Past Probability Seminars Spring 2020: Difference between revisions
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== September 12, 2019, [https://perso.univ-rennes1.fr/victor.kleptsyn/ Victor Kleptsyn], CNRS == | == September 12, 2019, [https://perso.univ-rennes1.fr/victor.kleptsyn/ Victor Kleptsyn], CNRS == | ||
== September 19, 2019, [http:// | == September 19, 2019, [http://math.columbia.edu/~xuanw Xuan Wu], Columbia University== | ||
'''A Gibbs resampling method for discrete log-gamma line ensemble.''' | |||
In this talk we will construct the discrete log-gamma line ensemble, which is assocaited with inverse gamma polymer model. This log-gamma line ensemble enjoys a random walk Gibbs resampling invariance that follows from the integrable nature of the inverse gamma polymer model via geometric RSK correspondance. By exploiting such resampling invariance, we show the tightness of this log-gamma line ensemble under weak noise scaling. Furthermore, a Gibbs property, as enjoyed by KPZ line ensemble, holds for all subsequential limits. | |||
== October 3, 2019, Scott Smith, UW Madison == | == October 3, 2019, Scott Smith, UW Madison == | ||
Revision as of 14:19, 6 September 2019
Fall 2019
Thursdays in 901 Van Vleck Hall at 2:25 PM, unless otherwise noted. We usually end for questions at 3:15 PM.
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September 12, 2019, Victor Kleptsyn, CNRS
September 19, 2019, Xuan Wu, Columbia University
A Gibbs resampling method for discrete log-gamma line ensemble.
In this talk we will construct the discrete log-gamma line ensemble, which is assocaited with inverse gamma polymer model. This log-gamma line ensemble enjoys a random walk Gibbs resampling invariance that follows from the integrable nature of the inverse gamma polymer model via geometric RSK correspondance. By exploiting such resampling invariance, we show the tightness of this log-gamma line ensemble under weak noise scaling. Furthermore, a Gibbs property, as enjoyed by KPZ line ensemble, holds for all subsequential limits.