Too Good to Be True: Entropy, Information, Computation, and the Uninformed Thermodynamics of Erasure

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Authors: John D. Norton
Cited by: 1

Abstract

Abstract The notion that theories of information and computation can augment and even complete thermodynamics has proven too enticing for many to resist, even though careful analysis has long shown that the notion fails. In so far as the results of this information-computation theoretic literature succeed, they are merely tendentious relabeling of mundane thermodynamics. When they go beyond it, they fail. The difficulties include an unsustainable conflation by Landauer’s principle of the dynamic probabilities of thermalization with the static probabilities of memory devices. The most serious failure is an enduring neglect of the import of thermodynamic fluctuations.

Fields of Study & Subjects

Advanced Thermodynamics and Statistical Mechanics Statistical Mechanics and Entropy Origins and Evolution of Life

Publication details

Journal / source
Philosophy of Science
Publisher
Cambridge University Press (CUP)
Pages
1–10
Publication date
22 May 2026
Language
EN