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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">Discrete and Continuous Models and Applied Computational Science</journal-id><journal-title-group><journal-title xml:lang="en">Discrete and Continuous Models and Applied Computational Science</journal-title><trans-title-group xml:lang="ru"><trans-title>Discrete and Continuous Models and Applied Computational Science</trans-title></trans-title-group></journal-title-group><issn publication-format="print">2658-4670</issn><issn publication-format="electronic">2658-7149</issn><publisher><publisher-name xml:lang="en">Peoples' Friendship University of Russia named after Patrice Lumumba (RUDN University)</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">40101</article-id><article-id pub-id-type="doi">10.22363/2658-4670-2024-32-1-74-85</article-id><article-id pub-id-type="edn">BUEBFE</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>Articles</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>Статьи</subject></subj-group><subj-group subj-group-type="article-type"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">Application of the Chebyshev collocation method to solve boundary value problems of heat conduction</article-title><trans-title-group xml:lang="ru"><trans-title>Применение метода коллокации Чебышева для решения граничных задач теплопроводности</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-3645-1060</contrib-id><name-alternatives><name xml:lang="en"><surname>Lovetskiy</surname><given-names>Konstantin P.</given-names></name><name xml:lang="ru"><surname>Ловецкий</surname><given-names>К. П.</given-names></name></name-alternatives><bio xml:lang="en"><p>Candidate of Sciences in Physics and Mathematics, Associate Professor of Department of Computational Mathematics and Artificial Intelligence</p></bio><email>lovetskiy-kp@rudn.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0004-1159-4745</contrib-id><name-alternatives><name xml:lang="en"><surname>Sergeev</surname><given-names>Stepan V.</given-names></name><name xml:lang="ru"><surname>Сергеев</surname><given-names>С. В.</given-names></name></name-alternatives><bio xml:lang="en"><p>PhD student of Department of Computational Mathematics and Artificial Intelligence</p></bio><email>1142220124@rudn.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-0877-7063</contrib-id><name-alternatives><name xml:lang="en"><surname>Kulyabov</surname><given-names>Dmitry S.</given-names></name><name xml:lang="ru"><surname>Кулябов</surname><given-names>Д. С.</given-names></name></name-alternatives><bio xml:lang="en"><p>Professor, Doctor of Sciences in Physics and Mathematics, Professor at the Department of Probability Theory and Cyber Security of Peoples’ Friendship University of Russia named after Patrice Lumumba (RUDN University); Senior Researcher of Laboratory of Information Technologies, Joint Institute for Nuclear Research</p></bio><email>kulyabov-ds@rudn.ru</email><xref ref-type="aff" rid="aff1"/><xref ref-type="aff" rid="aff2"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-1856-4643</contrib-id><name-alternatives><name xml:lang="en"><surname>Sevastianov</surname><given-names>Leonid A.</given-names></name><name xml:lang="ru"><surname>Севастьянов</surname><given-names>Л. А.</given-names></name></name-alternatives><bio xml:lang="en"><p>Professor, Doctor of Sciences in Physics and Mathematics, Professor at the Department of Computational Mathematics and Artificial Intelligence of Peoples’ Friendship University of Russia named after Patrice Lumumba (RUDN University), Leading Researcher of Bogoliubov Laboratory of Theoretical Physics, Joint Institute for Nuclear Research</p></bio><email>sevastianov-la@rudn.ru</email><xref ref-type="aff" rid="aff1"/><xref ref-type="aff" rid="aff2"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">RUDN University</institution></aff><aff><institution xml:lang="ru">Российский университет дружбы народов</institution></aff></aff-alternatives><aff-alternatives id="aff2"><aff><institution xml:lang="en">Joint Institute for Nuclear Research</institution></aff><aff><institution xml:lang="ru">Объединённый институт ядерных исследований</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2024-06-30" publication-format="electronic"><day>30</day><month>06</month><year>2024</year></pub-date><volume>32</volume><issue>1</issue><issue-title xml:lang="en">VOL 32, NO1 (2024)</issue-title><issue-title xml:lang="ru">ТОМ 32, №1 (2024)</issue-title><fpage>74</fpage><lpage>85</lpage><history><date date-type="received" iso-8601-date="2024-07-19"><day>19</day><month>07</month><year>2024</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2024, Lovetskiy K.P., Sergeev S.V., Kulyabov D.S., Sevastianov L.A.