Submitted:
09 May 2025
Posted:
12 May 2025
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Probability on Curved Manifolds
3. Black Hole Geometry and Curvature Growth
4. Probability Normalization and Breakdown
5. Implications for Information and Entropy
6. Toward a Geometric Probability Framework
- Curved space stochastic mechanics, which would incorporate curvature into random walks and diffusion processes, allowing for the modeling of probabilistic behavior in curved space.
- Renormalized probability theories, which could adapt the normalization conditions of probability distributions to account for the geometric constraints of curved space-time.
- Quantum gravity models, such as loop quantum gravity or string theory, which smooth out singularities and might offer a consistent probabilistic interpretation.
7. Conclusion
References
- Hawking, S. W. , & Ellis, G. F. R. (1973). In The Large-Scale Structure of Space-Time; Cambridge University Press.
- Wald, R. M. General Relativity; University of Chicago Press, 1984. [Google Scholar]
- Misner, C. W.; Thorne, K. S.; Wheeler, J. A. Gravitation; W. H. Freeman, 1973. [Google Scholar]
- Birrell, N.D.; Davies, P.C.W. Quantum Fields in Curved Space; Cambridge University Press, 1982. [Google Scholar]
- Bekenstein, J. D. Black holes and entropy. Physical Review D 1973, 7, 2333. [Google Scholar] [CrossRef]
- Penrose, R. Gravitational collapse and space-time singularities. Physical Review Letters 1965, 14, 57. [Google Scholar] [CrossRef]
- Gibbons, G.W.; Hawking, S.W. Cosmological event horizons, thermodynamics, and particle creation. Physical Review D 1977, 15, 2738. [Google Scholar] [CrossRef]
- Isham, C. J. Lectures on Quantum Theory: Mathematical and Structural Foundations; Imperial College Press, 1995. [Google Scholar]
- Rovelli, C. Quantum Gravity; Cambridge University Press, 2004. [Google Scholar]
- Padmanabhan, T. Gravitation: Foundations and Frontiers; Cambridge University Press, 2010. [Google Scholar]
- Dhormare, R. Gravity and Probability: A Geometric Extension; Preprint.org; 2025. [Google Scholar]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).