Bulletin 4 (49) 2023

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I. Some features of production angles of particles born in decay reactions in relativistic and nonrelativistic cases

https://doi.org/10.34130/1992-2752_2023_4_4

Pavel A. Makarov – Institute of Physics and Mathematics, Federal Research Centre Komi Science Centre, Ural Branch, RAS, makarovpa@ipm.komisc.ru

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Abstract. On the basis of kinematic approach some features of production angles of particles born in decay processes are studied. Statement and theorems describing the kinematics of decay reactions in the nonrelativistic and relativistic cases are formulated and proved. Corollaries allowing to determine the maximum of production angles of born particles are obtained and analyzed.

Keywords: decay, kinematics, conservation laws, production angles, Lorentz transformations

References

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II. Analysis of data on forest fires in the Komi Republic using Excel and Python

https://doi.org/10.34130/1992-2752_2023_4_29

Nadezhda N. Babikova – Pitirim Sorokin Syktyvkar State University

Nadezhda O. Kotelina – Pitirim Sorokin Syktyvkar State University

Fyodor N. Tentyukov – Pitirim Sorokin Syktyvkar State University

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Abstract. The article presents the results of data analysis on forest fires in the Komi Republic for 2010–2023. The study was carried out using the Excel spreadsheet processor and Python libraries: Scikit-learn, Pandas, Numpy, Openpyxl, Folium.

Keywords: data analysis, Python, k-means clustering, DBSCAN clustering, forest fires

References

  1. Kolerov D. A. Improving methods for monitoring and responding to forest fires in the Komi Republic (using the example of artificial intelligence). OBZH: Osnovy bezopasnosti zhizni [FLS. Fundamentals of Life Safety]. 2022. No 1. Pp. 56–59. (In Russ.)
  2. Volokitina A. V., Sofronova T. M., Korec M. A. Regional Scales of Fire Danger Rating in the Forest: Improved Technique. Sibirskij lesnoj zhurnal [Siberian Journal of Forest Science]. 2017. No 2. Pp. 52–61. DOI: 10.15372/SJFS20170206. (In Russ.)
  3. Geoinformatsionnyy portal Respubliki Komi [Geoinformation portal of the Komi Republic] [Electronic resource]. Available at: https://gis.rkomi.ru/ (accessed: 11.11.2023). (In Russ.)
  4. Kotelina N. O., Matvijchuk B. R. Image clustering by the k-means method. Vestnik Syktyvkarskogo universiteta. Seriya 1: Matematika. Mekhanika. Informatika [Bulletin of the Syktyvkar University. Ser. 1: Math. Mechanics. Informatics]. 2019. No 3 (32). Pp. 101–112. (In Russ.)
  5. Scikit-learn documentation [Electronic resource]. Available at: https://scikit-learn.org/stable/modules/clustering.html#hdbscan (accessed: 11.11.2023).
  6. Anisimov O. A., Borsch S. V., Georgievsky V. Yu. et al. Metody ocenki posledstvij izmeneniya klimata dlya fizicheskih i biologicheskih sistem [Methods for assessing the effects of climate change on physical and biological systems]. Institute of Global Climate and Ecology of the
    Federal Service for Hydrometeorology and Environmental Monitoring and the Russian Academy of Sciences. Moscow: Scientific Research Center of Space Hydrometeorology «Planet», 2012. 512 p. (In Russ.)

For citation: Babikova N. N., Kotelina N. O., Tentyukov F. N. Analysis of data on forest fires in the Komi Republic using Excel and Python. Vestnik Syktyvkarskogo universiteta. Seriya 1: Matematika. Mekhanika. Informatika [Bulletin of Syktyvkar University, Series 1: Mathematics. Mechanics. Informatics], 2023, no 4 (49), pp. 29−46. (In Russ.) https://doi.org/10.34130/1992-2752_2023_4_29

III. Introduction to the theory of mathematical modeling when teaching students

https://doi.org/10.34130/1992-2752_2023_4_47

Andrey V. Yermolenko – Pitirim Sorokin Syktyvkar State University, ea74@list.ru

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Abstract. The article discusses the issues of introducing students to mathematical modeling in junior years. Ways of getting to know each other through individual training, instilling interest through historical and philosophical excursions, and familiarization with mathematical modeling in fundamental disciplines are proposed.