</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2024, Ловецкий К.П., Сергеев С.В., Кулябов Д.С., Севастьянов Л.А.</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="en">Lovetskiy K.P., Sergeev S.V., Kulyabov D.S., Sevastianov L.A.</copyright-holder><copyright-holder xml:lang="ru">Ловецкий К.П., Сергеев С.В., Кулябов Д.С., Севастьянов Л.А.</copyright-holder><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://creativecommons.org/licenses/by-nc/4.0</ali:license_ref></license></permissions><self-uri xlink:href="https://journals.rudn.ru/miph/article/view/40101">https://journals.rudn.ru/miph/article/view/40101</self-uri><abstract xml:lang="en"><p>For one-dimensional inhomogeneous (with respect to the spatial variable) linear parabolic equations, a combined approach is used, dividing the original problem into two subproblems. The first of them is an inhomogeneous one-dimensional Poisson problem with Dirichlet-Robin boundary conditions, the search for a solution of which is based on the Chebyshev collocation method. The method was developed based on previously published algorithms for solving ordinary differential equations, in which the solution is sought in the form of an expansion in Chebyshev polynomials of the 1st kind on Gauss-Lobatto grids, which allows the use of discrete orthogonality of polynomials. This approach turns out to be very economical and stable compared to traditional methods, which often lead to the solution of poorly defined systems of linear algebraic equations. In the described approach, the successful use of integration matrices allows complete elimination of the need to deal with ill-conditioned matrices. The second, homogeneous problem of thermal conductivity is solved by the method of separation of variables. In this case, finding the expansion coefficients of the desired solution in the complete set of solutions to the corresponding Sturm-Liouville problem is reduced to calculating integrals of known functions. A simple technique for constructing Chebyshev interpolants of integrands allows to calculate the integrals by summing interpolation coefficients.</p></abstract><trans-abstract xml:lang="ru"><p>Для одномерных неоднородных (по пространственной переменной) линейных параболических уравнений используется комбинированный подход, разбивающий исходную задачу на две подзадачи. Первая из них - неоднородная одномерная задача Пуассона с граничными условиями Дирихле-Робена, поиск решения которой основан на методе чебышевской коллокации. Метод разработан на основе ранее опубликованных алгоритмов решения обыкновенных дифференциальных уравнений, в которых решение ищется в виде разложения по полиномам Чебышева 1-го рода на сетках Гаусса-Лобатто, что позволяет использовать дискретную ортогональность полиномов. Такой подход оказывается весьма экономичным и стабильным по сравнению с традиционными методами, приводящими к решению часто плохо определенных систем линейных алгебраических уравнений. В описываемом подходе удачное применение матриц интегрирования позволяет вообще избавиться от необходимости работы с плохо обусловленными матрицами. Вторая, однородная задача теплопроводности решается методом разделения переменных. При этом отыскание коэффициентов разложения искомого решения по полному набору решений соответствующей задачи Штурма-Лиувилля сводится к вычислению интегралов от известных функций. Простая методика построения чебышевских интерполянтов подынтегральных функций позволяет вычислять интегралы суммированием интерполяционных коэффициентов.</p></trans-abstract><kwd-group xml:lang="en"><kwd>initial boundary problems</kwd><kwd>pseudo spectral collocation method</kwd><kwd>Chebyshev polynomials</kwd><kwd>Gauss-Lobatto sets</kwd><kwd>numerical stability</kwd><kwd>separation of variables</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>начально-краевые задачи</kwd><kwd>псевдоспектральный метод коллокации</kwd><kwd>полиномы Чебышева</kwd><kwd>множества Гаусса-Лобатто</kwd><kwd>численная устойчивость</kwd><kwd>разделение переменных</kwd></kwd-group><funding-group><funding-statement xml:lang="en">This research was funded by the RUDN University Scientific Projects Grant System, project No 021934-0-000 (Konstantin P. Lovetskiy). This research was supported by the RUDN University Strategic Academic Leadership Program (Dmitry S.&#13;
&#13;
