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University of Cambridge > Talks.cam > Probability > Scaling limit of multi-type stationary measures in the KPZ class
Scaling limit of multi-type stationary measures in the KPZ classAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Perla Sousi. The KPZ class is a very large set of 1+1 models that are meant to describe random growth interfaces. It is believed that upon scaling, the long time behavior of members in this class is universal and is described by a limiting random object, a Markov process called the KPZ fixed-point. The (one-type) stationary measures for the KPZ fixed-point as well as many models in the KPZ class are known – it is a family of distributions parametrized by some set Iind that depends on the model. For k∈ ℕ the k-type stationary distribution with intensities ρ1,...,ρk ∈ Iind is a coupling of one-type stationary measures of indices ρ1,...,ρk that is stationary with respect to the model dynamics. In this talk we will present recent progress in our understanding of the multi-type stationary measures of the KPZ fixed-point as well as the scaling limit of multi-type stationary measures of two families of models in the KPZ class: metric-like models (e.g. last passage percolation) and particle systems (e.g. exclusion process). Based on joint work with Timo Seppalainen and Evan Sorensen. This talk is part of the Probability series. This talk is included in these lists:
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