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/SM2009v200n06ABEH004019Additional details
Identifiers
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