Chemical distance in high-dimensional percolation
- 👤 Speaker: Jack Hanson (Universität Hamburg)
- 📅 Date & Time: Tuesday 03 February 2026, 14:00 - 15:00
- 📍 Venue: MR12
Abstract
Abstract: Since at least the 1970s, transport properties of critical percolation have been studied in both the physics and mathematics literature. Improving our understanding requires sharp estimates on large-scale geometric properties of critical percolation clusters, including the intrinsic (``chemical’‘) distance and electrical resistance. We show a sharp result for these in high dimensions: the distance and resistance between the origin and a distant vertex converges in distribution when rescaled by a multiple of the square of the Euclidean distance, conditional on these vertices lying in the same cluster.
Series This talk is part of the Probability series.
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Jack Hanson (Universität Hamburg)
Tuesday 03 February 2026, 14:00-15:00