ARC Colloquium: Antonio Blanca - UC Berkeley

Event Details

Dani Denton
denton at cc dot gatech dot edu



Summary Sentence: Talk is at 2 pm instead of 1 pm - Klaus 1116 West

Full Summary: No summary paragraph submitted.

NOTE - Talk is at 2 pm instead of 1 pm.

Algorithms & Randomness Center (ARC)

Antonio Blanca - UC Berkeley

Friday, February 5, 2016

Klaus 1116 East (not West) - 2:00 pm

(Refreshments will be served in Klaus 2222 at 3 pm)

Dynamics for the random-cluster model

The random-cluster model has been widely studied as a unifying framework for random graphs, spin systems and electrical networks, but its dynamics have so far largely resisted analysis. In this talk we present recent results concerning the mixing behavior of natural Markov chains for the random-cluster model in two canonical cases: the mean-field model and the two dimensional lattice graph Z^2. In the mean-field case, we identify a critical regime of the model parameter p in which several natural dynamics undergo an exponential slowdown. In Z^2, we provide tight mixing time bounds for the heat-bath dynamics for all non-critical values of p. These results hold for all values of the second model parameter q > 1.

Based on joint works with Alistair Sinclair.

Short Bio: Antonio Blanca is a 5th year PhD student at UC Berkeley advised by Alistair Sinclair. He is interested in algorithms, Markov chain mixing, phase transitions and random structures. He graduated with a BS in Computer Science/Discrete Math from Georgia Tech.

Additional Information

In Campus Calendar

ARC, College of Computing, School of Computer Science

Invited Audience
Undergraduate students, Faculty/Staff, Public, Graduate students
Algorithm and Randomness Center, ARC, Computational Complexity, Computational Learning Theory, Georgia Tech
  • Created By: Dani Denton
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  • Created On: Jan 29, 2016 - 7:48am
  • Last Updated: Apr 13, 2017 - 5:16pm