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November 2023, № 4 (240), pages 11-16doi: 10.25198/1814-6457-240-11
Gamova N.A., Girina A.N., Spiridonova E.V. THE PERIODIZATION OF A.N. KOLMOGOROV AS THE BASIS OF IDEAS ABOUT THE HISTORY OF THE DEVELOPMENT OF MATHEMATICAL SCIENCEThe periodization of the development of mathematical science was proposed by A.N. Kolmogorov. He identifies four periods in the development of mathematics. The basis of periodization includes assessment of the content, level of achievements and features of mathematical research: its most important methods, results, ideas. Particular attention is paid to the development of probability theory structured according to Kolmogorov periods. The prerequisites for the formation of probability theory began to appear during the second millennium BC — the first period. During the period of accumulation of knowledge (before 600 BC), the concept of “chance” — the main concept in the science in question – began to develop. Until the third period, the concept was invariably associated with the philosophical category “fate,” that is, a certain predetermined process, which contradicts modern ideas about chance. Probability Theory received its unofficial name precisely from the period of elementary mathematics (before the 15–16th centuries) — the second period. The next period was called by Kolmogorov “Mathematics of Variables” (XVII–XVIII centuries). Since the beginning of the period of modern mathematics (since the 19th century), random variables and the patterns associated with them have come to the fore in probability theory. This is due to the general scientific growth in the 19th century. The main problems that arose by the end of the third period are being solved: all the basic concepts, rules for their application, and theorems are clearly defined. By the beginning of the 20th century — the fourth period–there was a need to formalize the acquired knowledge. Andrei Nikolaevich built a system based on modern and already developed by that time set theory and measure theory. The periodization of the development of mathematical science, proposed by A.N. Kolmogorov, with the rapid progress of mathematical knowledge and the emergence of information technologies in the future may require adjustments to the last stage of development of the history of mathematics or will lead to the emergence of a new stage of periodization.Key words: probability theory, periodization, set theory, measure theory, randomness, probability.
References:
1. Vereshchagin, N.K. and Shen, A.X. (2013) Kolmogorov complexity and algorithmic randomness. ICNMO, 23 p.
2. Magomedov, K.M. (2014) Randomness is a characteristic of objective processes or a phenomenon of human existence? Humanities, socio-economic and social sciences, No. 1, pp. 52-54.
3. Levashkin, S.P. (2020) Kolmogorov and modern computer science. Mathematical education, No. 96, pp.42-54.
4. Kudryavtseva, E. (2023) In probability theory, he made major discoveries every two years. Kommersant Nauka, No.7, 8 p.
5. Reznikov, V.M. (2014) Analysis of conditions for the application of Kolmogorov probability theory. Scientific journal of KubGAU, No. 1,14 p.
6. Sanz, W. (2021) Kolmogorov and the General Theory of Problems. Festschrift for Peter Heister-Schroeder.
7. W.E., Han J. and Jentzen A. (2017) Deep learning-based numerical methods for highdimen-sional parabolic partial differential equations and backward stochastic differential equations. Comm. Math. Stats., №5(4).
8. Gefan, G.D. (2014) Probability theory and mathematical statistics. Omsk Scientific Bulletin, No. 1-2014, 4 p.
9. M. Li, and Vitґanyi, P. (2008) An Introduction to Kolmogorov Complexity and Its Applications, 3rd ed. New York: Springer–Verlag.
10. Rodin, A.V. (2022) Kolmogorov’s calculus of problems and homotopy theory of types. Bulletin of Perm University, 7 p.
11. Pechenkin, A.A. (2018) Two concepts of probability in the science of the twentieth century. Bulletin of the Moscow University, No. 4, 5 p.
12. Davletgareeva, A.R. (2016) Kolmogorov’s contribution to the development of probability theory. NovaInfo, No. 48, pp. 11-13.
13.Shafer, G. and Vovk, V. (2006) The Sources of Kolmogorov’s Grundbegriffe. Statistical Science, Vol. 21, №1, pp. 70–98.
14. Manin, Y.I. and Marcolli, M. (2014) Kolmogorov complexity and the asymptotic bound for error-correcting codes. URL: http://arxiv.org/abs/1203.0653. 3 P.
15. Reznikov, V.M. (2014) Why did Kolmogorov use a dependent requirement to probabilities? 6 p.
16. Marcus Hutter1, Wolfgang Merkle, and Paul M. B. Vitanyi (2008) Kolmogorov Complexity and Applications – Dagstuhl Seminar.
17. Eric Allender (2006) Open Questions in Kolmogorov Complexity and Computational Complexity (Rutgers Univ. – Piscataway, USA).
About this article
Authors: Gamova N.A., Girina A.N., Spiridonova E.V.
Year: 2023
doi: 10.25198/1814-6457-240-11
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Sergey Aleksandrovich MIROSHNIKOV |
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