probab. 25 (2020), paper no. 22, 14 pp. doi:10.1214/20-ECP302. https://projecteuclid.org/euclid.ecp/1583290992

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