Article
Version 3
Preserved in Portico This version is not peer-reviewed
Entropy and Its Application to Number Theory
Version 1
: Received: 27 March 2022 / Approved: 29 March 2022 / Online: 29 March 2022 (03:02:06 CEST)
Version 2 : Received: 6 June 2022 / Approved: 7 June 2022 / Online: 7 June 2022 (04:14:37 CEST)
Version 3 : Received: 16 November 2023 / Approved: 16 November 2023 / Online: 17 November 2023 (08:59:25 CET)
Version 4 : Received: 28 November 2023 / Approved: 29 November 2023 / Online: 29 November 2023 (10:59:25 CET)
Version 5 : Received: 18 December 2023 / Approved: 18 December 2023 / Online: 18 December 2023 (10:28:51 CET)
Version 6 : Received: 30 December 2023 / Approved: 30 December 2023 / Online: 30 December 2023 (16:24:49 CET)
Version 7 : Received: 8 January 2024 / Approved: 8 January 2024 / Online: 8 January 2024 (17:00:00 CET)
Version 2 : Received: 6 June 2022 / Approved: 7 June 2022 / Online: 7 June 2022 (04:14:37 CEST)
Version 3 : Received: 16 November 2023 / Approved: 16 November 2023 / Online: 17 November 2023 (08:59:25 CET)
Version 4 : Received: 28 November 2023 / Approved: 29 November 2023 / Online: 29 November 2023 (10:59:25 CET)
Version 5 : Received: 18 December 2023 / Approved: 18 December 2023 / Online: 18 December 2023 (10:28:51 CET)
Version 6 : Received: 30 December 2023 / Approved: 30 December 2023 / Online: 30 December 2023 (16:24:49 CET)
Version 7 : Received: 8 January 2024 / Approved: 8 January 2024 / Online: 8 January 2024 (17:00:00 CET)
How to cite: Fujino, S. Entropy and Its Application to Number Theory. Preprints 2022, 2022030371. https://doi.org/10.20944/preprints202203.0371.v3 Fujino, S. Entropy and Its Application to Number Theory. Preprints 2022, 2022030371. https://doi.org/10.20944/preprints202203.0371.v3
Abstract
In this paper, we propose an extension of the Planck distribution function derived from the Boltzmann principle. That is, we consider extending Planck's law with new distribution functions. In addition, using ideas applied to the expansion of the Planck distribution function, Von Koch's inequality is derived without using the Riemann hypothesis, showing that the abc conjecture is negated. We also describe some challenges for the future. Namely, we will discuss that Entropy is related to dynamical systems described by logistic function models, such as the bacterial and the population growth.
Keywords
Entropy; Boltzmann principle; Planck’s law; Dynamical system; Von Koch’s inequality; Riemann Hypothesis; abc conjecture
Subject
Physical Sciences, Thermodynamics
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Comments (1)
We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.
Leave a public commentSend a private comment to the author(s)
* All users must log in before leaving a comment
Commenter: Seiji Fujino
Commenter's Conflict of Interests: Author
1, Corrections to sentences and typos , Addition of references,
2, In section 3), modified the definition $W_{\pi_{f},x}$ ,
3, In subsection 3.3), corrected the transformation of the formula $S'_{\pi_f}(x)$,
4, In section 5), Changed the title of section 5) from {Issuse for the future} to {Generalization and application to dynamical systems}.
5, In section 5), modifyied the function $Q_D(x)$ to $Q_D(x)/\xi$ in $S_{D}(x)$, $S'_{D}(x)$ and $S''_{D}(x)$ .
Thanks a lot.
6, In section 5), deleted the discussion of Coulomb's law and Newton's law.