We consider the ASEP and the stochastic six vertex model started with step initial data. After a long time, , it is known that the one-point height function fluctuations for these systems are of order . We prove the KPZ prediction of scaling in space. Namely, we prove tightness (and Brownian absolute continuity of all subsequential limits) as goes to infinity of the height function with spatial coordinate scaled by and fluctuations scaled by . The starting point for proving these results is a connection discovered recently by Borodin-Bufetov-Wheeler between the stochastic six vertex height function and the Hall-Littlewood process (a certain measure on plane partitions). Interpreting this process as a line ensemble with a Gibbsian resampling invariance, we show that the one-point tightness of the top curve can be propagated to the tightness of the entire curve.

生成讲解博客的中文版本

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