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Cutoff profile of the Metropolis biased card shuffling

Lingfu Zhang

TL;DR

The paper analyzes the Metropolis biased card shuffling of size $N$ and proves a total-variation cutoff with window $N^{1/3}$, whose profile is governed by the GOE Tracy-Widom distribution. The approach couples the finite-interval, multi-species ASEP to the infinite-line ASEP, leveraging height-function orderings, Hecke algebra identities, and contemporary KPZ fixed-point convergence results to transfer GOE fluctuations to the finite setting. This confirms a Bufetov–Nejjar conjecture and generalizes related results for the Oriented Swap Process/TASEP, providing a unified framework that connects combinatorial shuffling, integrable probability, and KPZ universality in mixing times. The methodology offers a pathway to extend such results to related multi-species exclusion processes and their finite-interval realizations.

Abstract

We consider the Metropolis biased card shuffling (also called the multi-species ASEP on a finite interval or the random Metropolis scan). Its convergence to stationary was believed to exhibit a total-variation cutoff, and that was proved a few years ago by Labbé and Lacoin. In this paper, we prove that (for $N$ cards) the cutoff window is in the order of $N^{1/3}$, and the cutoff profile is given by the GOE Tracy-Widom distribution function. This confirms a conjecture by Bufetov and Nejjar. Our approach is different from Labbé-Lacoin, by comparing the card shuffling with the multi-species ASEP on $\mathbb{Z}$, and using Hecke algebra and recent ASEP shift-invariance and convergence results. Our result can also be viewed as a generalization of the Oriented Swap Process finishing time convergence of Bufetov-Gorin-Romik, which is the TASEP version (of our result).

Cutoff profile of the Metropolis biased card shuffling

TL;DR

The paper analyzes the Metropolis biased card shuffling of size and proves a total-variation cutoff with window , whose profile is governed by the GOE Tracy-Widom distribution. The approach couples the finite-interval, multi-species ASEP to the infinite-line ASEP, leveraging height-function orderings, Hecke algebra identities, and contemporary KPZ fixed-point convergence results to transfer GOE fluctuations to the finite setting. This confirms a Bufetov–Nejjar conjecture and generalizes related results for the Oriented Swap Process/TASEP, providing a unified framework that connects combinatorial shuffling, integrable probability, and KPZ universality in mixing times. The methodology offers a pathway to extend such results to related multi-species exclusion processes and their finite-interval realizations.

Abstract

We consider the Metropolis biased card shuffling (also called the multi-species ASEP on a finite interval or the random Metropolis scan). Its convergence to stationary was believed to exhibit a total-variation cutoff, and that was proved a few years ago by Labbé and Lacoin. In this paper, we prove that (for cards) the cutoff window is in the order of , and the cutoff profile is given by the GOE Tracy-Widom distribution function. This confirms a conjecture by Bufetov and Nejjar. Our approach is different from Labbé-Lacoin, by comparing the card shuffling with the multi-species ASEP on , and using Hecke algebra and recent ASEP shift-invariance and convergence results. Our result can also be viewed as a generalization of the Oriented Swap Process finishing time convergence of Bufetov-Gorin-Romik, which is the TASEP version (of our result).
Paper Structure (12 sections, 14 theorems, 71 equations, 4 figures, 1 table)

This paper contains 12 sections, 14 theorems, 71 equations, 4 figures, 1 table.

Key Result

Theorem 1.1

For any $\tau \in \mathbb R$, we have where $F_{\mathop{\mathrm{GOE}}\nolimits}$ is the distribution function of the Tracy-Widom GOE distribution.

Figures (4)

  • Figure 1: An illustration of projecting the biased card shuffling into single-species ASEPs.
  • Figure 2: An illustration of the height function for an single-species ASEP configuration in a finite interval.
  • Figure 3: An illustration of various processes and their height functions: the black, yellow, brown, blue functions are $h\{\xi_0^k\}$, $h\{\ddot{\zeta}^{-1+k-N}_0\}$, $h\{\dot{\zeta}_0^{-X+k-1}\}=h\{\ddot{\zeta}_0^{-X+k-1}\}$, and $h'\{\dot{\zeta}_0^k\}$, respectively. The process $\boldsymbol{\ddot{\zeta}}^{-1+k-N}$ is the 'extension' of $\boldsymbol{\xi}^k$, and $\boldsymbol{\ddot{\zeta}}^{-X+k-1}=\boldsymbol{\dot{\zeta}}^{-X+k-1}$ is the 'intermediate process'.
  • Figure 4: An illustration of the skew-time reversibility, as given by e.g. (1.4) of quastel2022convergence.

Theorems & Definitions (26)

  • Theorem 1.1
  • Lemma 2.1
  • proof
  • Lemma 2.2
  • proof
  • Proposition 2.3
  • Proposition 2.4
  • Proposition 2.5
  • proof : Proof of Theorem \ref{['thm:main']}: upper bound
  • proof : Proof of Theorem \ref{['thm:main']}: lower bound
  • ...and 16 more