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Mathematical Structure of Evolutionary Theory

Quantitative Methods 2007-05-23 v1 Statistical Mechanics Dynamical Systems Adaptation and Self-Organizing Systems Populations and Evolution

Abstract

Here we postulate three laws which form a mathematical framework to capture the essence of Darwinian evolutionary dynamics. The second law is most quantitative and is explicitly expressed by a unique form of stochastic differential equation. A precise definition of Wright's adaptive landscape is given and a new and consistent interpretation of Fisher's fundamental theorem of natural selection is provided. Based on a recently discovered theorem the generality of the proposed laws is illustrated by an explicit demonstration of their equivalence to a general conventional non-equilibrium dynamics formulation. The proposed laws provide a coherence framework to discuss several current evolutionary problems, such as speciation and stability, and gives a firm base for the application of statistical physics tools in Darwinian dynamics.

Keywords

Cite

@article{arxiv.q-bio/0403020,
  title  = {Mathematical Structure of Evolutionary Theory},
  author = {P. Ao},
  journal= {arXiv preprint arXiv:q-bio/0403020},
  year   = {2007}
}

Comments

10 pages

R2 v1 2026-07-22T19:23:00.985Z