## Abstract

A recent article in Nature Physics unified key results from thermodynamics, statistics, and information theory. The unification arose from a general equation for the rate of change in the information content of a system. The general equation describes the change in the moments of an observable quantity over a probability distribution. One term in the equation describes the change in the probability distribution. The other term describes the change in the observable values for a given state. We show the equivalence of this general equation for moment dynamics with the widely known Price equation from evolutionary theory, named after George Price. We introduce the Price equation from its biological roots, review a mathematically abstract form of the equation, and discuss the potential for this equation to unify diverse mathematical theories from different disciplines. The new work in Nature Physics and many applications in biology show that this equation also provides the basis for deriving many novel theoretical results within each discipline.

Original language | English |
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Article number | 1395 |

Pages (from-to) | 1-5 |

Number of pages | 5 |

Journal | Entropy |

Volume | 22 |

Issue number | 12 |

DOIs | |

Publication status | Published - 10 Dec 2020 |

### Funding

Funding: This research was funded by The Donald Bren Foundation, National Science Foundation grant DEB-1939423, and DoD grant W911NF2010227.

Funders | Funder number |
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Donald Bren Foundation | |

National Science Foundation | DEB-1939423, 1939423 |

U.S. Department of Defense | W911NF2010227 |

## Keywords

- Evolutionary dynamics
- Information theory
- Interdisciplinary unification
- Natural selection
- Price equation
- Thermodynamics