Jacobson's thermodynamic approach to classical gravity applied to non-Riemannian geometries: remarks on the simplicity of Nature
Jhan N. Martinez (1), Jose F. Rodriguez-Ruiz (2), Yeinzon Rodriguez (1,2) ((1) Universidad Industrial de Santander, (2) Universidad Antonio Narino)

TL;DR
This paper explores Jacobson's thermodynamic derivation of gravity in non-Riemannian geometries, suggesting that the simplest Einstein-Hilbert action is not favored by Nature outside Riemannian cases, and proposing an alternative involving torsion.
Contribution
It extends Jacobson's thermodynamic approach to non-Riemannian geometries and identifies a preferred gravitational theory involving torsion, highlighting differences from Riemannian cases.
Findings
Einstein-Hilbert action is not the natural choice in non-Riemannian geometries.
A theory with Einstein-Hilbert plus quadratic torsion term is favored in certain non-Riemannian scenarios.
The approach reveals inconsistencies when extending to full non-Riemannian geometries.
Abstract
Three decades ago, Ted Jacobson surprised us with a very appealing approach to classical gravity. According to him, the gravitational field equations are the consequence of the first law of thermodynamics applied to a Rindler observer. Jacobson's approach being formulated for Riemannian geometries, we have wondered what its consequences would be for non-Riemannian geometries. The results of our quest have been particularly appealing: we have found that the theory that derives from the Einstein-Hilbert action, arguably ``the simplest one'', does not belong to the pool of gravitational theories available for Nature's selection (except in the Riemannian case). In the search of a unique alternative, we have considered the hypotheses employed in the formulation of the Lanczos-Lovelock theories of gravity. Together, the two approaches point towards the theory that derives from the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
