Convergence in the pContest
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Abstract
We study asymptotic properties of the following Markov system of N≥3 points in [0, 1]. At each time step, the point farthest from the current centre of mass, multiplied by a constant p>0, is removed and replaced by an independent ζdistributed point; the problem, inspired by variants of the Bak–Sneppen model of evolution and called a pcontest, was posed in Grinfeld et al. (J Stat Phys 146, 378–407, 2012). We obtain various criteria for the convergences of the system, both for p<1 and p>1. In particular, when p<1 and ζ∼U[0,1], we show that the limiting configuration converges to zero. When p>1, we show that the configuration must converge to either zero or one, and we present an example where both outcomes are possible. Finally, when p>1, N=3 and ζ satisfies certain mild conditions (e.g. ζ∼U[0,1]), we prove that the configuration converges to one a.s. Our paper substantially extends the results of Grinfeld et al. (Adv Appl Probab 47:57–82, 2015) and Kennerberg and Volkov (Adv Appl Probab 50:414–439, 2018) where it was assumed that p=1. Unlike the previous models, one can no longer use the Lyapunov function based just on the radius of gyration; when 0<p<1 one has to find a more finely tuned function which turns out to be a supermartingale; the proof of this fact constitutes an unwieldy, albeit necessary, part of the paper.
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Original language  English 

Journal  Journal of Statistical Physics 
Publication status  Epub ahead of print  2020 Jan 24 
Publication category  Research 
Peerreviewed  Yes 