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Discrete & Computational Geometry
Article . 1995 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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zbMATH Open
Article . 1995
Data sources: zbMATH Open
DBLP
Article . 1995
Data sources: DBLP
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Sausages are good packings

Authors: Ulrich Betke; Martin Henk; Jörg M. Wills;

Sausages are good packings

Abstract

In a previous paper [J. Reine Angew. Math. 453, 165-191 (1994; Zbl 0797.52010)] the authors introduced a new original approach to the study of finite and infinite packings and were able to prove several important results (e.g. they confirmed Fejes Tóth's ``sausage'' conjecture in high dimensions). Their approach is primarily based on the following parametric density: Let \(C_n\) be a set of \(n\) points defining a packing arrangement of the unit ball \(B^d\) in \(d\)-dimensional Euclidean space; then, for \(\rho > 0\) the density \(\delta (B^d, C_n, \rho)\) of the packing is defined to be the ratio of \(n\) times the volume of \(B^d\) over the volume of the body \(\text{conv } C_n + \rho B^d\). In the present paper, the authors prove that, for \(\rho < \sqrt {2}\) and sufficiently high dimensions, ``sausage'' packings of balls (that is packings for which \(C_n\) is contained in a line segment) minimize the density \(\delta (B^d, C_n, \rho)\). This gives an improvement of the bound \(\rho < \sqrt {3}\) proved in the quoted article. The above density can easily be generalized to arbitrary convex bodies, and in this case the bound \(\sqrt {2}\) has to be replaced by a constant depending on the dimension of the space and on the inradius and circumradius of the given body. Moreover, it is shown how results for infinite packings can be deduced by this density.

Country
Germany
Keywords

Lattice packing and covering (number-theoretic aspects), density, 510.mathematics, sausage arrangements, Packing and covering in \(n\) dimensions (aspects of discrete geometry), finite packings, Article

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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!
15
Average
Top 10%
Top 10%
Green
bronze