IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v9y2021i24p3271-d704386.html
   My bibliography  Save this article

Approximation Properties of Chebyshev Polynomials in the Legendre Norm

Author

Listed:
  • Cuixia Niu

    (Department of Mathematics, Shanghai University, Shanghai 200444, China
    School of Computer Science and Technology, Shandong Technology and Business University, Yantai 264000, China)

  • Huiqing Liao

    (Department of Mathematics, Shanghai University, Shanghai 200444, China)

  • Heping Ma

    (Department of Mathematics, Shanghai University, Shanghai 200444, China)

  • Hua Wu

    (Department of Mathematics, Shanghai University, Shanghai 200444, China)

Abstract

In this paper, we present some important approximation properties of Chebyshev polynomials in the Legendre norm. We mainly discuss the Chebyshev interpolation operator at the Chebyshev–Gauss–Lobatto points. The cases of single domain and multidomain for both one dimension and multi-dimensions are considered, respectively. The approximation results in Legendre norm rather than in the Chebyshev weighted norm are given, which play a fundamental role in numerical analysis of the Legendre–Chebyshev spectral method. These results are also useful in Clenshaw–Curtis quadrature which is based on sampling the integrand at Chebyshev points.

Suggested Citation

  • Cuixia Niu & Huiqing Liao & Heping Ma & Hua Wu, 2021. "Approximation Properties of Chebyshev Polynomials in the Legendre Norm," Mathematics, MDPI, vol. 9(24), pages 1-10, December.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:24:p:3271-:d:704386
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/9/24/3271/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/9/24/3271/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:9:y:2021:i:24:p:3271-:d:704386. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.