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Statistical patterns in the equations of physics and the emergence of a meta-law of nature

Abstract:
Physics seeks to uncover the laws of Nature and express them through mathematical equations . Despite the vast diversity of natural phenomena, physical equations exhibit structural regularities that set them apart from arbitrary mathematical expressions. While principles such as dimensional analysis have long guided the formulation of physical models, the exploration of more subtle statistical patterns within the equations of physics remains an open question. Here, by analysing four corpora of physics equations and applying advanced implicit-likelihood techniques, we find that the frequency of mathematical operators follows an exponential decay law, in contrast to Zipf’s power law for word frequencies in natural languages. This reveals a statistical meta-law of physics, possibly reflecting a combination of communication efficiency and constraints imposed by Nature itself. The meta-law offers practical benefits for symbolic regression by drastically narrowing down the space of physically plausible expressions. More broadly, it may inform the development of language models that can generate coherent mathematical representations, advancing the automation of physical law discovery. This article is part of the discussion meeting issue ‘Symbolic regression in the physical sciences’.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1098/rsta.2025.0091

Authors

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Institution:
University of Oxford
Oxford college:
Mansfield College
Role:
Author
ORCID:
0000-0002-0861-5363
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Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Physics - Central
Role:
Author
ORCID:
0000-0002-3021-2851
More by this author
Role:
Author
ORCID:
0000-0003-0685-9791
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Physics - Central
Role:
Author


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Funder identifier:
https://ror.org/03wnrjx87


Publisher:
The Royal Society
Journal:
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences More from this journal
Volume:
384
Issue:
2317
Pages:
20250091
Article number:
20250091
Publication date:
2026-04-09
Acceptance date:
2025-08-23
DOI:
EISSN:
1471-2962
ISSN:
1364503X, 1364-503X


Language:
English
Keywords:
Source identifiers:
4048008
Deposit date:
2026-05-14
ARK identifier:
This ORA record was generated from metadata provided by an external service. It has not been edited by the ORA Team.

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