Statement for “All roads to the KPZ universality class”
The KPZ stationary horizon was first introduced in [Bus24] and is expected to be a universal scaling limit for multi-class invariant measures of models in the KPZ universality class. Then [BSS22] shows that the suitably rescaled TASEP speed process converges weakly to the KPZ stationary horizon. Recently, [BSS24] developed a more general framework to show convergence to the stationary horizon. In particular, they show that if a model converges to the directed landscape under suitable rescaling, then the stationary measures of the associated multi-class process converge to the stationary horizon at the level of finite-dimensional projections. In [ACH24a] they prove the convergence of the stochastic six-vertex model and ASEP to the directed landscape, and hence, using the results from [BSS24], they obtain as a corollary that the stationary measures for the multi-class ASEP converge to marginals of the stationary horizon.
The ASEP speed process and stochastic six-vertex model speed process were recently introduced in [ACG23] and [DHS24] separately. It is an open problem to prove the convergence of the ASEP and stochastic six-vertex model speed processes to the KPZ stationary horizon.
The KPZ fixed point was first introduced in [MQR21] by using exact determinantal formulas for the totally asymmetric simple exclusion process (TASEP). Recently, [QS23] and [ACH24b] use “soft” methods to prove the convergence of ASEP to the KPZ fixed point. However, we know little about the integrable structure of ASEP. It is an open problem to prove the convergence of ASEP to the KPZ fixed point by using exact formulas.
References:
My interests in the workshop span questions regarding when and why certain combinatorial identities appear in exactly solved models in the KPZ universality class, what kinds of gaps exist between the mathematics and experiments in KPZ research, the potential applications/use cases of research in KPZ universality to experiments and other areas of mathematics, and what steps are needed to realize said applications.
The role of Yang–Baxter integrability in universality; connections between such integrability and other forms like the RSK correspondence.
There are several general topics I would like to see discussed at the workshop:
Here are a few questions:
I would be interested in discussing the following topics:
I may expand the description later.
I have been working on applying probabilistic methods to the study of KPZ universality, such as percolation and coupling. In this workshop, I am particularly interested in learning the probabilistic properties of the RSK and geometric RSK in these models and seeing whether these properties can be established directly using “corner flipping” induction in the analysis of increment-stationary KPZ models.
I am interested in the structure of jointly invariant measures (or multi-type/colored invariant measures) for models in the KPZ universality class. Within the context of KPZ universality, these structures have been used to describe geometric features of infinite geodesics in KPZ models. For example:
More recently, jointly invariant measures have been used to describe the asymptotics of shocks in the KPZ equation (arXiv:2406.06502) and the covariance function of a limiting Gaussian process for the periodic KPZ equation (arXiv:2409.03613). Dauvergne and Virág (arXiv:2405.00194) recently gave an alternate construction of the directed landscape from Brownian motion using variants of the RSK correspondence. This opens the possibility of showing convergence to the directed landscape by using information about the joint distribution of jointly invariant measures. I am interested in seeing if these techniques can be extended to positive temperature models, such as the O’Connell–Yor polymer and the inverse-gamma polymer.
I would like to discuss several topics during the workshop:
My research interests in this workshop include the following:
My interest in the workshop comes from the paper Anisotropic growth of random surfaces in 2+1 dimensions by Borodin and Ferrari. In this paper, they constructed a class of (2+1)-dimensional interacting particle systems, some of which have the property that their fixed-time projections can be viewed as a random tiling model, while certain (1+1)-dimensional projections represent models in the Kardar–Parisi–Zhang universality class of stochastic growth models. In 2024, we found the asymptotic curves separating various phases of a family of dimer models. The approach used was also from a system of recurrence relations that can be understood as a 2+1-dimensional discrete evolution equation. Our approach, however, has not shown any direct connection with the point of view of interacting particle systems and KPZ. My goal is to find an interacting particle system corresponding to this dimer model and confirm whether their (1+1)-projection represents any model in the KPZ universality class.
Proposing a Problem
Suppose we have a two-layer stationary geometric LPP model.
We are interested in the stationary version of this model where the weights are specified as follows:
\[\omega_{i, j} = \begin{cases} \mathrm{Geo}\left( rs \right), & i=j=2,\\[6pt] \mathrm{Geo}\left( r\sqrt{q} \right), & i=j> 2,\\[6pt] \mathrm{Geo}\left( \dfrac{\sqrt{q}}{s} \right), & j=1,\; i> 2,\\[6pt] \mathrm{Geo}\left( s\sqrt{q} \right), & j=2,\; i> 3,\\[6pt] 0, & \textrm{if } i=j=1,\\[6pt] 0, & \textrm{if } i=2,\; j=1,\\[6pt] \mathrm{Geo}(q), & \textrm{otherwise}. \end{cases}\]Here, \(s \in (\sqrt{q}, 1)\), \(r \in (0,1/s)\), and \(q \in (0,1)\) is a fixed parameter. Let \(G_{N,N}\) denote the last passage percolation from \((1,1)\) to \((N,N)\).
We have found a formula for the distribution of \(G_{N,N}\) by using a shift argument and analytic continuation. We took the critical scaling and found the formula for the limiting distribution. We have the following phase diagrams. These results will be released possibly in a month.
Now, we would like to find the diagonal distribution if we scale \(s\) and \(r\) differently. We want to discover, for example, some Gaussian fluctuation if we do not scale \(s\) and \(r\) to \(1\). We want to find a complete phase diagram.
A major direction of my research is within the KPZ universality class and integrable probability, with focuses including:
Some of my recent work includes:
In this workshop, I am interested in learning about each of the three directions mentioned above. Some broad directions I am currently thinking about include:
I am interested in ASEP on a ring. More specifically, how to describe its full space-time fluctuations; any way to construct useful observables based on its algebraic structure; and whether there are universal KPZ features that can be explicitly derived.