journal article·2022-07-01Open access

Second law of information dynamics

Melvin M. Vopson, S. Lepadatu

AIP Advances· Volume 12· Issue 7

Abstract

One of the most powerful laws in physics is the second law of thermodynamics, which states that the entropy of any system remains constant or increases over time. In fact, the second law is applicable to the evolution of the entire universe and Clausius stated, “The entropy of the universe tends to a maximum.” Here, we examine the time evolution of information systems, defined as physical systems containing information states within Shannon’s information theory framework. Our observations allow the introduction of the second law of information dynamics (infodynamics). Using two different information systems, digital data storage and a biological RNA genome, we demonstrate that the second law of infodynamics requires the information entropy to remain constant or to decrease over time. This is exactly the opposite to the evolution of the physical entropy, as dictated by the second law of thermodynamics. The surprising result obtained here has massive implications for future developments in genomic research, evolutionary biology, computing, big data, physics, and cosmology.
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Research context

OpenAlex topics: Origins and Evolution of Life · Gene Regulatory Network Analysis · Advanced Thermodynamics and Statistical Mechanics

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Affiliations

School of Mathematics and Physics, University of Portsmouth 1 , PO1 3QL Portsmouth, United Kingdom

Jeremiah Horrocks Institute for Mathematics, Physics and Astronomy, University of Central Lancashire 2 , Preston PR1 2HE, United Kingdom

References (17)

Show source-provided references
1. Bell Syst. Tech. J. · 1948 · 27 · 37910.1002/j.1538-7305.1948.tb01338.x ↗
2. J. Appl. Phys. · 1953 · 24 · 115210.1063/1.1721463 ↗
3. IBM J. Res. Dev. · 1961 · 5 · 18310.1147/rd.53.0183 ↗
4. AIP Adv. · 2019 · 9 · 09520610.1063/1.5123794 ↗
5. Sci. Adv. · 2016 · 2 · e150149210.1126/sciadv.1501492 ↗
6. Nat. Phys. · 2018 · 14 · 56510.1038/s41567-018-0070-7 ↗
7. Nature · 2012 · 483 · 18710.1038/nature10872 ↗
8. Phys. Rev. Lett. · 2014 · 113 · 19060110.1103/physrevlett.113.190601 ↗
9. AIP Adv. · 2020 · 10 · 08501410.1063/5.0019941 ↗
10. M. M. Vopson , “The information content of the universe and the implications for the missing dark matter,” (June 2019).
11. AIP Adv. · 2021 · 11 · 10531710.1063/5.0064475 ↗
12. AIP Adv. · 2022 · 12 · 03531110.1063/5.0087175 ↗
13. Zurek · 1990 · 3
14. J. Appl. Phys. · 2021 · 130 · 16390210.1063/5.0059745 ↗
15. GENIES software free download https://sourceforge.net/projects/information-entropy-spectrum/.
16. Genetic Information Entropy Spectrum (GENIES) User manual, 10 December (2020), https://doi.org/10.13140/RG.2.2.36557.46569.
17. Physica A · 2021 · 584 · 12638310.1016/j.physa.2021.126383 ↗