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

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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 Xn≈nαX_n\approx n^{\alpha} when, for every ϵ>0\epsilon>0, the probability that nα−ϵ<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.

References

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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