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<article article-type="research-article" dtd-version="1.3" 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" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">vmait</journal-id><journal-title-group><journal-title xml:lang="ru">Computational Mathematics and Information Technologies</journal-title><trans-title-group xml:lang="en"><trans-title>Computational Mathematics and Information Technologies</trans-title></trans-title-group></journal-title-group><issn pub-type="epub">2587-8999</issn><publisher><publisher-name>Донской государственный технический университет</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.23947/2587-8999-2023-7-2-31-39</article-id><article-id custom-type="elpub" pub-id-type="custom">vmait-98</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>Computational Mathematics (Вычислительная математика)</subject></subj-group></article-categories><title-group><article-title>Разностная схема второго порядка для решения класса дифференциальных уравнений дробного порядка</article-title><trans-title-group xml:lang="en"><trans-title>A Second-Order Difference Scheme for Solving a Class of Fractional Differential Equations</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-5727-7540</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Хибиев</surname><given-names>А. Х.</given-names></name><name name-style="western" xml:lang="en"><surname>Khibiev</surname><given-names>A. Kh.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Хибиев Асланбек Хизирович, стажер-исследователь отдела вычислительных методов</p><p>355017, г. Ставрополь, ул. Пушкина, 1</p><p>AuthorID: 812376</p></bio><bio xml:lang="en"><p>Aslanbek Kh Khibiev, Trainee researcher of the Computational Methods Department</p><p>1, Pushkin St., Stavropol, 355017</p><p>AuthorID: 812376</p></bio><email xlink:type="simple">akkhibiev@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-0684-6667</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Алиханов</surname><given-names>A. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Alikhanov</surname><given-names>A. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Алиханов Анатолий Алиевич, проректор по НИР И ИД, доцент, кандидат физико-математических наук</p><p> 355017, г. Ставрополь, ул. Пушкина, 1</p><p>ScopusID: 25031002000</p><p>AuthorID: 528929</p></bio><bio xml:lang="en"><p>Anatoly A Alikhanov, Vice-Rector for Research and Innovation, Associate Professor, Candidate of Physical and Mathematical Sciences</p><p>1, Pushkin St., Stavropol, 355017</p><p>ScopusID: 25031002000</p><p>AuthorID: 528929</p></bio><email xlink:type="simple">aaalikhanov@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Шахбазиасль</surname><given-names>М.</given-names></name><name name-style="western" xml:lang="en"><surname>Shahbaziasl</surname><given-names>M.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Шахбазиасль Мохаммад, научный сотрудник</p><p> 355017, г. Ставрополь, ул. Пушкина, 1</p></bio><bio xml:lang="en"><p>Mohammad Shahbaziasl, Researcher</p><p>1, Pushkin St., Stavropol, 355017</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Чернобровкин</surname><given-names>Р. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Chernobrovkin</surname><given-names>R. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p> Чернобровкин Руслан Алексеевич, лаборант отдела вычислительных методов</p><p>355017, г. Ставрополь, ул. Пушкина, 1</p></bio><bio xml:lang="en"><p>Ruslan A Chernobrovkin, Laboratory Assistant of the Computational Methods Department</p><p>1, Pushkin St., Stavropol, 355017</p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Северо-Кавказский центр математических исследований, Северо-Кавказский федеральный университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>North-Caucasus Center for Mathematical Research, North-Caucasus Federal University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2023</year></pub-date><pub-date pub-type="epub"><day>12</day><month>07</month><year>2023</year></pub-date><volume>7</volume><issue>2</issue><fpage>31</fpage><lpage>39</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Хибиев А.Х., Алиханов A.А., Шахбазиасль М., Чернобровкин Р.А., 2023</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="ru">Хибиев А.Х., Алиханов A.А., Шахбазиасль М., Чернобровкин Р.А.</copyright-holder><copyright-holder xml:lang="en">Khibiev A.K., Alikhanov A.A., Shahbaziasl M., Chernobrovkin R.A.