The Price equation program: simple invariances unify population dynamics, thermodynamics, probability, information and inference
Steven A. Frank

TL;DR
This paper reveals a universal mathematical structure underlying diverse disciplines by using the Price equation to unify concepts like population dynamics, thermodynamics, and information theory through simple invariances.
Contribution
It introduces the Price equation as a fundamental framework that captures the common geometric invariances across multiple scientific fields.
Findings
The Price equation separates change into frequency and value components.
Conservation of total frequency constrains the geometry of change.
Universal equations in different disciplines can be derived from simple invariances.
Abstract
The fundamental equations of various disciplines often seem to share the same basic structure. Natural selection increases information in the same way that Bayesian updating increases information. Thermodynamics and the forms of common probability distributions express maximum increase in entropy, which appears mathematically as loss of information. Physical mechanics follows paths of change that maximize Fisher information. The information expressions typically have analogous interpretations as the Newtonian balance between force and acceleration, representing a partition between direct causes of change and opposing changes in the frame of reference. This web of vague analogies hints at a deeper common mathematical structure. I suggest that the Price equation expresses that underlying universal structure. The abstract Price equation describes dynamics as the change between two sets.…
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