Best constants in Markov-type inequalities with mixed weights

Best constants in Markov-type inequalities with mixed weights

Markov-type inequalities provide upper bounds on the norm of the (higher order) derivative of an algebraic polynomial in terms of the norm of the polynomial itself. The present thesis considers the cases in which the norms are of the Laguerre, Gegenbauer, or Hermite type, with respective weights cho...

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Bibliographic Details
Main Author: Langenau, Holger
Other Authors: TU Chemnitz, Fakultät für Mathematik
Format: Doctoral Thesis
Language:English
Published: Universitätsbibliothek Chemnitz 2016
Subjects:
Markovungleichung
Laguerregewicht
Gegenbauergewicht
Hermitegewicht
Toeplitzmatrix
Volterraoperator
Schattennorm
Markov inequality
Laguerre weight
Gegenbauer weight
Hermite weight
Toeplitz matrix
Volterra operator
integral operators
Schatten norm
orthogonal polynomials
approximation theory
ddc:510
Integraloperator
orthogonale Polynome
Approximationstheorie
Online Access:http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-200815
http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-200815
http://www.qucosa.de/fileadmin/data/qucosa/documents/20081/Dissertation_Langenau_Holger.pdf
http://www.qucosa.de/fileadmin/data/qucosa/documents/20081/signatur.txt.asc

Internet

http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-200815
http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-200815
http://www.qucosa.de/fileadmin/data/qucosa/documents/20081/Dissertation_Langenau_Holger.pdf
http://www.qucosa.de/fileadmin/data/qucosa/documents/20081/signatur.txt.asc

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