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On the Distribution of the Length of the Longest Increasing Subsequence of Random Permutations

Combinatorics · Submitted 16 Oct 1998

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim The main result in this paper is a proof that the distribution function for $l_N$, suitably centered and scaled, converges to the Tracy-Widom distribution [TW1] of the largest eigenvalue of a random GUE matrix.

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arXiv IDmath/9810105 (version 2)
Pith IDXY6L6RSA, Pith's permanent record of this paper and its review
CitationJinho Baik, Kurt Johansson, Percy Deift. "On the Distribution of the Length of the Longest Increasing Subsequence of Random Permutations." arXiv:math/9810105 (1998). https://pith.science/paper/XY6L6RSA
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arXiv listing abstract v2. Results and the main claim are underlined; .

The authors consider the length, $l_N$, of the length of the longest increasing subsequence of a random permutation of $N$ numbers. The main result in this paper is a proof that the distribution function for $l_N$, suitably centered and scaled, converges to the Tracy-Widom distribution [TW1] of the largest eigenvalue of a random GUE matrix. The authors also prove convergence of moments. The proof is based on the steepest decent method for Riemann-Hilbert problems, introduced by Deift and Zhou in 1993 [DZ1] in the context of integrable systems. The applicability of the Riemann-Hilbert technique depends, in turn, on the determinantal formula of Gessel [Ge] for the Poissonization of the distribution function of $l_N$.

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#sentencerolethe authors' own workstates the main conclusionstrength
s0 The authors consider the length, $l_N$, of the length of the longest increasing subsequence of a random permutation of $N$ numbers. background 0.87 0.56 0.02 asserted 0.85
s1 The main result in this paper is a proof that the distribution function for $l_N$, suitably centered and scaled, converges to the Tracy-Widom distribution [TW1] of the largest eigenvalue of a random GUE matrix. result 0.97 0.94 0.98 asserted 1.00
s2 The authors also prove convergence of moments. result 0.94 0.95 0.03 asserted 1.00
s3 The proof is based on the steepest decent method for Riemann-Hilbert problems, introduced by Deift and Zhou in 1993 [DZ1] in the context of integrable systems. method 0.99 0.14 0.02 asserted 1.00
s4 The applicability of the Riemann-Hilbert technique depends, in turn, on the determinantal formula of Gessel [Ge] for the Poissonization of the distribution function of $l_N$. method 0.92 0.16 0.02 asserted 1.00

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The paper
Original abstract

The authors consider the length, $l_N$, of the length of the longest increasing subsequence of a random permutation of $N$ numbers. The main result in this paper is a proof that the distribution function for $l_N$, suitably centered and scaled, converges to the Tracy-Widom distribution [TW1] of the largest eigenvalue of a random GUE matrix. The authors also prove convergence of moments. The proof is based on the steepest decent method for Riemann-Hilbert problems, introduced by Deift and Zhou in 1993 [DZ1] in the context of integrable systems. The applicability of the Riemann-Hilbert technique depends, in turn, on the determinantal formula of Gessel [Ge] for the Poissonization of the distribution function of $l_N$.

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39 arXiv papers cite this in 64 sentences

Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

Papers citing it · 33 sentences without a confident label

Uses its method or tool 2 papers
Compares with it 1 paper
  • Finally, we note that the approach of Baik, Deift and Johansson [ref] for the edge behavior of Plancherel random partitions was based on Riemann-Hilbert techniques, while the approach that we follow here is much closer in spirit to that developed by Borodin, Okounkov and Olshanski [ref] .

    The periodic Schur process and free fermions at finite temperature · Conclusion · 0.82

Cites it as support 1 paper
Cites it as background 24 papers
  • Of particular interest is the case $β= 2$ ($$ Tracy-Widom distribution) that initially appeared in the fluctuations of the largest eigenvalue of a $$ random matrix [ref] and that meanwhile exhibited a universal feature in a variety of models: longuest increasing subsequence of a random uniform permutation [ref] , last passage percolation [ref] , log-Gamma polymer partition function [ref] , asymmetric simple exclusion process [ref] , value in $0$ of the Hopf-Cole solution to the KPZ equation [ref] , O'Connell-Yor semidiscrete directed polymer partition function [ref] , etc.

    Remarkable structures in integrable probability, I: max-independence structures · Motivations · 0.95

  • Moreover, as shown by Baik, Deift, and Johansson [ref] , Borodin, Okounkov, and Olshanski [ref] and Johansson [ref] , the edge scaling limit of the random permutations and the Plancherel measure yields the Tracy-Widom distribution, originally introduced to describe the fluctuation of the largest eigenvalue of the Gaussian Unitary Ensemble [ref] .

    Multicritical Scaling Limit of Shifted Schur Measure · Introduction · 0.88

  • The RSK was first applied in this context by Johansson [ref] and Baik–Deift–Johansson [ref] , and the dynamical perspective has been substantially developed by O'Connell [ref] , [ref] , [ref] , Biane–Bougerol–O'Connell [ref] (see also Chhaibi [ref] ), Corwin–O'Connell–Sep­pä­läinen–Zygou­ras [ref] , O'Connell–Pei [ref] , see also O'Connell–Seppäläinen–Zygo­uras [ref] .

    Nearest neighbor Markov dynamics on Macdonald processes · Introduction · 0.95

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