Tightness of $(H, H^{RW})$-Gibbsian line ensembles
Evgeni Dimitrov, Xuan Wu

TL;DR
This paper develops a general theory for proving tightness of Gibbsian line ensembles, applies it to the log-gamma polymer in the KPZ class, and constructs a continuous grand monotone coupling of these ensembles.
Contribution
It introduces a black-box framework for tightness, proves tightness for ensembles in the KPZ class, and generalizes a coupling construction to multiple curves.
Findings
Proves tightness of certain Gibbsian line ensembles in the KPZ class.
Establishes that subsequential limits satisfy the Brownian Gibbs property.
Constructs a continuous grand monotone coupling for Gibbsian line ensembles.
Abstract
We develop a black-box theory, which can be used to show that a sequence of Gibbsian line ensembles is tight, provided that the one-point marginals of the lowest labeled curves of the ensembles are tight and globally approximate an inverted parabola. Our theory is applicable under certain technical assumptions on the nature of the Gibbs property and the underlying random walk measure. As a particular application of our general framework we show that a certain sequence of Gibbsian line ensembles, which naturally arises in the log-gamma polymer, is tight in the ubiquitous KPZ class scaling, and also that all subsequential limits satisfy the Brownian Gibbs property, introduced by Corwin and Hammond in (Invent. Math. 195, 441-508, 2014). One of the core results proved in the paper, which underlies many of our arguments, is the construction of a continuous grand monotone…
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Taxonomy
TopicsRandom Matrices and Applications · Bayesian Methods and Mixture Models · Advanced Combinatorial Mathematics
