Research article Special Issues

New reproducing kernel functions in the reproducing kernel Sobolev spaces

  • Received: 04 October 2019 Accepted: 29 November 2019 Published: 06 December 2019
  • MSC : 46E35, 46E22

  • In this paper we construct some new reproducing kernel functions in the reproducing kernel Sobolev space. These functions are new in the literature. We can solve many problems by these functions in the reproducing kernel Sobolev spaces.

    Citation: Ali Akgül, Esra Karatas Akgül, Sahin Korhan. New reproducing kernel functions in the reproducing kernel Sobolev spaces[J]. AIMS Mathematics, 2020, 5(1): 482-496. doi: 10.3934/math.2020032

    Related Papers:

  • In this paper we construct some new reproducing kernel functions in the reproducing kernel Sobolev space. These functions are new in the literature. We can solve many problems by these functions in the reproducing kernel Sobolev spaces.


    加载中


    [1] E. F. Gregory, Y. Qi, Reproducing kernels of Sobolev spaces via a green kernel approach with differential operators and boundary operators, Adv. Comput. Math., 38 (2013), 891-921. doi: 10.1007/s10444-011-9264-6
    [2] M. G. Sakar, Iterative reproducing kernel Hilbert spaces method for Riccati differential equations, J. Comput. Appl. Math., 309 (2017), 163-174. doi: 10.1016/j.cam.2016.06.029
    [3] M. Cui, Y. Lin, Nonlinear Numerical Analysis in the Reproducing Kernel Space, Nova Science Publishers Inc, New York, 2009.
    [4] S. Zaremba, Sur le calcul numérique des fonctions demandées dan le probléme de dirichlet et le probleme hydrodynamique, Bulletin International l'Académia des Sciences de Cracovie, 68 (1908), 125-195.
    [5] S. Bergman, The Kernel Function and Conformal Mapping, American Mathematical Society, New York, 1950.
    [6] M. Zorzi, A. Chiuso, The harmonic analysis of kernel functions, Automatica, 94 (2018), 125-137. doi: 10.1016/j.automatica.2018.04.015
    [7] M. Zorzi, A. Chiuso, Sparse plus low rank network identification: A nonparametric approach, Automatica, 76 (2017), 355-366. doi: 10.1016/j.automatica.2016.08.014
    [8] M. Zorzi, Empirical Bayesian learning in AR graphical models, Automatica, 109 (2019), 108516.
    [9] E. Novak, Reproducing Kernels of Sobolev Spaces on Rd and Applications to Embedding Constants and Tractability, Arxiv.
    [10] O. A. Arqub, Fitted reproducing kernel Hilbert space method for the solutions of some certain classes of time-fractional partial differential equations subject to initial and Neumann boundary conditions, Comput. Math. Appl., 73 (2017), 1243-1261. doi: 10.1016/j.camwa.2016.11.032
    [11] S. Momani, O. A. Arqub, T. Hayat, et al. A computational method for solving periodic boundary value problems for integro-differential equations of Fredholm-Voltera type, Appl. Math. Comput., 240 (2014), 229-239.
    [12] B. Azarnavid, K. Parand, An iterative reproducing kernel method in Hilbert space for the multipoint boundary value problems, J. Comput. Appl. Math., 328 (2018), 151-163. doi: 10.1016/j.cam.2017.07.015
    [13] A. Akgül, New reproducing kernel functions, Math. Probl. Eng., 2015 (2015), 1-10.
    [14] A. Akgül, On solutions of variable-order fractional differential equations, An International Journal of Optimization and Control: Theories & Applications (IJOCTA), 7 (2017), 112-116.
    [15] A. Akgül, E. K. Akgül, D. Baleanu, Numerical solutions of fractional differential equations of Lane-Emden type by an accurate technique, Adv. Differ. Equ., 2015 (2015), 220.
  • Reader Comments
  • © 2020 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(4261) PDF downloads(570) Cited by(5)

Article outline

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog