Emergent Space-Time via a Geometric Renormalization Method
Saeed Rastgoo, Manfred Requardt

TL;DR
This paper introduces a geometric renormalization scheme for metric spaces, including graphs, to model emergent space-time, analyzing properties like scale invariance, dimension stability, and potential fractal or wormhole structures.
Contribution
It proposes a novel geometric renormalization method for metric spaces, providing criteria for continuum limits and analyzing properties like scale invariance and dimension stability.
Findings
Coarse grained spaces can have different distance functions while being homeomorphic.
The dimension remains stable under local quasi-isometric coarse graining.
Limit spaces may be fractal if the dimension is non-integer.
Abstract
We present a purely geometric renormalization scheme for metric spaces (including uncolored graphs), which consists of a coarse graining and a rescaling operation on such spaces. The coarse graining is based on the concept of quasi-isometry, which yields a sequence of discrete coarse grained spaces each having a continuum limit under the rescaling operation. We provide criteria under which such sequences do converge within a superspace of metric spaces, or may constitute the basin of attraction of a common continuum limit, which hopefully, may represent our space-time continuum. We discuss some of the properties of these coarse grained spaces as well as their continuum limits, such as scale invariance and metric similarity, and show that different layers of spacetime can carry different distance functions while being homeomorphic. Important tools in this analysis are the…
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