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Abstract

All covering theorems are based on the same idea: from an arbitrary cover of a set in a metric space, one tries to select a subcover that is, in a certain sense, as disjointed as possible. In order to have such a result, one needs to assume that the covering sets are somehow nice, usually balls. In applications, the metric space normally comes with a measure μ, so that if F = {B} is a covering of a set A by balls, then always

$$ \mu (A) \leqslant \sum\limits_\mathcal{F} {\mu (B)} $$

(with proper interpretation of the sum if the collection F is not countable). What we often would like to have, for instance, is an inequality in the other direction,

$$ \mu (A) \geqslant C \sum\limits_{\mathcal{F}'} {\mu (B)} , $$

for some subcollection F′ ⊂ F that still covers A and for some positive constant C that is independent of A and the covering F. There are many versions of this theme.

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© 2001 Springer Science+Business Media New York

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Heinonen, J. (2001). Covering Theorems. In: Lectures on Analysis on Metric Spaces. Universitext. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-0131-8_1

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  • DOI: https://doi.org/10.1007/978-1-4613-0131-8_1

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-6525-2

  • Online ISBN: 978-1-4613-0131-8

  • eBook Packages: Springer Book Archive

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