Alternative SU(N) conjecture for Gram interval statistics

Let ESU(N)(k,J)E_{SU(N)}(k,\mathcal J) denote the probability that a random special unitary matrix has exactly kk eigenvalues in the corresponding SU(N)SU(N) Gram interval J\mathcal J, and let G0,M(k)G_{0,M}(k) denote the proportion of Gram intervals containing exactly kk zeros in the relevant range. Alternative SU(N) conjecture. For every kN{0}k\in\mathbb N\cup\{0\},

limNESU(N)(k,J)=limMG0,M(k).\lim_{N\to\infty}E_{SU(N)}(k,\mathcal J)=\lim_{M\to\infty}G_{0,M}(k).

This conjecture is proposed as an alternative to the U(N)U(N) model because the SU(N)SU(N) probabilities appear to approximate low-height Gram-interval statistics with the same rate of convergence, although the source does not establish the common limiting value.

Sources & referencesView supporting material

Primary source

Cătălin Hanga and Christopher Hughes, “Probabilistic models for Gram's Law”, arXiv:1911.03190 (2020).

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