Joint distribution of the first and second eigenvalues at the soft edge of unitary ensembles

The density function for the joint distribution of the first and second eigenvalues at the soft edge of unitary ensembles is found in terms of a Painlev? II transcendent and its associated isomonodromic system. As a corollary, the density function for the spacing between these two eigenvalues is similarly characterized.The particular solution of Painlev? II that arises is a double shifted B?cklund transformation of the Hastings?McLeod solution, which applies in the case of the distribution of the largest eigenvalue at the soft edge. Our deductions are made by employing the hard-to-soft edge transition, involving the limit as the repulsion strength at the hard edge a????, to existing results for the joint distribution of the first and second eigenvalue at the hard edge (Forrester and Witte 2007 Kyushu J. Math. 61 457?526). In addition recursions under a???a?+?1 of quantities specifying the latter are obtained. A Fredholm determinant type characterization is used to provide accurate numerics for the distribution of the spacing between the two largest eigenvalues.

[1]  A. Its,et al.  Higher‐order analogues of the Tracy‐Widom distribution and the Painlevé II hierarchy , 2009, 0901.2473.

[2]  Edmund Taylor Whittaker,et al.  A Course of Modern Analysis , 2021 .

[3]  Michio Jimbo,et al.  Monodromy preserving deformation of linear ordinary differential equations with rational coefficients: I. General theory and τ-function , 1981 .

[4]  Kazuo Okamoto,et al.  Studies on the Painlev equations: III. Second and fourth painlev equations,P II andP IV , 1986 .

[5]  Edmund Taylor Whittaker,et al.  A Course of Modern Analysis: An Introduction to the General Theory of Infinite Processes and of Analytic Functions; with an Account of the Principal Transcendental Functions , 1920, Nature.

[6]  Y. Ohyama,et al.  A coalescent diagram of the Painlevé equations from the viewpoint of isomonodromic deformations , 2006 .

[7]  P. Forrester Log-Gases and Random Matrices (LMS-34) , 2010 .

[8]  Ronald F. Boisvert,et al.  NIST Handbook of Mathematical Functions , 2010 .

[9]  E. Hubert,et al.  A note on the Lax pairs for Painlevéequations , 1999 .

[10]  A. Kapaev Lax pairs for Painlevé equations , 2002 .

[11]  E. Coddington,et al.  Theory of Ordinary Differential Equations , 1955 .

[12]  T. Claeys,et al.  Painlevé II asymptotics near the leading edge of the oscillatory zone for the Korteweg—de Vries equation in the small‐dispersion limit , 2008, 0812.4142.

[13]  Increasing subsequences and the hard-to-soft edge transition in matrix ensembles , 2002, math-ph/0205007.

[14]  V. B. Uvarov The connection between systems of polynomials orthogonal with respect to different distribution functions , 1969 .

[15]  Yasutaka Sibuya,et al.  Linear Differential Equations in the Complex Domain: Problems of Analytic Continuation , 1990 .

[16]  Peter J. Forrester,et al.  The Distribution of the first Eigenvalue Spacing at the Hard Edge of the Laguerre Unitary Ensemble , 2007, 0704.1926.

[17]  P. Forrester Log-Gases and Random Matrices , 2010 .

[18]  Vladimir E. Korepin,et al.  Differential Equations for Quantum Correlation Functions , 1990 .

[19]  Michio Jimbo,et al.  Monodromy preserving deformation of linear ordinary differential equations with rational coefficients. III , 1981 .

[20]  Kazuo Okamoto Studies on the Painlevé equations II. Fifth Painlevé equation PV , 1987 .

[21]  Herbert Spohn,et al.  Exact Scaling Functions for One-Dimensional Stationary KPZ Growth , 2004 .

[22]  Folkmar Bornemann,et al.  On the Numerical Evaluation of Distributions in Random Matrix Theory: A Review , 2009, 0904.1581.

[23]  渋谷 泰隆 Linear differential equations in the complex domain : problems of analytic continuation , 1990 .

[24]  M. Noumi Painlevé Equations through Symmetry , 2004 .

[25]  Momar Dieng,et al.  Distribution functions for edge eigenvalues in orthogonal and symplectic ensembles: Painlevé representations , 2005 .

[26]  Folkmar Bornemann,et al.  Accuracy and Stability of Computing High-order Derivatives of Analytic Functions by Cauchy Integrals , 2009, Found. Comput. Math..

[27]  A. Newell,et al.  Monodromy- and spectrum-preserving deformations I , 1980 .

[28]  Limiting Distributions for a Polynuclear Growth Model with External Sources , 2000, math/0003130.

[29]  Valerii I. Gromak,et al.  Bäcklund Transformations of Painlevé Equations and Their Applications , 1999 .

[30]  P. J. Forrester,et al.  Application of the τ-Function Theory¶of Painlevé Equations to Random Matrices:¶PIV, PII and the GUE , 2001, math-ph/0103025.

[31]  Gregory Schehr,et al.  Extremes of N Vicious Walkers for Large N: Application to the Directed Polymer and KPZ Interfaces , 2012, 1203.1658.

[32]  P. Forrester The spectrum edge of random matrix ensembles , 1993 .

[33]  P. J. Forrester,et al.  Application of the τ-function theory of Painlevé equations to random matrices: PV, PIII, the LUE, JUE, and CUE , 2002 .