Statistical mechanics of graph models and their implications for emergent spacetime manifolds
Si Chen, Steven S. Plotkin

TL;DR
This paper introduces a statistical graph model inspired by quantum spacetime theories, showing that low-energy states form emergent 2D manifolds with complex topologies, and explores phase transitions and disorder effects.
Contribution
It proposes a novel graph-based model for emergent spacetime manifolds, analyzing their properties and phase transitions through numerical simulations and theoretical insights.
Findings
Low-energy states are near-triangulations of 2D manifolds.
The transition to manifold formation is first order and microscopic-dependent.
Graph entropy is super-extensive, leading to zero transition temperature in infinite systems.
Abstract
Inspired by "quantum graphity" models for spacetime, a statistical model of graphs is proposed to explore possible realizations of emergent manifolds. Graphs with given numbers of vertices and edges are considered, governed by a very general Hamiltonian that merely favors graphs with near-constant valency and local rotational symmetry. The ratio of vertices to edges controls the dimensionality of the emergent manifold. The model is simulated numerically in the canonical ensemble for a given vertex to edge ratio, where it is found that the low-energy states are almost triangulations of two-dimensional manifolds. The resulting manifold shows topological "handles" and surface intersections in a higher embedding space, as well as non-trivial fractal dimension consistent with previous spectral analysis, and nonlocal links consistent with models of disordered locality. The transition to an…
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