Periodic Pitman transforms and jointly invariant measures
Ivan Corwin, Yu Gu, and Evan Sorensen

TL;DR
This paper constructs explicit invariant measures for the periodic KPZ equation using polymer transforms, proves their uniqueness, and explores their properties, limits, and applications to fluctuation theorems and related models.
Contribution
It introduces a novel construction of jointly invariant measures for the periodic KPZ equation via a periodic Pitman transform and establishes their uniqueness and connections to polymer models.
Findings
Explicit invariant measures for periodic KPZ constructed
Proved uniqueness of these measures via a one force--one solution principle
Derived a Gaussian process limit theorem for height fluctuations
Abstract
We construct explicit jointly invariant measures for the periodic KPZ equation (and therefore also the stochastic Burgers' and stochastic heat equations) for general slope parameters and prove their uniqueness via a one force--one solution principle. The measures are given by polymer-like transforms of independent Brownian bridges. We describe several properties and limits of these measures, including an extension to a continuous process in the slope parameter that we term the periodic KPZ horizon. As an application of our construction, we prove a Gaussian process limit theorem with an explicit covariance function for the long-time height function fluctuations of the periodic KPZ equation when started from varying slopes. In connection with this, we conjecture a formula for the fluctuations of cumulants of the endpoint distribution for the periodic continuum directed random polymer.…
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