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Statistical Laboratory

Intrinsic metrics (a.k.a. chemical distance) and random walks on percolation models have been attracting a lot of mathematical attention. The case of (low-dimensional) critical percolation, however, has remained poorly understood. In this talk, I will explain how to construct the scaling limits of the intrinsic metric and the random walk on 2D critical percolation clusters. More generally, for each CLE_\kappa, \kappa \in ]4,8[, we construct the canonical shortest-path metric and diffusion process on its gasket. We show that the metrics are uniquely characterised by their Markovian property, and that they are scale-covariant and conformally covariant.

This talk is based on joint works with Valeria Ambrosio, Irina Đanković, Maarten Markering, and Jason Miller.

Frontpage talks

Statistics

Probability

Cambridge Statistics Clinic

30
May
14:00 - 15:00: Title to be confirmed
Statistics

Further information

Time:

13May
May 13th 2025
14:00 to 15:00

Venue:

MR12

Speaker:

Yizheng Yuan

Series:

Probability