Kulyabov). The work of Leonid A. Sevastianov was supported by the Russian Science Foundation (grant No. 20-11-20257).</funding-statement></funding-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Boyd, J. P. Chebyshev and Fourier spectral methods second (Dover Books on Mathematics, 2013).</mixed-citation></ref><ref id="B2"><label>2.</label><mixed-citation>Mason, J. C. &amp; Handscomb, D. C. Chebyshev polynomials doi:10.1201/9781420036114 (Chapman and Hall/CRC Press, New York, 2002).</mixed-citation></ref><ref id="B3"><label>3.</label><mixed-citation>Greengard, L. Spectral integration and two-point boundary value problems. SIAM Journal on Numerical Analysis 28, 1071-1080. doi:10.1137/0728057 (1991).</mixed-citation></ref><ref id="B4"><label>4.</label><mixed-citation>Shen, J., Tang, T. &amp; L.-L., W. Spectral Methods doi:10.1007/978-3-540-71041-7 (Springer Berlin Heidelberg, Berlin, Heidelberg, 2011).</mixed-citation></ref><ref id="B5"><label>5.</label><mixed-citation>Fornberg, B. A practical guide to pseudospectral methods (Cambridge University Press, New York, 1996).</mixed-citation></ref><ref id="B6"><label>6.</label><mixed-citation>Sevastianov, L. A., Lovetskiy, K. P. &amp; Kulyabov, D. S. Multistage collocation pseudo-spectral method for the solution of the first order linear ODE in 2022 VIII International Conference on Information Technology and Nanotechnology (ITNT) (2022), 1-6. doi:10.1109/ITNT55410.2022.9848731.</mixed-citation></ref><ref id="B7"><label>7.</label><mixed-citation>Sevastianov, L. A., Lovetskiy, K. P. &amp; Kulyabov, D. S. A new approach to the formation of systems of linear algebraic equations for solving ordinary differential equations by the collocation method. Izvestiya of Saratov University. Mathematics. Mechanics. Informatics 23. in Russian, 36-47 doi:10.18500/1816-9791-2023-23-1-36-47 (2023).</mixed-citation></ref><ref id="B8"><label>8.</label><mixed-citation>Lovetskiy, K. P., Kulyabov, D. S. &amp; Hissein, W. Multistage pseudo-spectral method (method of collocations) for the approximate solution of an ordinary differential equation of the first order. Discrete and Continuous Models and Applied Computational Science 30, 127-138. doi:10.22363/2658-4670-2022-30-2-127-138 (2022).</mixed-citation></ref><ref id="B9"><label>9.</label><mixed-citation>Sevastianov, L. A., Lovetskiy, K. P. &amp; Kulyabov, D. S. Numerical integrating of highly oscillating functions: effective stable algorithms in case of linear phase 2021. doi:10.48550/arXiv.2104. 03653.</mixed-citation></ref><ref id="B10"><label>10.</label><mixed-citation>Lovetskiy, K. P., Kulyabov, D. S., Sevastianov, L. A. &amp; Sergeev, S. V. Chebyshev collocation method for solving second order ODEs using integration matrices. Discrete and Continuous Models and Applied Computational Science 31, 150-163. doi:10.22363/2658-4670-2023-31- 2-150-163 (2023).</mixed-citation></ref><ref id="B11"><label>11.</label><mixed-citation>Lienhard, J. H. I. &amp; Lienhard, J. H. V. A Heat Transfer Textbook Fifth Edition 2020.</mixed-citation></ref><ref id="B12"><label>12.</label><mixed-citation>Tikhonov, A. N. &amp; Samarskii, A. A. Equations of Mathematical Physics [Uravneniya matematicheskoy fiziki] in Russian (Nauka, M., 2004).</mixed-citation></ref><ref id="B13"><label>13.</label><mixed-citation>Sevastianov, L. A., Lovetskiy, K. P. &amp; Kulyabov, D. S. A new approach to the formation of systems of linear algebraic equations for solving ordinary differential equations by the collocation method. Izvestiya of Saratov University. Mathematics. Mechanics. Informatics 23, 36-47. doi:10. 18500/1816-9791-2023-23-1-36-47 (2023).</mixed-citation></ref><ref id="B14"><label>14.</label><mixed-citation>Stewart, G. W. Afternotes on Numerical Analysis (Society for Industrial and Applied Mathematics, USA, 1996).</mixed-citation></ref><ref id="B15"><label>15.</label><mixed-citation>Amiraslani, A., Corless, R. M. &amp; Gunasingam, M. Differentiation matrices for univariate polynomials. Numerical Algorithms 83, 1-31. doi:10.1007/s11075-019-00668-z (2020).</mixed-citation></ref><ref id="B16"><label>16.</label><mixed-citation>Rezaei, F., Hadizadeh, M., Corless, R. &amp; Amiraslani, A. Structural analysis of matrix integration operators in polynomial bases. Banach Journal of Mathematical Analysis 16, 5. doi:10.1007/ s43037-021-00156-4 (2022).</mixed-citation></ref><ref id="B17"><label>17.</label><mixed-citation>Boyce, W. E. &amp; DiPrima, R. C. Elementary Differential Equations and Boundary Value Problems 9th Edition (Wiley, New York, 2009).</mixed-citation></ref><ref id="B18"><label>18.</label><mixed-citation>Planitz, M. et al. Numerical recipes: the art of scientific computing 3rd Edition (Cambridge University Press, New York, 2007).</mixed-citation></ref></ref-list></back></article>
