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Analysis reveals critical exponents in the random connection model's percolation transition in hyperbolic space, indicating structural properties of clusters.
We study the random connection model on hyperbolic space in dimension . Vertices of the spatial random graph are given as a Poisson point process with intensity . Upon variation of , there is a percolation phase transition: there exists a critical value such that for , all clusters are finite, but infinite clusters exist for . We identify certain critical exponents that characterise the clusters at (and near) , and show that they agree with the mean‐field values for percolation. We derive the exponents through isoperimetric properties of critical percolation clusters rather than via a calculation of the triangle diagram.
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Dickson et al. (2025) studied this question.
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