Top eigenvalue of a random matrix: large deviations and third order phase transition

By Satya N. Majumdar, G. Schehr. 2013

182 citations recorded by the source corpus.

We study the fluctuations of the largest eigenvalue λmax of N × N random matrices in the limit of large N. The main focus is on Gaussian β ensembles, including in particular the Gaussian orthogonal (β = 1), unitary (β = 2) and symplectic (β = 4) ensembles. The probability density function (PDF) of λmax consists, for large N, of a central part described by Tracy–Widom distributions flanked, on both sides, by two large deviation tails. While the central part characterizes the typical fluctuations of λmax—of order O(N−2/3)?> —the large deviation tails are instead associated with extremely rare fluctuations—of order O(1)?>. Here we review some recent developments in the theory of these extremely rare events using a Coulomb gas approach. We discuss in particular the third order phase transition which separates the left tail from the right tail, a transition akin to the so-called Gross–Witten–Wadia phase transition found in 2-d lattice quantum chromodynamics. We also discuss the occurrence of similar third order transitions in various physical problems, including non-intersecting Brownian motions, conductance fluctuations in mesoscopic physics and entanglement in a bipartite system.

Subfields: Applied Mathematics, Condensed Matter Physics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/327bf9cf2becbf6d054e3347e9b0f16e17f20495

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In Applied Mathematics

  1. Jean-Philippe Bouchaud

In Condensed Matter Physics

  1. Jean-Philippe Bouchaud
  2. Marc Potters
  3. Michael W. Mahoney
  4. Charles H. Martin
  5. Gautier Marti
  6. Philippe Donnat
  7. Mikolaj Binkowski
  8. Cars H. Hommes

In Statistics and Probability

  1. Jean-Philippe Bouchaud
  2. Joel Bun
  3. Marc Potters
  4. Iain M. Johnstone
  5. Michael W. Mahoney
  6. Charles H. Martin

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