Literature DB >> 32146893

Simple unity among the fundamental equations of science.

Steven A Frank1.   

Abstract

The Price equation describes the change in populations. Change concerns some value, such as biological fitness, information or physical work. The Price equation reveals universal aspects for the nature of change, independently of the meaning ascribed to values. By understanding those universal aspects, we can see more clearly why fundamental mathematical results in different disciplines often share a common form. We can also interpret more clearly the meaning of key results within each discipline. For example, the mathematics of natural selection in biology has a form closely related to information theory and physical entropy. Does that mean that natural selection is about information or entropy? Or do natural selection, information and entropy arise as interpretations of a common underlying abstraction? The Price equation suggests the latter. The Price equation achieves its abstract generality by partitioning change into two terms. The first term naturally associates with the direct forces that cause change. The second term naturally associates with the changing frame of reference. In the Price equation's canonical form, total change remains zero because the conservation of total probability requires that all probabilities invariantly sum to one. Much of the shared common form for the mathematics of different disciplines may arise from that seemingly trivial invariance of total probability, which leads to the partitioning of total change into equal and opposite components of the direct forces and the changing frame of reference. This article is part of the theme issue 'Fifty years of the Price equation'.

Entities:  

Keywords:  Price equation; conservation laws; information theory; invariance; natural selection; physical mechanics

Mesh:

Year:  2020        PMID: 32146893      PMCID: PMC7133502          DOI: 10.1098/rstb.2019.0351

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  6 in total

Review 1.  Natural selection maximizes Fisher information.

Authors:  S A Frank
Journal:  J Evol Biol       Date:  2008-11-11       Impact factor: 2.411

2.  Extension of covariance selection mathematics.

Authors:  G R Price
Journal:  Ann Hum Genet       Date:  1972-04       Impact factor: 1.670

3.  The nature of selection. (Written circa 1971, published posthumously)

Authors:  G R Price
Journal:  J Theor Biol       Date:  1995-08-07       Impact factor: 2.691

Review 4.  Natural selection. IV. The Price equation.

Authors:  S A Frank
Journal:  J Evol Biol       Date:  2012-04-05       Impact factor: 2.411

5.  Universal Darwinism As a Process of Bayesian Inference.

Authors:  John O Campbell
Journal:  Front Syst Neurosci       Date:  2016-06-07

6.  Universal expressions of population change by the Price equation: Natural selection, information, and maximum entropy production.

Authors:  Steven A Frank
Journal:  Ecol Evol       Date:  2017-04-04       Impact factor: 2.912

  6 in total
  2 in total

1.  Fifty years of the Price equation.

Authors:  Jussi Lehtonen; Samir Okasha; Heikki Helanterä
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-03-09       Impact factor: 6.237

2.  The Fundamental Equations of Change in Statistical Ensembles and Biological Populations.

Authors:  Steven A Frank; Frank J Bruggeman
Journal:  Entropy (Basel)       Date:  2020-12-10       Impact factor: 2.524

  2 in total

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