ICTS:30050

Video URL

Lower tail large deviations for the Stochastic Six Vertex Model

Lower tail large deviations for the Stochastic Six Vertex Model

(2024). Lower tail large deviations for the Stochastic Six Vertex Model. SciVideos. https://youtube.com/live/IZBe-frq02k

Lower tail large deviations for the Stochastic Six Vertex Model. SciVideos, Oct. 29, 2024, https://youtube.com/live/IZBe-frq02k 

          @misc{ scivideos_ICTS:30050,
            doi = {},
            url = {https://youtube.com/live/IZBe-frq02k},
            author = {},
            keywords = {},
            language = {en},
            title = {Lower tail large deviations for the Stochastic Six Vertex Model},
            publisher = {},
            year = {2024},
            month = {oct},
            note = {ICTS:30050 see, \url{https://scivideos.org/icts-tifr/30050}}
          }
Matteo Mucciconi
Talk numberICTS:30050
Source RepositoryICTS-TIFR
Source EventDiscrete integrable systems: difference equations, cluster algebras and probabi…
Collection

Abstract

I will first present a generic argument to derive large deviations of a stochastic process when large deviations of certain functionals of that process are available. I will then apply such a general argument to the analysis of the lower tail of the height functions of the stochastic six vertex model starting with step initial conditions. One of the main novelties will be a proof of weak logarithmic concavity of the cumulative distribution function of the height function. This is a joint work with Sayan Das and Yuchen Liao.