Conjecture on the size of the largest critical percolation cluster in a uniform triangulation

Let TnT_n be a uniform triangulation with nn faces, and perform a critical site or bond percolation on TnT_n. For random variables, write XnnαX_n\approx n^{\alpha} when, for every ϵ>0\epsilon>0, the probability that nαϵ<Xn<nα+ϵn^{\alpha-\epsilon}<X_n<n^{\alpha+\epsilon} tends to 11 as nn tends to infinity. Largest-cluster conjecture. If Cmax\mathfrak{C}_{\mathrm{max}} denotes the largest black cluster in the percolated triangulation, then

v(Cmax)n7/8.\mathrm{v}(\mathfrak{C}_{\mathrm{max}})\approx n^{7/8}.

The prediction follows the heuristic that a critical cluster of size nn is contained in a triangulation of size of order n8/7n^{8/7}; it further asserts that the initial cluster has a positive chance of being the largest cluster after the filling operation. The claim remains conjectural.

Sources & referencesView supporting material

Primary source

Olivier Bernardi, Nicolas Curien and Grégory Miermont, “A Boltzmann approach to percolation on random triangulations”, arXiv:1705.04064 (2017).

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