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Large Random Matrices: Eigenvalue Distribution

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arxiv hep-th/9401165 v1 pith:M7TH77KG submitted 1994-01-31 hep-th nlin.SIsolv-int

classification hep-thnlin.SIsolv-int
keywords functionscorrelationdistributioneigenvaluelargematrixrandomuniversal
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A recursive method is derived to calculate all eigenvalue correlation functions of a random hermitian matrix in the large size limit, and after smoothing of the short scale oscillations. The property that the two-point function is universal, is recovered and the three and four-point functions are given explicitly. One observes that higher order correlation functions are linear combinations of universal functions with coefficients depending on an increasing number of parameters of the matrix distribution.

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  1. Spectral Curves with Complex Multiplication in Hermitian Matrix Models

    hep-th 2025-09 reject novelty 5.0 of 10

    The claimed j(g) formula and the associated complex multiplication coupling values are incorrect: Eq. (80) does not follow from Eqs. (78) and (79).

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