An algebraic approach to information theory
Manas K Patra, Samuel L Braunstein

TL;DR
This paper introduces an algebraic framework for classical information theory, providing new computational tools and reinterpreting key theorems within an algebraic context.
Contribution
It presents a novel algebraic model for probability and information theory, offering fresh insights and methods for analysis.
Findings
Reformulation of probability and information theory theorems algebraically
Development of new computational and analytical tools
Enhanced understanding of classical information theory through algebraic structures
Abstract
This work proposes an algebraic model for classical information theory. We first give an algebraic model of probability theory. Information theoretic constructs are based on this model. In addition to theoretical insights provided by our model one obtains new computational and analytical tools. Several important theorems of classical probability and information theory are presented in the algebraic framework.
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Taxonomy
TopicsQuantum Mechanics and Applications · Computability, Logic, AI Algorithms · Statistical Mechanics and Entropy
