Statistical Gravity through Affine Quantization
Riccardo Fantoni

TL;DR
This paper introduces a novel approach to incorporate temperature effects into Einstein's general relativity using path integral methods on a high-dimensional flat space, enabling Monte Carlo computations.
Contribution
It proposes a new framework combining affine quantization and path integral Monte Carlo to study temperature effects in general relativity.
Findings
Path integral on 10-dimensional flat space models temperature effects.
Monte Carlo methods can compute the proposed path integral.
Framework opens new avenues for quantum gravity research.
Abstract
I propose a possible way to introduce the effect of temperature (defined through the virial theorem) into Einstein's theory of general relativity. This requires the computation of a path integral on a 10-dimensional flat space in a four dimensional spacetime lattice. Standard path integral Monte Carlo methods can be used to compute it.
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Taxonomy
TopicsCosmology and Gravitation Theories · Black Holes and Theoretical Physics · Geophysics and Gravity Measurements
