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Interpretable conservation laws as sparse invariants

Ziming Liu1, Patrick Obin Sturm2, Saketh Bharadwaj3, Sam J. Silva2, and Max Tegmark1

  • 1Department of Physics, Institute of Artificial Intelligence and Fundamental Interactions, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
  • 2Department of Earth Sciences, University of Southern California, Los Angeles, California 90089, USA
  • 3Department of Chemical Engineering, Indian Institute of Technology, Hyderabad, India

Phys. Rev. E 109, L023301 – Published 27 February, 2024

DOI: https://doi.org/10.1103/PhysRevE.109.L023301

Abstract

Discovering conservation laws for a given dynamical system is important but challenging. In a theorist setup (differential equations and basis functions are both known), we propose the sparse invariant detector (SID), an algorithm that autodiscovers conservation laws from differential equations. Its algorithmic simplicity allows robustness and interpretability of the discovered conserved quantities. We show that SID is able to rediscover known and even discover new conservation laws in a variety of systems. For two examples in fluid mechanics and atmospheric chemistry, SID discovers 14 and 3 conserved quantities, respectively, where only 12 and 2 were previously known to domain experts.

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