Hostname: page-component-586b7cd67f-2brh9 Total loading time: 0 Render date: 2024-11-30T00:50:06.265Z Has data issue: false hasContentIssue false

The point density measure in the quantization of self-similar probabilities

Published online by Cambridge University Press:  26 April 2005

SIEGFRIED GRAF
Affiliation:
Universität Passau, Fakultät für Mathematik und Informatik, Innstraße 33, 94032 Passau, Germany. e-mail: [email protected]
HARALD LUSCHGY
Affiliation:
Universität Trier, FB IV Mathematik/Stochastik, 54286 Trier, Germany. e-mail: [email protected]

Abstract

Let $P$ be the self-similar probability corresponding to an iterated function system of contracting similitudes $S_1,\ldots,S_N$ with probabilities $p_1,\ldots,p_N$ and contraction constants $s_1,\ldots, s_N$. Let $D_r$ be the quantization dimension of $P$ of order $r\in(0,+\infty)$, and let $P_r$ be the self-similar probability corresponding to $S_1,\ldots,S_N$ with probabilities $(p_1s_1^r)^{D_r/(r+D_r)},\ldots,(p_Ns_N^r)^{D_r/(r+D_r)}$. It is shown that the quanitzation coefficient of $P$ of order $r$ exists and that the empirical measures on an arbitrary sequence of asymptotically optimal quantizing sets (of order $r$) weakly converges to $P_r$ provided $\log(p_1s_1^r),\ldots,\log(p_Ns_N^r)$ is not arithmetic and $S_1,\ldots,S_N$ satisfies the open set condition.

Type
Research Article
Copyright
2005 Cambridge Philosophical Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)