Bulletin of Taras Shevchenko National University of Kyiv. Series: Physics and Mathematics https://bphm.knu.ua/index.php/bphm <p>The journal contains results of new research in various fields of mathematics, computer science, mechanics, and physics. For researchers, teachers, postgraduates, engineers and students. </p> en-US <p>Authors who publish with this journal agree to the following terms:</p> <ol> <li class="show">Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a <a href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License</a> that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.</li> <li class="show">Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.</li> <li class="show">Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See <a href="http://opcit.eprints.org/oacitation-biblio.html" target="_new">The Effect of Open Access</a>).</li> </ol> rozora.iryna@gmail.com (Irina Rozora // Ірина Розора) dm_zatula@univ.kiev.ua (Dmytro Zatula) Fri, 09 Dec 2022 18:16:25 +0200 OJS 3.2.1.3 http://blogs.law.harvard.edu/tech/rss 60 Professor G.L. Kulinich (09.12.1938 – 10.02.2022) – prominent scientist and teacher https://bphm.knu.ua/index.php/bphm/article/view/343 <p><em><strong>Pages of the article in the issue</strong></em>: 11 - 21</p> <p><strong><em>Language of the article</em></strong>: Ukrainian</p> O. D. Borysenko, S. V. Kushnirenko, Yu. S. Mishura, M. P. Moklyachuk, M. O. Perestyuk, V. G. Samoilenko, O. M. Stanzhytskyi, I. O. Shevchuk Copyright (c) 2022 O. D. Borysenko, S. V. Kushnirenko, Yu. S. Mishura, M. P. Moklyachuk, M. O. Perestyuk, V. G. Samoilenko, O. M. Stanzhytskyi, I. O. Shevchuk https://creativecommons.org/licenses/by/4.0 https://bphm.knu.ua/index.php/bphm/article/view/343 Fri, 09 Dec 2022 00:00:00 +0200 Invariant surfaces for certain classes of systems of the second-order to stochastic differential equations with jumps https://bphm.knu.ua/index.php/bphm/article/view/344 <p><em>In this paper, we consider the concept of invariant sets of inhomogeneous stochastic differential equations with jumps. For certain classes of systems of the second order of inhomogeneous stochastic differential equations with jumps the necessary and sufficient conditions for the invariance of the corresponding surfaces are established. The obtained results provide opportunities to find the invariant surfaces and conditions of their invariance for the specified classes of stochastic differential equations.</em></p> <p><em><strong>Pages of the article in the issue</strong></em>: 22 - 27</p> <p><em><strong>Language of the article</strong>: Ukrainian</em></p> Yu. S. Mishura, S. V. Kushnirenko, L. V. Voloh Copyright (c) 2022 Yu. S. Mishura, S. V. Kushnirenko, L. V. Voloh https://creativecommons.org/licenses/by/4.0 https://bphm.knu.ua/index.php/bphm/article/view/344 Fri, 09 Dec 2022 00:00:00 +0200 Mathematical model of financial dynamics of an insurance company https://bphm.knu.ua/index.php/bphm/article/view/345 <p><em>This paper is devoted to the construction of a mathematical model of financial dynamics of life insurance company. The methods of calculating insurance amounts, payments, net premium reserve are studied, their generalization is carried out taking into account various types of insurer's expenses for ensuring the activities of the insurance company, the sensitivity of the financial dynamics of the insurance company depending on the input parameters of the model is analyzed. The results of the work are of great practical importance for modeling the work of the insurance company, because the National Bank of Ukraine implements mandatory monitoring of the solvency of the insurance company on the basis of the insurer's reporting data.</em></p> <p><em><strong>Pages of the article in the issue</strong></em>: 28 - 36</p> <p><strong><em>Language of the article</em></strong>: Ukrainian</p> V. P. Zubchenko, A. V. Tkachenko Copyright (c) 2022 V. P. Zubchenko, A. V. Tkachenko https://creativecommons.org/licenses/by/4.0 https://bphm.knu.ua/index.php/bphm/article/view/345 Fri, 09 Dec 2022 00:00:00 +0200 Study of the dynamics of the interest rate swap using machine learning methods https://bphm.knu.ua/index.php/bphm/article/view/346 <p><em>For the European financial system, the interest rate swap is a well-known mechanism to reduce the potential effects of these risks, but it is new to the Ukrainian interbank market. In the second half of 2020, the National Bank of Ukraine and commercial banks held their first interest rate swap auctions. According to this provision, one party offers the other a floating interest rate while the other offers a fixed interest rate based on a conditional amount. Based on the Ukrainian overnight interbank rate