Universal distribution of random matrix eigenvalues near the "birth of a cut" transition
classification
🧮 math-ph
cond-mat.stat-mechmath.MPnlin.SI
keywords
transitionconnectedcriticaldistributioneigenvaluematrixrandomappears
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We study the eigenvalue distribution of a random matrix, at a transition where a new connected component of the eigenvalue density support appears away from other connected components. Unlike previously studied critical points, which correspond to rational singularities \rho(x)\sim x^{p/q} classified by conformal minimal models and integrable hierarchies, this transition shows logarithmic and non-analytical behaviours. There is no critical exponent, instead, the power of N changes in a saw teeth behaviour.
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