Top eigenvalue of a random matrix: large deviations and third order phase transition
Top eigenvalue of a random matrix: large deviations and third order phase transition
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DOI:
10.1088/1742-5468/2014/01/p01012
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发表时间:
2013-11
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通讯作者:
S. Majumdar;G. Schehr
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文献类型:
--
作者:
S. Majumdar;G. Schehr
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.