Preview

Herald of Dagestan State Technical University. Technical Sciences

Advanced search

A. Renyi's Entropy as a generalization of Basic Processes

https://doi.org/10.21822/2073-6185-2026-53-1-56-63

Abstract

Objective. The aim of the study is to substantiate the possibility of applying A. Renyi's entropy to the problem of analyzing additive and multiplicative growth processes related to complex technical systems.

Method. The Renyi model is proposed, which includes a generalization of the properties inherent in the elements of a complex system and is necessary for the analysis of growth processes. The model includes mathematical expressions for calculating the probabilities of additive and multiplicative growth processes, as well as a generalized equation in a universal form that links both types of growth.

Result. The analysis shows the importance of the obtained values of Renyi entropy depending on the parameter a of the model associated with the growth processes. The performed calculations of the Regnal entropy showed that changing the parameter a makes it possible to expand the range of applied uniformity measures. If the parameter value is assumed to be close to one, therefore, sensitive processes are considered, characterized by subtle differences in the probability distributions of the states of objects. By increasing a, the sensitivity of the estimate decreases, making it possible to identify the largest deviations in the probability distribution. Variation of parameter a is possible provided that different sensitivity levels are selected and is an integral part of changing the structure of the studied set of objects.

Conclusion. The applicability of Shannon entropy is limited to additive processes; Renyi entropy is applicable to the study of complex systems and processes. It is an effective tool for analyzing growth processes, endowed with flexibility in applying sensitivity characteristics in assessing growth changes. By changing the parameter a, it is possible to estimate the heterogeneity of the probability distribution on a set of states of objects with different levels of detail. In particular, the use of The use of Renyi entropy is effective for analyzing the state of technical, economic, and biological systems.

About the Authors

A. S. Dulesov
Katanov State University, Institute of Physics and Technology
Russian Federation

Alexander S. Dulesov, Dr. Sci. (Eng.), Prof., Prof., Department of Digital Technologies and Design,

92/1 Lenin St., Abakan 655017



D. B. Bayyr
Katanov State University, Institute of Physics and Technology
Russian Federation

Dolaan B. Bayyr, Postgraduate Student, Department of Digital Technologies and Design,

92/1 Lenin St., Abakan 655017



I. A. Bychkova
Katanov State University, Institute of Physics and Technology
Russian Federation

Irina A. Bychkova, Master's Student, Department of Digital Technologies and Design,

92/1 Lenin St., Abakan 655017



References

1. Robson B., Ochoa-Vargas G. Searching for the Principles of Less Artificial AI. Informatics in Medicine Unlocked, 2022, p. 101018. URL: https://www.sciencedirect.com/science/article/pii/S235291482200005X (date of request: 11/23/2022)

2. Vopson M.M. Mass-Energy-Information Equivalence Principle. AIP Advances, 2019;9(9) September pp. 095206.doi:10.1063/1.5123794. http://dx.doi.org/10.1063/1.5123794 (date of request: 11/22/2022)

3. StudFiles. Properties of large systems. An electronic resource. Access: https://studfile.net/preview/7400234/page:3/. (date of request: 03/25/2025)

4. Bekman I.N. Ideas of order and disorder in physical chemistry. Materials of the seminar "Physical Chemistry: Quo vadis?"https://profbeckman.narod.ru/poryadok/Doclad_poryadok.pdf(date of request: 04/05/2025)

5. Korolev O.L., Kussyi M.Yu., Sigal A.V. The use of entropy in modeling decision-making processes in economics: a monograph / edited by A.V. Sigal. Moscow: INFRA-M, 2022;202 p. ISBN 978-5-16-018651-8. DOI: 10.12737/1865188.

6. Dionisdimetor. The truth and myths about entropy. How does the second law of thermodynamics work? Habr, January 20, 2024, 13:00. URL: https://habr.com/ru/articles/787724 (accessed: 04/10/2025)

7. Shannon C.E. Mathematical Theory of Communication. Bell System Tech. Journal.1948;27(3):379-423.

8. Gibbs J.V. Thermodynamics. Statistical mechanics. Moscow: Nauka Publ., 1982. 584p.

9. Khinchin A.Ya. The concept of entropy in probability theory. UMN, No. 3(55), 1953, pp. 3-20.

10. Dulesov A.S., Karandeev D.Y., Konovalov A.A., Bayyr D.B., Dulesova N.V. Probability and Information Entropy in the Analysis of Reliability of Technical Systems. SMARTGREENS 2024 International Conference Proceedings. URL: https://doi.org/10.63550/iceip.2025.1.1.026 (date of access: 04/12/2025)

11. P. Bak. How Nature Works: The Science of Self-Organized Criticality. Springer-Verlag, New York, 1996.

12. Alfrped Rényi. On Measures of Entropy and Information. Proc. Fourth Berkeley Symposium on Mathematical Statistics and Probability, University of California Press, 1961, Vol. I, pp. 547–561. URL: https://projecteuclid.org/euclid.bsmsp/1200512181 (accessed: 06/17/2023)

13. Alfred Rényi. Probability Theory. North Holland Publishing Company, Amsterdam-London, 1970.

14. Beck C., Schlögl F.Thermodynamics of Chaotic Systems. Cambridge University Press, Cambridge, UK, 1993.

15. Klimentovich Yu.L. Statistical theory of open systems. Janus LLP, Moscow, 1995.

16. Hartley R.V.L. Transmission of Information. Bell System Technical Journal, 1928; 7: 535-63.

17. Grachev M.I. The model of automation of university management processes. Herald of Dagestan State Technical University. Technical Sciences. 2024;51(4):60-70. (In Russ.) https://doi.org/10.21822/2073-6185-2024-51-4-60-70

18. Kodatsky N.M., Revyakina E.A., Gazizov A.R. System analysis and information processing to solve the problem of detecting breakdowns of computer information storage. Herald of Dagestan State Technical University. Technical Sciences. 2024;51(4):87-98.(In Russ) doi.org/10.21822/2073-6185-2024-51-4-87-98

19. Drovnikova I.G., Etepnev A.S., Rogozin E.A. Main Types of Vulnerabilities and the Relationship of Security Components in Justifying Indicators of Information Protection System Reliability Against Unauthorized Access in Automated Systems. Instruments and Systems: Monitoring, Control, and Diagnostics. 2019; 3: 59–64. – EDN VWGOHY. (In Russ)

20. Efimov A.O. Causes, classification, and criticality of information system software vulnerabilities. Herald of Dagestan State Technical University. Technical Sciences. 2025;52(2):98-106. (In Russ.) https://doi.org/10.21822/2073-6185-2025-52-2-98-106


Review

For citations:


Dulesov A.S., Bayyr D.B., Bychkova I.A. A. Renyi's Entropy as a generalization of Basic Processes. Herald of Dagestan State Technical University. Technical Sciences. 2026;53(1):56-63. (In Russ.) https://doi.org/10.21822/2073-6185-2026-53-1-56-63

Views: 119

JATS XML


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2073-6185 (Print)
ISSN 2542-095X (Online)