• Open Access

Interacting thermofield doubles and critical behavior in random regular graphs

O. Valba and A. Gorsky
Phys. Rev. D 103, 106013 – Published 11 May 2021

Abstract

We discuss numerically the nonperturbative effects in exponential random graphs which are analogue of eigenvalue instantons in matrix models. The phase structure of exponential random graphs with chemical potential for C4 μ4 and degree preserving constraint is clarified. The first order phase transition at critical value of chemical potential for C4 μ4RRG into bipartite phase with a formation of fixed number of bipartite clusters is found for ensemble of random regular graphs (RRG). We consider the similar phase transition in mean field version of combinatorial quantum gravity based of the Ollivier graph curvature for RRG supplemented with hard-core constraint and show that a order of a phase transition at μ4CRRG and the structure of emerging phase depend on a vertex degree d in RRG. For d=3 the bipartite closed ribbon emerges at μ4>μ4CRRG while for d>3 the ensemble of isolated or weakly interacting hypercubes supplemented with the bipartite closed ribbon gets emerged at the first order phase transition with a clear-cut hysteresis. If the additional connectedness condition is imposed the phase at μ4>μ4CRRG gets identified as the closed chain of weakly coupled hypercubes. Since the ground state of isolated hypercube is the thermofield double we suggest that the dual holographic picture involves multiboundary wormholes. Treating RRG as a model of a Hilbert space for a interacting many-body system we discuss the patterns of the Hilbert space fragmentation at the phase transition. We also briefly comment on a possible relation of the found phase transition to the problem of holographic interpretation of a partial deconfinement transition in the gauge theories.

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  • Received 31 March 2021
  • Accepted 12 April 2021

DOI:https://doi.org/10.1103/PhysRevD.103.106013

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI. Funded by SCOAP3.

Published by the American Physical Society

Physics Subject Headings (PhySH)

NetworksStatistical Physics & Thermodynamics

Authors & Affiliations

O. Valba1,2 and A. Gorsky3,4

  • 1Department of Applied Mathematics, National Research University Higher School of Economics, Moscow 101000, Russia
  • 2Federal Research Center of Chemical Physics RAS, Moscow 119991, Russia
  • 3Institute of Information Transmission Problems RAS, Moscow 127051, Russia
  • 4Moscow Institute of Physics and Technology, Dolgoprudny 141700, Russia

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Issue

Vol. 103, Iss. 10 — 15 May 2021

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