Table of Contents
Fetching ...

Airy wanderer line ensembles

Evgeni Dimitrov

TL;DR

This work develops a multi-parameter generalization of the extended Airy kernel, introducing the Airy wanderer kernel $K_{a,b,c}$ built from two convergent parameter sequences and two nonnegative shifts. It proves the existence of a determinantal point process on $\mathbb{R}^2$ with this kernel and, under the finite-minus-parameter condition ($c^-=0$ and finite $J_a^-,J_b^-$), lifts it to a line ensemble on $\mathbb{R}$ with the Brownian Gibbs property, extending the wanderer ensemble framework. The approach hinges on a careful scaling and limiting procedure for Schur processes, via geometric last passage percolation with defects, yielding a double-contour kernel that converges to $K_{a,b,c}$. The paper also develops upper-tail and tightness estimates to establish finite-dimensional convergence and constructs the corresponding Wanderer line ensembles, providing a robust probabilistic framework for these generalized integrable models within the KPZ universality class. Together, these results broaden the class of exactly solvable line ensembles and connect multi-parameter deformations of the Airy kernel to concrete probabilistic objects with Gibbsian structure.

Abstract

In (J. Stat. Phys. 132, 275-290, 2008) Borodin and Péché introduced a generalization of the extended Airy kernel based on two infinite sets of parameters. For an arbitrary choice of parameters we construct determinantal point processes on $\mathbb{R}^2$ for these generalized kernels. In addition, for a subset of the parameter space we show that the point processes can be lifted to line ensembles on $\mathbb{R}$, which satisfy the Brownian Gibbs property. Our ensembles generalize the wanderer line ensembles introduced by Corwin and Hammond in (Invent. Math. 195, 441-508, 2014).

Airy wanderer line ensembles

TL;DR

This work develops a multi-parameter generalization of the extended Airy kernel, introducing the Airy wanderer kernel built from two convergent parameter sequences and two nonnegative shifts. It proves the existence of a determinantal point process on with this kernel and, under the finite-minus-parameter condition ( and finite ), lifts it to a line ensemble on with the Brownian Gibbs property, extending the wanderer ensemble framework. The approach hinges on a careful scaling and limiting procedure for Schur processes, via geometric last passage percolation with defects, yielding a double-contour kernel that converges to . The paper also develops upper-tail and tightness estimates to establish finite-dimensional convergence and constructs the corresponding Wanderer line ensembles, providing a robust probabilistic framework for these generalized integrable models within the KPZ universality class. Together, these results broaden the class of exactly solvable line ensembles and connect multi-parameter deformations of the Airy kernel to concrete probabilistic objects with Gibbsian structure.

Abstract

In (J. Stat. Phys. 132, 275-290, 2008) Borodin and Péché introduced a generalization of the extended Airy kernel based on two infinite sets of parameters. For an arbitrary choice of parameters we construct determinantal point processes on for these generalized kernels. In addition, for a subset of the parameter space we show that the point processes can be lifted to line ensembles on , which satisfy the Brownian Gibbs property. Our ensembles generalize the wanderer line ensembles introduced by Corwin and Hammond in (Invent. Math. 195, 441-508, 2014).
Paper Structure (47 sections, 33 theorems, 427 equations, 8 figures)

This paper contains 47 sections, 33 theorems, 427 equations, 8 figures.

Key Result

Lemma 1.4

Assume the same notation as in Definition DLP. For each $t_1, t_2,x_1,x_2 \in \mathbb{R}$ we have that the double integral in the definition of $K^3_{a,b,c}$ in (3BPKer) is convergent. The value of $K_{a,b,c}(t_1, x_1; t_2, x_2)$ does not depend on the choice of $\alpha$ and $\beta$ as long as $\alp

Figures (8)

  • Figure 1: The figure depicts the contours $\Gamma_{\alpha}^+$ and $\Gamma_{\beta}^-$ shifted by $t_1$ and $t_2$, respectively. The figure also shows the relative location of the poles in (\ref{['S1EAKS']}) and (\ref{['DefPhiS11']}) when shifted by $t_1$ (for the poles in $z$) and by $t_2$ (for the poles in $w$).
  • Figure 2: The figure depicts the top three curves in $\mathcal{L}^{a,b,c}$ from Theorem \ref{['T3']}. The slopes $\beta_i$ are the sorted in ascending order numbers $\{\sqrt{2} (b_i^+)^{-1}\}_{ i\geq 1}$ and the non-zero elements in $\{\sqrt{2} b_i^-\}_{i \geq 1}$ (counted with multiplicities and with $+\infty$ allowed). The slopes $\alpha_i$ are the sorted in descending order numbers $\{-\sqrt{2} (a_i^+)^{-1}\}_{ i\geq 1}$ and the non-zero elements in $\{- \sqrt{2} a_i^-\}_{i \geq 1}$ (counted with multiplicities and with $-\infty$ allowed).
  • Figure 3: The figure depicts the contours $\Gamma_{\alpha + t_1}^+, \Gamma_{\beta + t_2}^-$ when they have two intersection points, denoted by $u_-$ and $u_+$. The contour $\gamma$ is the segment from $u_-$ to $u_+$.
  • Figure 4: The NE chain $(3,2), (3,3), (5,3), (5,4), (6,4), (8,6)$
  • Figure 5: The left part depicts the contours $\Gamma_{\alpha_1 + t_1}^+, \Gamma_{\beta_1 + t_2}^-, \Gamma_{\beta_3 + t_2}^-$ and their intersection points $v_{\pm}$, $u_{\pm}$. The right part depicts the contours $\Gamma_{\alpha_1}^+, \Gamma_{\alpha_1}^{+,1}$, where the latter consists of the two segments connecting $v_{\pm} - t_1$ with $u_{\pm} - t_1$.
  • ...and 3 more figures

Theorems & Definitions (85)

  • Definition 1.1
  • Definition 1.2
  • Definition 1.3
  • Lemma 1.4
  • Theorem 1.5
  • Remark 1.6
  • Remark 1.7
  • Theorem 1.8
  • Remark 1.9
  • Theorem 1.10
  • ...and 75 more