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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.

Frontpage talks

Statistics

Probability

04
Feb
Cambridge Statistics Clinic

Statistics


Further information

Time:

03Feb
Feb 3rd 2026
14:00 to 15:00

Venue:

MR12

Speaker:

Jack Hanson (Universität Hamburg)

Series:

Probability