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Vector balancing in Lebesgue spaces

Authors: Victor Reis; Thomas Rothvoss;

Vector balancing in Lebesgue spaces

Abstract

AbstractThe Komlós conjecture suggests that for any vectors there exist so that . It is a natural extension to ask what ‐norm bound to expect for . We prove a tight partial coloring result for such vectors, implying a nearly tight full coloring bound. As a corollary, this implies a special case of Beck–Fiala's conjecture. We achieve this by showing that, for any , a symmetric convex body with Gaussian measure at least admits a partial coloring. Previously this was known only for a small enough . Additionally, we show that a hereditary volume bound suffices to provide such Gaussian measure lower bounds.

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Keywords

FOS: Computer and information sciences, Discrete Mathematics (cs.DM), Extremal set theory, Ramsey theory, Beck-Fiala conjecture, Convex sets in \(n\) dimensions (including convex hypersurfaces), discrepancy theory, Komlós conjecture, Computer Science - Data Structures and Algorithms, Inequalities and extremum problems involving convexity in convex geometry, Data Structures and Algorithms (cs.DS), vector balancing, Computer Science - Discrete Mathematics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Top 10%
Green