Wednesday, October 23, 2024 - 09:00 in Zoom
Lower tail large deviations for the stochastic six vertex model
A talk in the Seminar Zufallsmatrizen series by
Matteo Mucciconi from National University of Singapore
| Abstract: |
In this talk, I will present a method for obtaining one-point lower tail large deviation principles (LDPs) for the stochastic six-vertex model. The proof combines connections between the stochastic six vertex model and discrete log-gases on the half line with novel methods to establish log-concavity estimates on tail probabilities. Based on two joint works and one ongoing collaboration with Sayan Das and Yuchen Liao.
Within the CRC this talk is associated to the project(s): C6 |
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