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.cmit-journal.ru/jour/article/view/98">https://www.cmit-journal.ru/jour/article/view/98</self-uri><abstract><sec><title>Введение</title><p>Введение. Повышение точности при аппроксимация дробных интегралов, как известно, является одной из актуальных задач вычислительной математики. Цель настоящего исследования — создание и применение разностного аналога второго порядка для аппроксимации дробного интеграла Римана-Лиувилля. Его применение исследуется при решении некоторых классов дифференциальных уравнений дробного порядка. Разностный аналог предназначен для аппроксимации дробного интеграла с высокой точностью.</p></sec><sec><title>Материалы и методы</title><p>Материалы и методы. В работе рассматривается разностный аналог второго порядка для аппроксимации дробного интеграла Римана-Лиувилля, а также класс дифференциальных уравнений дробного порядка, который содержит дробную производную Капуто по времени порядка, принадлежащего интервалу (1, 2).</p></sec><sec><title>Результаты исследования</title><p>Результаты исследования. Для решения вышеупомянутых уравнений преобразованы исходные дифференциальные уравнения дробного порядка в новую модель, которая включает дробный интеграл Римана-Лиувилля. Это преобразование позволяет эффективно решать задачи с использованием соответствующих численных методов. Затем предложенный разностный аналог второго порядка аппроксимации применяется для решения преобразованной модельной задачи.</p></sec><sec><title>Обсуждение и заключения</title><p>Обсуждение и заключения. Доказана устойчивость предложенной разностной схемы. Получена априорная оценка для рассматриваемой задачи, которая устанавливает единственность и непрерывную зависимость решения от входных данных. Для оценки точности схемы и проверки экспериментального порядка сходимости проведены расчеты для тестовой задачи.</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Introduction</title><p>Introduction. Increasing accuracy in the approximation of fractional integrals, as is known, is one of the urgent tasks of computational mathematics. The purpose of this study is to create and apply a second-order difference analog to approximate the fractional Riemann-Liouville integral. Its application is investigated in solving some classes of fractional differential equations. The difference analog is designed to approximate the fractional integral with high accuracy.</p></sec><sec><title>Materials and Methods</title><p>Materials and Methods. The paper considers a second-order difference analogue for approximating the fractional Riemann-Liouville integral, as well as a class of fractional differential equations, which contains a fractional Caputo derivative in time of the order belonging to the interval (1, 2).</p></sec><sec><title>Results</title><p>Results. To solve the above equations, the original fractional differential equations have been transformed into a new model that includes the Riemann-Liouville fractional integral. This transformation makes it possible to solve problems efficiently using appropriate numerical methods. Then the proposed difference analogue of the second order approximation is applied to solve the transformed model problem.</p><p>Discussion and Conclusions. The stability of the proposed difference scheme is proved. An a priori estimate is obtained for the problem under consideration, which establishes the uniqueness and continuous dependence of the solution on the input data. To evaluate the accuracy of the scheme and verify the experimental order of convergence, calculations for the test problem were carried out.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>дифференциальное уравнение дробного порядка</kwd><kwd>производная Капуто</kwd><kwd>интеграл Римана-Лиувилля</kwd><kwd>разностная схема</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Fractional differential equation</kwd><kwd>Caputo derivative</kwd><kwd>Riemann-Liouville integral</kwd><kwd>Difference scheme</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Исследование выполнено за счет гранта Российского научного фонда № 22-21-00363. https://rscf.ru/project/22-21-00363/</funding-statement><funding-statement xml:lang="en">The study was supported by the Russian Science Foundation grant no. 22-21-00363. https://rscf.ru/project/22-21-00363/</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Asl M.S., Javidi M., Yan Y. High order algorithms for numerical solution of fractional differential equations. Advances in Difference Equations. SpringerOpen. 2021;2021(1):1–23.</mixed-citation><mixed-citation xml:lang="en">Asl MS, Javidi M, Yan Y. High order algorithms for numerical solution of fractional differential equations. Advances in Difference Equations. SpringerOpen. 2021;2021(1):1–23.