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Ordered random walks and the Airy line ensemble

Denis Denisov, Will FitzGerald, Vitali Wachtel

Abstract

The Airy line ensemble is a random collection of continuous ordered paths that plays an important role within random matrix theory and the Kardar-Parisi-Zhang universality class. The aim of this paper is to prove a universality property of the Airy line ensemble. We study growing numbers of i.i.d. continuous-time random walks which are then conditioned to stay in the same order for all time using a Doob h-transform. We consider a general class of increment distributions; a sufficient condition is the existence of an exponential moment and a log-concave density. We prove that the top particles in this system converge in an edge scaling limit to the Airy line ensemble in a regime where the number of random walks is required to grow slower than a certain power (with a non-optimal exponent 3/50) of the expected number of random walk steps. Furthermore, in a similar regime we prove that the law of large numbers and fluctuations of linear statistics agree with non-intersecting Brownian motions.

Ordered random walks and the Airy line ensemble

Abstract

The Airy line ensemble is a random collection of continuous ordered paths that plays an important role within random matrix theory and the Kardar-Parisi-Zhang universality class. The aim of this paper is to prove a universality property of the Airy line ensemble. We study growing numbers of i.i.d. continuous-time random walks which are then conditioned to stay in the same order for all time using a Doob h-transform. We consider a general class of increment distributions; a sufficient condition is the existence of an exponential moment and a log-concave density. We prove that the top particles in this system converge in an edge scaling limit to the Airy line ensemble in a regime where the number of random walks is required to grow slower than a certain power (with a non-optimal exponent 3/50) of the expected number of random walk steps. Furthermore, in a similar regime we prove that the law of large numbers and fluctuations of linear statistics agree with non-intersecting Brownian motions.

Paper Structure

This paper contains 17 sections, 19 theorems, 170 equations.

Key Result

Theorem 1

Suppose the conditions in Section sec:rw_assumptions hold. For $d = \lfloor T^a \rfloor$ and $a < 3/50$ and all starting points $\lvert x_j \rvert = o(T^{1/2-a/6})$ the line ensemble $X^T(k, [-L, L])$ converges weakly as $T \rightarrow \infty$ to $\mathcal{L}$ restricted to $\{1, \ldots, k\} \times

Theorems & Definitions (35)

  • Theorem 1
  • Corollary 2
  • Proposition 3
  • Theorem 4
  • Theorem 5
  • Remark 6
  • Lemma 7
  • Proposition 8
  • Lemma 9
  • proof : Proof of Proposition \ref{['superharmonic']}
  • ...and 25 more