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# Swee Hong Chan : Random walks with local memory

In this talk we consider this question for a family of random walks on the square lattice. When the randomness is turned to the maximum, we have the symmetric random walk, which is known to scale to a planar Brownian motion. When the randomness is turned to zero, we have the rotor walk, for which its scaling limit is an open problem. This talk is about random walks that lie in between these two extreme cases and for which we can prove their scaling limit. This is a joint work with Lila Greco, Lionel Levine, and Boyao Li.

**Category**: Probability**Duration**: 01:24:57**Date**: November 29, 2018 at 3:10 PM**Views**: 193-
**Tags:**seminar, Probability Seminar

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