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Difference between revisions of "Packing"

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As a special case, in vector spaces $V$, such as $\R^d$,
 
As a special case, in vector spaces $V$, such as $\R^d$,
packings of translates $ \{ M+v \mid v \in Z \} $, of a set $ M \subset V $ are considered.
+
packings of translates $ \{ M+v \mid v \in \Z \} $, of a set $ M \subset V $  
If the set $Z \subset V $ of translation vectors is a lattice,  
+
(also called the packing $(M,\Z)$ of $M$ ''by'' $\Z$) are considered.
 +
If the set $ \Z \subset V $ of translation vectors is a point lattice,  
 
then the packing is called a '''[[lattice packing]]'''.
 
then the packing is called a '''[[lattice packing]]'''.
 
In particular, such packings are investigated in the geometry of numbers and in discrete geometry.
 
In particular, such packings are investigated in the geometry of numbers and in discrete geometry.

Revision as of 01:14, 11 February 2012

2020 Mathematics Subject Classification: Primary: 52C20,52C22 [MSN][ZBL]

A packing of a (finite or infinite) family of sets $M_i$ in a set $A$ is, in its strict sense, any pairwise disjoint family of subsets $M_i\subset A$.

However, in geometry, for packings in Euclidean spaces, on an $n$-dimensional sphere, in a closed domanin, or in some other manifold, the sets $M_i$ are often closed domains, and then this condition is relaxed to requiring only that the interiors of the sets are pairwise disjoint.

Lattice packings

As a special case, in vector spaces $V$, such as $\R^d$, packings of translates $ \{ M+v \mid v \in \Z \} $, of a set $ M \subset V $ (also called the packing $(M,\Z)$ of $M$ by $\Z$) are considered. If the set $ \Z \subset V $ of translation vectors is a point lattice, then the packing is called a lattice packing. In particular, such packings are investigated in the geometry of numbers and in discrete geometry.

Sphere packings

Packings of congruent spheres are considered both in the geometry of numbers and in discrete geometry, and have applications in coding theory. A central problem is finding the densest packing, and the densest lattice packing, of congruent spheres in $\R^d$. For $d=3$, the problem (known as Kepler conjecture or Kepler problem) to decide whether there is a better packing than the densest lattice packing was a famous open problem that was recently solved by Hales (1998). With the help of massive computer calculations he showed that the densest lattice packing of spheres is optimal. This result is generally considered as correct but because of its size it has not yet been verified independently. However, Hales and his team are working on a computer-verifyable version of the proof.

Tilings

A tiling is a packing without gaps, i.e., such that the $M_i$ are also a covering of $A$.



(text below not yet revised)

in this case one speaks of the packing of the set by the system of vectors . If is a point lattice in , one speaks of a lattice packing .

Comments

Sphere packing has various applications in error-correcting codes (cf. Error-correcting code), the channel coding problem, Steiner systems (cf. Steiner system), -designs, and in the theory of finite groups. The most important special case is the sphere packing in via the Leech lattice. Finite and infinite sphere packing in has applications in classical and modern crystallography (cf. Crystallography, mathematical).

References

[1]

E.P. Baranovskii, "Packings, coverings, partitions, and certain other distributions in spaces of constant curvature" Progress in Math. , 9 (1971) pp. 209–253 Itogi Nauk. Algebra. Topol. Geom. 1967 (1969) pp. 181–225

[2]

L. Fejes Toth, "Lagerungen in der Ebene, auf der Kugel und im Raum" , Springer (1972)

[3]

C.A. Rogers, "Packing and covering" , Cambridge Univ. Press (1964)

[4]

J.H. Conway, N.J.A. Sloane, "Sphere packing, lattices and groups" , Springer (1988)

How to Cite This Entry:
Packing. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=Packing&oldid=20963
This article was adapted from an original article by A.V. Malyshev (originator), which appeared in Encyclopedia of Mathematics - ISBN 1402006098. See original article