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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">27529</article-id><article-id pub-id-type="doi">10.22363/2658-4670-2021-29-3-251-259</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">Asymptotically accurate error estimates of exponential convergence for the trapezoidal rule</article-title><trans-title-group xml:lang="ru"><trans-title>Асимптотически точные оценки экспоненциальной сходимости для формулы трапеций</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-0918-9263</contrib-id><name-alternatives><name xml:lang="en"><surname>Belov</surname><given-names>Aleksandr A.</given-names></name><name xml:lang="ru"><surname>Белов</surname><given-names>А. А.</given-names></name></name-alternatives><bio xml:lang="en"><p>Candidate of Physical and Mathematical Sciences, Assistant professor of Department of Applied Probability and Informatics of Peoples’ Friendship University of Russia (RUDN University); Researcher of Faculty of Physics, M.V. Lomonosov Moscow State University</p></bio><email>aa.belov@physics.msu.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/0000-0002-6590-5914</contrib-id><name-alternatives><name xml:lang="en"><surname>Khokhlachev</surname><given-names>Valentin S.</given-names></name><name xml:lang="ru"><surname>Хохлачев</surname><given-names>В. С.</given-names></name></name-alternatives><bio xml:lang="en"><p>Master’s degree student of Faculty of Physics</p></bio><email>valentin.mycroft@yandex.ru</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">M.V. Lomonosov Moscow State University</institution></aff><aff><institution xml:lang="ru">Московский государственный университет им. М.В. Ломоносова</institution></aff></aff-alternatives><aff-alternatives id="aff2"><aff><institution xml:lang="en">Peoples’ Friendship University of Russia (RUDN University)</institution></aff><aff><institution xml:lang="ru">Российский университет дружбы народов</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2021-09-30" publication-format="electronic"><day>30</day><month>09</month><year>2021</year></pub-date><volume>29</volume><issue>3</issue><issue-title xml:lang="en">VOL 29, NO3 (2021)</issue-title><issue-title xml:lang="ru">ТОМ 29, №3 (2021)</issue-title><fpage>251</fpage><lpage>259</lpage><history><date date-type="received" iso-8601-date="2021-09-30"><day>30</day><month>09</month><year>2021</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2021, Belov A.A., Khokhlachev V.S.</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2021, Белов А.А., Хохлачев В.С.</copyright-statement><copyright-year>2021</copyright-year><copyright-holder xml:lang="en">Belov A.A., Khokhlachev V.S.</copyright-holder><copyright-holder xml:lang="ru">Белов А.А., Хохлачев В.С.</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/">http://creativecommons.org/licenses/by/4.0</ali:license_ref></license></permissions><self-uri xlink:href="https://journals.rudn.ru/miph/article/view/27529">https://journals.rudn.ru/miph/article/view/27529</self-uri><abstract xml:lang="en"><p style="text-align: justify;">In many applied problems, efficient calculation of quadratures with high accuracy is required. The examples are: calculation of special functions of mathematical physics, calculation of Fourier coefficients of a given function, Fourier and Laplace transformations, numerical solution of integral equations, solution of boundary value problems for partial differential equations in integral form, etc. For grid calculation of quadratures, the trapezoidal, the mean and the Simpson methods are usually used. Commonly, the error of these methods depends quadratically on the grid step, and a large number of steps are required to obtain good accuracy. However, there are some cases when the error of the trapezoidal method depends on the step value not quadratically, but exponentially. Such cases are integral of a periodic function over the full period and the integral over the entire real axis of a function that decreases rapidly enough at infinity. If the integrand has poles of the first order on the complex plane, then the Trefethen-Weidemann majorant accuracy estimates are valid for such quadratures. In the present paper, new error estimates of exponentially converging quadratures from periodic functions over the full period are constructed. The integrand function can have an arbitrary number of poles of an integer order on the complex plane. If the grid is sufficiently detailed, i.e., it resolves the profile of the integrand function, then the proposed estimates are not majorant, but asymptotically sharp. Extrapolating, i.e., excluding this error from the numerical quadrature, it is possible to calculate the integrals of these classes with the accuracy of rounding errors already on extremely coarse grids containing only ∼ 10 steps.</p></abstract><trans-abstract xml:lang="ru"><p style="text-align: justify;">Во многих прикладных задачах требуется экономичное вычисление квадратур с высокой точностью. Примерами являются: вычисление специальных функций математической физики, расчёт коэффициентов Фурье заданной функции, преобразования Фурье и Лапласа, численное решение интегральных уравнений, решение краевых задач для уравнений в частных производных в интегральной форме и т.д. Для сеточного вычисления квадратур обычно используют методы трапеций, средних и Симпсона. Обычно погрешность этих методов зависит от шага степенным образом, и для получения хорошей точности требуется большое число шагов. Однако существует ряд случаев, когда погрешность метода трапеций зависит от величины шага не квадратично, а экспоненциально. Такими случаями являются интеграл от периодической функции по полному периоду и интеграл по всей числовой прямой от функции, достаточно быстро убывающей на бесконечности. Если подынтегральная функция имеет полюса первого порядка в комплексной плоскости, то для таких квадратур справедливы мажорантные оценки точности Трефетена и Вайдемана. В работе построены новые оценки погрешности экспоненциально сходящихся квадратур от периодических функций по полному периоду. Подынтегральная функция может иметь произвольное число полюсов целого порядка на комплексной плоскости. Если сетка достаточно подробная (разрешает профиль подынтегральной функции), то предлагаемые оценки являются не мажорантными, а асимптотически точными. Экстраполируя, то есть исключая эту погрешность из численной квадратуры, можно вычислять интегралы указанных классов с точностью ошибок округления уже на чрезвычайно грубых сетках, содержащих всего ∼ 10 шагов.</p></trans-abstract><kwd-group xml:lang="en"><kwd>trapezoidal rule</kwd><kwd>exponential convergence</kwd><kwd>error estimate</kwd><kwd>asymptotically sharp estimates</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>формула трапеций</kwd><kwd>экспоненциальная сходимость</kwd><kwd>оценки точности</kwd><kwd>асимптотически точные оценки</kwd></kwd-group><funding-group><funding-statement xml:lang="en">This work was supported by grant MK-3630.2021.1.1.</funding-statement></funding-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>L. N. Trefethen and J. A. C. Weideman, “The exponentially convergent trapezoidal rule,” SIAM Review, vol. 56, no. 3, pp. 385-458, 2014. 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