TL;DR
This paper provides an accessible introduction to information-theoretic entropy, suitable for undergraduates and mathematically inclined readers, covering fundamental concepts without requiring advanced background.
Contribution
It offers a clear, elementary exposition of entropy concepts tailored for educational purposes and early research training.
Findings
Introduces basic entropy notions suitable for undergraduates
Provides foundational analysis related to convergence in entropy
Serves as a teaching resource for elementary information theory
Abstract
These lecture notes concern information-theoretic notions of entropy. They are intended for, and have been successfully taught to, undergraduate students interested inresearch careers. Besides basic notions of analysis related to convergence that are typically taught in the first or second year of undergraduate studies, no other background is needed to read the notes. The notes might be also of interest to any mathematically inclined reader who wishes to learn basic facts about notions of entropy in an elementary setting.
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Taxonomy
TopicsStatistical Mechanics and Entropy · Advanced Thermodynamics and Statistical Mechanics