Quantization dimensions of negative order

Abstract We investigate the possibility of defining meaningful upper and lower quantization dimensions for a compactly supported Borel probability measure of order r , including negative values of r . To this end, we employ the concept of partition functions, which generalises the notion of the $L^q$ -spectrum, thus extending the authors’ earlier work with Sanguo Zhu in a natural way. In particular, we derive inherent fractal-geometric bounds and easily verifiable necessary conditions for the existence of quantization dimensions. We state the exact asymptotics of the quantization error of negative order for absolutely continuous measures, thereby providing an affirmative answer to an open question regarding the geometric mean error posed by Graf and Luschgy in this journal in 2004.

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Publication Details

Journal
Mathematical Proceedings of the Cambridge Philosophical Society
Published
2025-11-11
DOI
https://doi.org/10.1017/s030500412510176x
Primary Topic
Advanced Data Compression Techniques
Type
article
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article

Quantization dimensions of negative order

Marc Keßeböhmer, Aljoscha Niemann
Mathematical Proceedings of the Cambridge Philosophical Society
Advanced Data Compression Techniques
article

Quantization dimensions of negative order

Marc Keßeböhmer, Aljoscha Niemann
article en

Abstract

Abstract We investigate the possibility of defining meaningful upper and lower quantization dimensions for a compactly supported Borel probability measure of order r , including negative values of r . To this end, we employ the concept of partition functions, which generalises the notion of the $L^q$ -spectrum, thus extending the authors’ earlier work with Sanguo Zhu in a natural way. In particular, we derive inherent fractal-geometric bounds and easily verifiable necessary conditions for the existence of quantization dimensions. We state the exact asymptotics of the quantization error of negative order for absolutely continuous measures, thereby providing an affirmative answer to an open question regarding the geometric mean error posed by Graf and Luschgy in this journal in 2004.

Mathematical Proceedings of the Cambridge Philosophical SocietyVol. 180(2)
University of Bremen (DE)
Openalex Percentile: Top 66%
Advanced Data Compression Techniques
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