</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Asl M.S., Javidi M. An improved PC scheme for nonlinear fractional differential equations: Error and stability analysis. Journal of Computational and Applied Mathematics. Elsevier; 2017;324:101–117.</mixed-citation><mixed-citation xml:lang="en">Asl MS, Javidi M. An improved PC scheme for nonlinear fractional differential equations: Error and stability analysis. Journal of Computational and Applied Mathematics. Elsevier; 2017;324:101–117.</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Roohi M., Aghababa P., Haghighi A.R. Switching adaptive controllers to control fractional-order complex systems with unknown structure and input nonlinearities. Complexity. Wiley Online Library; 2015;21(2):211–223.</mixed-citation><mixed-citation xml:lang="en">Roohi M, Aghababa P, Haghighi AR. Switching adaptive controllers to control fractional-order complex systems with unknown structure and input nonlinearities. Complexity. Wiley Online Library; 2015;21(2):211–223.</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Taheri M., et al. A Finite-time Sliding Mode Control Technique for Synchronization Chaotic Fractional-order Laser Systems With Application on Encryption of Color Images. Optik. Elsevier; 2023:170948.</mixed-citation><mixed-citation xml:lang="en">Taheri M, et al. A Finite-time Sliding Mode Control Technique for Synchronization Chaotic Fractional-order Laser Systems With Application on Encryption of Color Images. Optik. Elsevier; 2023:170948.</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Zaslavsky G., Edelman M., Tarasov V. Dynamics of the chain of forced oscillators with long-range interaction: From synchronization to chaos. Chaos: An Interdisciplinary Journal of Nonlinear Science. American Institute of Physics. 2007;17(4):043124.</mixed-citation><mixed-citation xml:lang="en">Zaslavsky G, Edelman M, Tarasov V. Dynamics of the chain of forced oscillators with long-range interaction: From synchronization to chaos. Chaos: An Interdisciplinary Journal of Nonlinear Science. American Institute of Physics. 2007;17(4):043124.</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Alikhanov A.A., Huang C. A high-order L2 type difference scheme for the time-fractional diffusion equation. Applied Mathematics and Computation. Elsevier; 2021;411:126545.</mixed-citation><mixed-citation xml:lang="en">Alikhanov AA, Huang C. A high-order L2 type difference scheme for the time-fractional diffusion equation. Applied Mathematics and Computation. Elsevier; 2021;411:126545.</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Asl M.S., Javidi M. Novel algorithms to estimate nonlinear FDEs: applied to fractional order nutrient-phytoplankton- zooplankton system. Journal of Computational and Applied Mathematics. Elsevier; 2018;339:193–207.</mixed-citation><mixed-citation xml:lang="en">Asl MS, Javidi M. Novel algorithms to estimate nonlinear FDEs: applied to fractional order nutrient-phytoplankton- zooplankton system. Journal of Computational and Applied Mathematics. Elsevier; 2018;339:193–207.</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Kumar V., Kumari N. Stability and bifurcation analysis of fractional-order delayed prey–predator system and the effect of diffusion. International Journal of Bifurcation and Chaos. World Scientific; 2022;32(01): 2250002.</mixed-citation><mixed-citation xml:lang="en">Kumar V, Kumari N. Stability and bifurcation analysis of fractional-order delayed prey–predator system and the effect of diffusion. International Journal of Bifurcation and Chaos. World Scientific; 2022;32(01): 2250002.</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Deng W. Short memory principle and a predictor–corrector approach for fractional differential equations. Journal of Computational and Applied Mathematics. Elsevier; 2007;206(1):174–188.</mixed-citation><mixed-citation xml:lang="en">Deng W. Short memory principle and a predictor–corrector approach for fractional differential equations. Journal of Computational and Applied Mathematics. Elsevier; 2007;206(1):174–188.</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Xie J., Deng D., Zheng H. Fourth-order difference solvers for nonlinear delayed fractional sub-diffusion equations with variable coefficients. International Journal of Modelling and Simulation. Taylor &amp; Francis; 2017;37(4):241–251.</mixed-citation><mixed-citation xml:lang="en">Xie J, Deng D, Zheng H. Fourth-order difference solvers for nonlinear delayed fractional sub-diffusion equations with variable coefficients. International Journal of Modelling and Simulation. Taylor &amp; Francis; 2017;37(4):241–251.</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Li C., He C. Fractional-order diffusion coupled with integer-order diffusion for multiplicative noise removal. Computers and Mathematics with Applications. Elsevier; 2023;136:34–43.