The Second Law and Informatics

TL;DR

This paper proposes a unification of thermodynamics and information theory, defining concepts like equilibrium and temperature for informatics systems, aligning with classical thermodynamic principles.

Contribution

It introduces a thermodynamic framework for informatics systems, linking entropy, temperature, and information measures in a novel way.

Findings

Defined temperature for informatics systems consistent with Shannon information

Established thermodynamic principles like the Clausius inequality in informatics context

Linked data randomness to thermodynamic entropy

Abstract

A unification of thermodynamics and information theory is proposed. It is argued that similarly to the randomness due to collisions in thermal systems, the quenched randomness that exists in data files in informatics systems contributes to entropy. Therefore, it is possible to define equilibrium and to calculate temperature for informatics systems. The obtained temperature yields correctly the Shannon information balance in informatics systems and is consistent with the Clausius inequality and the Carnot cycle.