index, the latter is computed (UONIA). Future cash flows are discounted at rates determined by the zero coupon yield curve created for hryvnia government bonds. The parties agree on how to calculate the difference in interest payments within the predetermined period of time. The analysis of the fair value of this financial instrument at future points in time is the main concern of mathematical modeling of interest rate swap transactions. Predicting future changes in fair value is particularly crucial when the zero coupon yield curve’s coefficients vary and when there are specific trends in the index of overnight interbank rates. The sensitivity of the specified factors to the interest rate swap’s dynamics was investigated in the study, and a forecast of the instrument’s future dynamics based on the change in important macroeconomic indicators was developed.</em></p> <p><em><strong>Pages of the article in the issue</strong></em>: 37 - 41</p> <p><strong><em>Language of the article</em></strong>: Ukrainian</p> V. P. Zubchenko, P. V. Aleksandrova Copyright (c) 2022 V. P. Zubchenko, P. V. Aleksandrova https://creativecommons.org/licenses/by/4.0 https://bphm.knu.ua/index.php/bphm/article/view/346 Fri, 09 Dec 2022 00:00:00 +0200 Corepresentations of Munn matrix algebras https://bphm.knu.ua/index.php/bphm/article/view/347 <p><em>Let A be an algebra over a field </em><em>K, </em><em>m</em><em> and </em><em>n</em><em> natural numbers and </em><em>P</em> = (<em>p</em><em><sub>j</sub></em><em><sub>i</sub></em>) <em>a fixed </em><em>n</em><em> x m matrix over A. The </em><em>K-vector space of all </em><em>m x n matrices over the algebra A can be made into an algebra with respect to the following operation (o): </em><em>B o C </em>= <em>BPC. This algebra is called the Munn matrix algebra over A with sandwich matrix </em><em>P. The algebras of such type arose as generalizations of semigroup algebras of Rees matrix semigroups which in turn are closely related to simple semigroups.</em></p> <p><em>This article describes the generators and defining relations of Mann matrix algebras with a regular sandwich matrix.</em></p> <p><em><strong>Pages of the article in the issue</strong></em>: 42 - 44</p> <p><strong><em>Language of the article</em></strong>: English</p> V. M. Bondarenko Copyright (c) 2022 V. M. Bondarenko https://creativecommons.org/licenses/by/4.0 https://bphm.knu.ua/index.php/bphm/article/view/347 Fri, 09 Dec 2022 00:00:00 +0200 Method of identification of atomic elements of information space with the help of a unified information space https://bphm.knu.ua/index.php/bphm/article/view/317 <p><em>The article considers a method that allows to identify the input atomic element of the information space by combining information spaces into a unified information space (this is an information model of a complex subject area, which includes information objects, relationships between them, space environment and processes). This method allows you to refine the missing features for the input element to enable it to be added to a unified information space.</em></p> <p><em><strong>Pages of the article in the issue</strong></em>: 47 - 54</p> <p><strong><em>Language of the article</em></strong>: Ukrainian</p> Iryna Zamrii, Viktor Vyshnivskyi Copyright (c) 2022 Iryna Zamrii, Viktor Vyshnivskyi https://creativecommons.org/licenses/by/4.0 https://bphm.knu.ua/index.php/bphm/article/view/317 Fri, 09 Dec 2022 00:00:00 +0200 A intellectual system of analysis of reactions to news based on data from Telegram channels https://bphm.knu.ua/index.php/bphm/article/view/349 <p><em>This paper describes the system of intellectual analysis and prediction of reactions to the news based on data from Telegram channels In particular, the features of collecting and pre-processing datasets for the intelligence systems, the methodology of thematic analysis of the received data, and the model used to obtain predictions of reactions to Telegram messages depending on their text are described We show the work of this system in the example of the Ukrainian news Telegram channel The results are estimations of probability of emojis for the news from the testing dataset Also, we give F-measures for our approaches to precise input data and models.</em></p> <p><em><strong>Pages of the article in the issue</strong></em>: 55 - 61</p> <p><strong><em>Language of the article</em></strong>: Ukrainian</p> O. G. Nakonechnyi, O. A. Kapustian, Iu. M. Shevchuk, M. V. Loseva, O. Yu. Kosukha Copyright (c) 2022 O. G. Nakonechnyi, O. A. Kapustian, Iu. M. Shevchuk, M. V. Loseva, O. Yu. Kosukha https://creativecommons.org/licenses/by/4.0 https://bphm.knu.ua/index.php/bphm/article/view/349 Fri, 09 Dec 2022 00:00:00 +0200