</mixed-citation><mixed-citation xml:lang="en">Li C, He C. Fractional-order diffusion coupled with integer-order diffusion for multiplicative noise removal. Computers and Mathematics with Applications. Elsevier; 2023;136:34–43.</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Xu Y., et al. A novel meshless method based on RBF for solving variable-order time fractional advection-diffusionreaction equation in linear or nonlinear systems. Computers and Mathematics with Applications. Elsevier; 2023;142:107–120.</mixed-citation><mixed-citation xml:lang="en">Xu Y, et al. A novel meshless method based on RBF for solving variable-order time fractional advection-diffusionreaction equation in linear or nonlinear systems. Computers and Mathematics with Applications. Elsevier; 2023;142:107–120.</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Khibiev A., Alikhanov A. A., Huang C. A second-order difference scheme for generalized time-fractional diffusion equation with smooth solutions. Computational Methods in Applied Mathematics. 2023.</mixed-citation><mixed-citation xml:lang="en">Khibiev A, Alikhanov AA, Huang C. A second-order difference scheme for generalized time-fractional diffusion equation with smooth solutions. Computational Methods in Applied Mathematics. 2023.</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Yang J., et al. Numerical solution of fractional diffusion-wave equation based on fractional multistep method. Applied Mathematical Modelling. Elsevier; 2014;38(14):3652–3661.</mixed-citation><mixed-citation xml:lang="en">Yang J, et al. Numerical solution of fractional diffusion-wave equation based on fractional multistep method. Applied Mathematical Modelling. Elsevier; 2014;38(14):3652–3661.</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Sun Z., Wu X. A fully discrete difference scheme for a diffusion-wave system. Applied Numerical Mathematics. Elsevier; 2006;56(2):193–209.</mixed-citation><mixed-citation xml:lang="en">Sun Z, Wu X. A fully discrete difference scheme for a diffusion-wave system. Applied Numerical Mathematics. Elsevier; 2006;56(2):193–209.</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Huang J., et al. Alternating direction implicit schemes for the two-dimensional time fractional nonlinear superdiffusion equations. Journal of Computational Mathematics. 2019;37(3).</mixed-citation><mixed-citation xml:lang="en">Huang J, et al. Alternating direction implicit schemes for the two-dimensional time fractional nonlinear superdiffusion equations. Journal of Computational Mathematics. 2019;37(3).</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Asl M.S., Javidi M., Ahmad B. New predictor-corrector approach for nonlinear fractional differential equations: error analysis and stability. Journal of Applied Analysis and Computation. 2019;9(4):1527–1557.</mixed-citation><mixed-citation xml:lang="en">Asl MS, Javidi M, Ahmad B. New predictor-corrector approach for nonlinear fractional differential equations: error analysis and stability. Journal of Applied Analysis and Computation. 2019;9(4):1527–1557.</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Asl M.S., Javidi M. Numerical evaluation of order six for fractional differential equations: stability and convergency. Bulletin of the Belgian Mathematical Society-Simon Stevin. The Belgian Mathematical Society; 2019;26(2):203–221.</mixed-citation><mixed-citation xml:lang="en">Asl MS, Javidi M. Numerical evaluation of order six for fractional differential equations: stability and convergency. Bulletin of the Belgian Mathematical Society-Simon Stevin. The Belgian Mathematical Society; 2019;26(2):203–221.</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Vabishchevich P.N. Numerical solution of the Cauchy problem for Volterra integrodifferential equations with difference kernels. Applied Numerical Mathematics. Elsevier; 2022;174:177–190.</mixed-citation><mixed-citation xml:lang="en">Vabishchevich PN. Numerical solution of the Cauchy problem for Volterra integrodifferential equations with difference kernels. Applied Numerical Mathematics. Elsevier; 2022;174:177–190.</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">McLean W.V. Thomée Numerical solution of an evolution equation with a positive-type memory term. The ANZIAM Journal. Cambridge University Press; 1993;35(1):23–70.</mixed-citation><mixed-citation xml:lang="en">McLean WV. Thomée Numerical solution of an evolution equation with a positive-type memory term. The ANZIAM Journal. Cambridge University Press; 1993;35(1):23–70.</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
