Published June 30, 2009 | Version v1
Journal article

Estimating the chromatic numbers of Euclidean space by convex minimization methods

  • 1. M. V. Lomonosov Moscow State University, Faculty of Mechanics and Mathematics, Moscow (Russian Federation)

Description

The chromatic numbers of the Euclidean space Rn with k forbidden distances are investigated (that is, the minimum numbers of colours necessary to colour all points in Rn so that no two points of the same colour lie at a forbidden distance from each other). Estimates for the growth exponents of the chromatic numbers as n→∞ are obtained. The so-called linear algebra method which has been developed is used for this. It reduces the problem of estimating the chromatic numbers to an extremal problem. To solve this latter problem a fundamentally new approach is used, which is based on the theory of convex extremal problems and convex analysis. This allows the required estimates to be found for any k. For k≤20 these estimates are found explicitly; they are the best possible ones in the framework of the method mentioned above. Bibliography: 18 titles.

Availability note (English)

Available from http://dx.doi.org/10.1070/SM2009v200n06ABEH004019

Additional details

Publishing Information

Journal Title
Sbornik. Mathematics
Journal Volume
200
Journal Issue
6
Journal Page Range
p. 783-801
ISSN
1064-5616

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
41046387
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING;
Descriptors DEI
ALGEBRA; COLOR; CONVEX MANIFOLDS; EUCLIDEAN SPACE; MINIMIZATION
Descriptors DEC
MATHEMATICAL MANIFOLDS; MATHEMATICAL SPACE; MATHEMATICS; OPTICAL PROPERTIES; OPTIMIZATION; ORGANOLEPTIC PROPERTIES; PHYSICAL PROPERTIES; RIEMANN SPACE; SPACE