Mixing in Time and Space

  • Allan Sly | U.C. Berkeley

For Markov random fields temporal mixing, the time it takes for the Glauber dynamics to approach it’s stationary distribution, is closely related to the spatial mixing properties of the measure such as uniqueness and the reconstruction problem. Such questions are of importance in probability, statistical physics and theoretical computer science. I will survey some recent progress in understanding the mixing time of the Glauber dynamics as well as related results on spatial mixing.

Speaker Details

Allan Sly is from Australia where received his B.Sc and Masters degrees in mathematics at the Australian National University. He is a graduate student researching probability theory in the statistics department at U.C. Berkeley under the supervision of Professor Elchanan Mossel. He was a member of the Australian International Mathematical Olympiad team and won a silver medal.

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