Published April 2006
| Version v1
Journal article
Low-dimensional chaos in populations of strongly-coupled noisy maps
- 1. CNRS-UMR 7625, Ecole Normale Superieure, Paris (France)
- 2. CNRS-UMR 8539, Laboratoire de Meteorologie Dynamique, Ecole Normale Superieure, Paris (France)
- 3. Dept. of Physics, The Technical Univ. of Denmark, DK, Lyngby (Denmark)
- 4. CEA, Service de Physique de l'Etat Condense, Centre d'Etudes de Saclay, Gif-sur-Yvette (France)
Description
We characterize the macroscopic attractor of infinite populations of noisy maps subjected to global and strong coupling by using an expansion in order parameters. We show that for any noise amplitude there exists a large region of strong coupling where the macroscopic dynamics exhibits low-dimensional chaos embedded in a hierarchically-organized, folded, infinite-dimensional set. Both this structure and the dynamics occurring on it are well-captured by our expansion. In particular, even low-degree approximations allow to calculate efficiently the first macroscopic Lyapunov exponents of the full system. (author)
Additional details
Publishing Information
- Journal Title
- Progress of Theoretical Physics, Supplement
- Journal Issue
- no.161
- Journal Page Range
- p. 27-42
- ISSN
- 0375-9687
Conference
- Title
- International symposium on nonlinear oscillations
- Acronym
- OCNN 2004
- Dates
- 25-28 Nov 2004
- Place
- Kyoto (Japan)
INIS
- Country of Publication
- Japan
- Country of Input or Organization
- Japan
- INIS RN
- 37080188
- Subject category
- S72: PHYSICS OF ELEMENTARY PARTICLES AND FIELDS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ATTRACTORS; BIFURCATION; CHAOS THEORY; COLLECTIVE MODEL; EIGENVECTORS; LYAPUNOV METHOD; MAPS; NOISE; ORDER PARAMETERS; POPULATION DYNAMICS; SERIES EXPANSION; STOCHASTIC PROCESSES; STRONG-COUPLING MODEL; WEAK-COUPLING MODEL
- Descriptors DEC
- CALCULATION METHODS; DIMENSIONLESS NUMBERS; MATHEMATICAL MODELS; MATHEMATICS; NUCLEAR MODELS; PARTICLE MODELS
Optional Information
- Notes
- 36 refs., 9 figs.