Preprint Article Version 3 Preserved in Portico This version is not peer-reviewed

Hyperbolic Numbers in Modeling Genetic Phenomena

Version 1 : Received: 26 August 2019 / Approved: 27 August 2019 / Online: 27 August 2019 (11:39:59 CEST)
Version 2 : Received: 18 September 2019 / Approved: 19 September 2019 / Online: 19 September 2019 (11:21:42 CEST)
Version 3 : Received: 14 January 2020 / Approved: 16 January 2020 / Online: 16 January 2020 (12:07:48 CET)
Version 4 : Received: 12 April 2020 / Approved: 13 April 2020 / Online: 13 April 2020 (11:04:05 CEST)

How to cite: Petoukhov, S. Hyperbolic Numbers in Modeling Genetic Phenomena. Preprints 2019, 2019080284. Petoukhov, S. Hyperbolic Numbers in Modeling Genetic Phenomena. Preprints 2019, 2019080284.


The article is devoted to applications of 2-dimensional hyperbolic numbers and their algebraic 2n-dimensional extensions in modeling some genetic and cultural phenomena. Mathematical properties of hyperbolic numbers and of their bisymmetric matrix representations are described in a connection with their application to analyze the following structures: alphabets of DNA nucleobases; inherited phyllotaxis phenomena; Punnett squares in Mendelian genetics; the psychophisical Weber-Fechner law; long literary Russian texts (in their special binary representations). New methods of algebraic analysis of the harmony of musical works are proposed, taking into account the innate predisposition of people to music. The hypothesis is put forward that sets of eigenvectors of matrix representations of basis units of 2n-dimensional hyperbolic numbers play an important role in transmitting biological information and that they can be considered as one of foundations of coding information at different levels of biological organization. In addition, the hypothesis about some analogue of the Weber-Fechner law for sequences of spikes in single nerve fibers is formulated. The proposed algebraic approach is connected with the theme of a grammar of biology and applications of bisymmetric doubly stochastic matrices. Applications of hyperbolic numbers reveal hidden interrelations between structures of different biological and physical phenomena. They lead to new approaches in mathematical modeling genetic phenomena and innate biological structures.


hyperbolic numbers; matrix; eigenvectors; genetics; Punnett squares; Fibonacci numbers; phyllotaxis; music harmony; literary texts; doubly stochastic matrices


Biology and Life Sciences, Biochemistry and Molecular Biology

Comments (1)

Comment 1
Received: 16 January 2020
Commenter: Sergey Petoukhov
Commenter's Conflict of Interests: Author
Comment: New Sections and new results were added in the previous version.
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