Keywords: numerical methods, training of scientific personnel, Lotka-Voltaire model, mathematical modeling

References

  1. Mikhailovskii E. I. Shkola mekhaniki obolochek akademika Novozhilova [Academic Novozhilov’s school of mechanics of shells]. Syktyvkar: Publishing House of Syktyvkar University, 2005. 172 p. (In Russ.)
  2. Mikhailovskii E.I., Yermolenko A.V., Mironov V.V., Tulubenskaya E.V. Utochnennye nelinejnye uravneniya v neklassicheskih zadachah mekhaniki obolochek : uchebnoe posobie
    [Refined nonlinear equations in non-classical tasks of mechanics of shells]. Syktyvkar: Publishing House of Syktyvkar University, 2009. 141 p. (In Russ.)
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    IV All-Russian Scientific and Methodological Conference: collection of materials]. Syktyvkar: Publishing house of Syktyvkar University, 2014. Pp. 160–167. (In Russ.)
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  5. Zharkova YU. S. Teaching elements of mathematical modeling at a pedagogical university as a means of developing professional competencies. Vestnik Chelyabinskogo gosudarstvennogo
    pedagogicheskogo universiteta [Bulletin of Chelyabinsk State Pedagogical University]. 2014. No 9–1. Pp. 85–93. (In Russ.)
  6. Aslanov R. M., Sushkov V. V. Historical ways of emergence and development of complex analysis. Vestnik Syktyvkarskogo universiteta. Seriya 1: Matematika. Mekhanika. Informatika [Bulletin of Syktyvkar University. Series 1: Mathematics. Mechanics. Informatics]. 2022.
    No 3 (44). Pp. 47–63. (In Russ.)
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    (accessed: 21.11.2023). (In Russ.)
  8. Yermolenko A. V., Osipov K. S. On using Python libraries to calculate plates. Vestnik Syktyvkarskogo universiteta. Seriya 1: Matematika. Mekhanika. Informatika [Bulletin of Syktyvkar University. Series 1: Mathematics. Mechanics. Informatics]. 2019. 4 (33). Pp. 86–95.
    (In Russ.)
  9. Yermolenko A. V., Lotockaya S. R. Numerical solution of the problem “Predator – prey”. Aktual’nye voprosy sovremennoj nauki : Sbornik nauchnyh statej po materialam III Mezhdunarodnoj nauchnoprakticheskoj konferencii (21 noyabrya 2023 g., g. Ufa) : v 3 ch. [Current issues of modern science: Collection of scientific articles based on the materials of the III International Scientific and Practical Conference (November 21, 2023, Ufa) : in 3 parts]. Ufa: Publishing house. Scientific Research Center Bulletin of Science, 2023. Part 1. Pp. 11–16. (In Russ.)
  10. Fokin R. R., Atoyan A. A., Abissova M. A. On motivation to study disciplines from higher education fields of mathematics, computer science, mathematical and information modeling. Sovremennye naukoemkie tekhnologii [Modern high technology]. 2017. No 2. Pp. 172– (In Russ.)
  11. Popov N. I., Adiganova N. A. About one mathematical model of the biological problem “predator – prey”. Vestnik MGPU “Estestvennye nauki” [Bulletin of MSPU “Natural Sciences”]. 2017. No 4 (28). Pp. 119–(In Russ.)

For citation: Yermolenko A. V. Introduction to the theory of mathematical modeling when teaching students. Vestnik Syktyvkarskogo universiteta. Seriya 1: Matematika. Mekhanika. Informatika [Bulletin of Syktyvkar University, Series 1: Mathematics. Mechanics. Informatics],
2023, no 4 (49), pp. 47−58. (In Russ.) https://doi.org/10.34130/1992- 2752_2023_4_47

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IV. Semantic aspects in the methods of math teaching

https://doi.org/10.34130/1992-2752_2023_4_59

Olga A. Sotnikova – Pitirim Sorokin Syktyvkar State University, sotnikovaoa@syktsu.ru

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Abstract. The article features the analysis of methodology of mathematics in relation to the semantics of mathematical matter. The author’s assumptions are based on the need to gain
understanding in learning mathematics. It is justified that semantic aspects of teaching math involve establishing meaningful connections within mathematical matter.

Keywords: understanding mathematics in teaching, meaningful connections, comprehension of mathematical concepts

References

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For citation: Sotnikova O. A. Semantic aspects in the methods of math teaching. Vestnik Syktyvkarskogo universiteta. Seriya 1: Matematika. Mekhanika. Informatika [Bulletin of Syktyvkar University, Series 1: Mathematics. Mechanics. Informatics], 2023, no 4 (49), pp. 59−69. (In Russ.) https://doi.org/10.34130/1992-2752_2023_4_59

V. On the works of the mathematician, defender of Moscow, Korean Shin Deng Yun (1912–1942)

https://doi.org/10.34130/1992-2752_2023_4_70

Vladimir P. Odinets – W.P.Odyniec@mail.ru

Abstract. The article discusses the works on quasi-differential equations and quasi-differential operators in the Hilbert space by Korean Shin Deng Yun (1912–1942), post-graduate student at the Faculty of Mechanics and Mathematics of Moscow State University.

Keywords: quasi-differential equations, quasi-differential operators, Hilbert space, linearly independent Solutions, defense of Moscow

References

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  4. Shin Deng Yun. Solutions of a self-adjoint differential equation u[n] = lu, I(l) 6= 0, belonging to L2(0, ∞). Doklady AN USSR [Reports of the Academy of Sciences of the USSR]. 1938. 18. No 8. Pp. 519–522. (In Russ.)
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