The spectral form factor in the `t Hooft limit -- Intermediacy versus universality

preprint2022arXivOpen access

Abstract

The Spectral Form Factor (SFF) is a convenient tool for the characterization of eigenvalue statistics of systems with discrete spectra, and thus serves as a proxy for quantum chaoticity. This work presents an analytical calculation of the SFF of the Chern-Simons Matrix Model (CSMM), which was first introduced to describe the intermediate level statistics of disordered electrons at the mobility edge. The CSMM is characterized by a parameter 0≤q≤1 0 \leq q\leq 1, where the Circular Unitary Ensemble (CUE) is recovered for q→0q\to 0. The CSMM was later found as a matrix model description of U(N)U(N) Chern-Simons theory on S3S^3, which is dual to a topological string theory characterized by string coupling gs=−log⁡qg_s=-\log q. The spectral form factor is proportional to a colored HOMFLY invariant of a (2n,2)(2n,2)-torus link with its two components carrying the fundamental and antifundamental representations, respectively. We check that taking N→∞N \to \infty whilst keeping q<1q<1 reduces the connected SFF to an exact linear ramp of unit slope, confirming the main result from arXiv:2012.11703 for the specific case of the CSMM. We then consider the `t Hooft limit, where N→∞N \to \infty and q→1−q \to 1^- such that y=qNy = q^N remains finite. As we take q→1−q\to 1^-, this constitutes the opposite extreme of the CUE limit. In the `t Hooft limit, the connected SFF turns into a remarkable sequence of polynomials which, as far as the authors are aware, have not appeared in the literature thus far. A gap opens in the spectrum and, after unfolding by a constant rescaling, the connected SFF approximates a linear ramp of unit slope for all yy except y≈1y \approx 1, where the connected SFF goes to zero. We thus find that, although the CSMM was introduced to describe intermediate statistics and the `t Hooft limit is the opposite limit of the CUE, we still recover Wigner-Dyson universality for all yy except y≈1y\approx 1.

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