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Growth dichotomy for unimodular random rooted trees

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arxiv 2312.04611 v1 pith:LPQKFSGD submitted 2023-12-07 math.PR math.COmath.DS

classification math.PRmath.COmath.DS
keywords growthclusterpercolationrandomthresholdalwaysassumingcritical
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abstract

We show that the growth of a unimodular random rooted tree $(T,o)$ of degree bounded by $d$ always exists, assuming its upper growth passes the critical threshold $\sqrt{d-1}$. This complements Timar's work who showed the possible nonexistence of growth below this threshold. The proof goes as follows. By Benjamini-Lyons-Schramm, we can realize $(T,o)$ as the cluster of the root for some invariant percolation on the $d$-regular tree. Then we show that for such a percolation, the limiting exponent with which the lazy random walk returns to the cluster of its starting point always exists. We develop a new method to get this, that we call the 2-3-method, as the usual pointwise ergodic theorems do not seem to work here. We then define and prove the Cohen-Grigorchuk co-growth formula to the invariant percolation setting. This establishes and expresses the growth of the cluster from the limiting exponent, assuming we are above the critical threshold.

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  1. A unimodular random graph with large upper growth and no growth

    math.PR 2024-11 conditional novelty 7.0 of 10

    For every d at least 3, there exists a unimodular random graph of maximum degree d whose upper growth rate is d minus 1 and whose lower growth rate is 1, so it has no growth rate.

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