On the Topological Dimension of Probability Measures

Abstract In 1932, L. S. Pontryagin and L. G. Schnirelmann proved a theorem according to which the greatest lower bound for the lower box dimensions of a metrizable compact space with respect to all metrics compatible with the topology equals the topological dimension of this compact space. This paper considers the greatest lower bound for the quantization dimensions of a Borel probability measure on a compact metrizable space with respect to all compatible metrics on this compact space. It is shown that, given probability measure on an interval of the real line, there exists a metric compatible with the topology of the interval for which the quantization dimension of this measure vanishes.

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Publication Details

Journal
Mathematical Notes
Published
2026-09-30
DOI
https://doi.org/10.1134/s0001434626604363
Primary Topic
Advanced Data Compression Techniques
Type
article
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On the Topological Dimension of Probability Measures

A. V. Ivanov
Mathematical Notes
Advanced Data Compression Techniques
article

On the Topological Dimension of Probability Measures

A. V. Ivanov
article en

Abstract

Abstract In 1932, L. S. Pontryagin and L. G. Schnirelmann proved a theorem according to which the greatest lower bound for the lower box dimensions of a metrizable compact space with respect to all metrics compatible with the topology equals the topological dimension of this compact space. This paper considers the greatest lower bound for the quantization dimensions of a Borel probability measure on a compact metrizable space with respect to all compatible metrics on this compact space. It is shown that, given probability measure on an interval of the real line, there exists a metric compatible with the topology of the interval for which the quantization dimension of this measure vanishes.

Mathematical NotesVol. 120(5-6)
Karelian Research Centre (RU)
Reduced inequalities
Openalex Percentile: Top 14%
Advanced Data Compression Techniques
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