Stable Homology as an Indicator of Manifoldlikeness in Causal Set Theory
Seth Major, David Rideout, Sumati Surya

TL;DR
This paper introduces a computational method to analyze the homology of causal sets, helping to identify when they resemble continuous manifolds by examining the stability of homology groups as a function of a thickening parameter.
Contribution
The paper develops a numerical tool to compute and study the homology of causal sets, providing a new way to test for manifoldlikeness based on homological stability.
Findings
Homology groups stabilize at a certain scale in simulated 2d and 3d causal sets.
Rapid fluctuations in homology occur below the stability scale.
Stability of homology groups indicates potential manifoldlikeness.
Abstract
We present a computational tool that can be used to obtain the "spatial" homology groups of a causal set. Localisation in the causal set is seeded by an inextendible antichain, which is the analog of a spacelike hypersurface, and a one parameter family of nerve simplicial complexes is constructed by "thickening" this antichain. The associated homology groups can then be calculated using existing homology software, and their behaviour studied as a function of the thickening parameter. Earlier analytical work showed that for an inextendible antichain in a causal set which can be approximated by a globally hyperbolic spacetime region, there is a one parameter sub-family of these simplicial complexes which are homological to the continuum, provided the antichain satisfies certain conditions. Using causal sets that are approximated by a set of 2d spacetimes our numerical analysis suggests…
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