Computing the Hessenberg matrix associated with a self-similar measure


Autoria(s): Escribano Iglesias, M. del Carmen; Giraldo Carbajo, Antonio; Sastre Rosa, María de la Asunción; Torrano Gimenez, Emilio
Data(s)

01/01/2011

Resumo

We introduce in this paper a method to calculate the Hessenberg matrix of a sum of measures from the Hessenberg matrices of the component measures. Our method extends the spectral techniques used by G. Mantica to calculate the Jacobi matrix associated with a sum of measures from the Jacobi matrices of each of the measures. We apply this method to approximate the Hessenberg matrix associated with a self-similar measure and compare it with the result obtained by a former method for self-similar measures which uses a fixed point theorem for moment matrices. Results are given for a series of classical examples of self-similar measures. Finally, we also apply the method introduced in this paper to some examples of sums of (not self-similar) measures obtaining the exact value of the sections of the Hessenberg matrix.

Formato

application/pdf

Identificador

http://oa.upm.es/12370/

Idioma(s)

eng

Publicador

Facultad de Informática (UPM)

Relação

http://oa.upm.es/12370/2/INVE_MEM_2011_112389.pdf

http://dx.doi.org/10.1016/j.jat.2010.02.008

info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jat.2010.02.008

Direitos

http://creativecommons.org/licenses/by-nc-nd/3.0/es/

info:eu-repo/semantics/openAccess

Fonte

Journal of Approximation Theory, ISSN 0021-9045, 2011-01, Vol. 163, No. 1

Palavras-Chave #Telecomunicaciones #Matemáticas #Informática
Tipo

info:eu-repo/semantics/article

Artículo

PeerReviewed