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arxiv: 1311.0580 · v4 · pith:6LWNGFRCnew · submitted 2013-11-04 · ❄️ cond-mat.stat-mech · cond-mat.dis-nn· math-ph· math.MP· math.PR

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

classification ❄️ cond-mat.stat-mech cond-mat.dis-nnmath-phmath.MPmath.PR
keywords largebetafluctuationstransitiondeviationslambdaorderphase
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We study the fluctuations of the largest eigenvalue $\lambda_{\max}$ of $N \times N$ random matrices in the limit of large $N$. The main focus is on Gaussian $\beta$-ensembles, including in particular the Gaussian orthogonal ($\beta=1$), unitary ($\beta=2$) and symplectic ($\beta = 4$) ensembles. The probability density function (PDF) of $\lambda_{\max}$ consists, for large $N$, of a central part described by Tracy-Widom distributions flanked, on both sides, by two large deviations tails. While the central part characterizes the typical fluctuations of $\lambda_{\max}$ -- of order ${\cal O}(N^{-2/3})$ --, the large deviations tails are instead associated to extremely rare fluctuations -- of order ${\cal O}(1)$. 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.

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