Published July 22, 2016 | Version v1
Journal article

Linear stability theory as an early warning sign for transitions in high dimensional complex systems

  • 1. Centre for Complexity Science and Department of Mathematics, Imperial College London, South Kensington Campus, London SW7 2AZ (United Kingdom)

Description

We analyse in detail a new approach to the monitoring and forecasting of the onset of transitions in high dimensional complex systems by application to the Tangled Nature model of evolutionary ecology and high dimensional replicator systems with a stochastic element. A high dimensional stability matrix is derived in the mean field approximation to the stochastic dynamics. This allows us to determine the stability spectrum about the observed quasi-stable configurations. From overlap of the instantaneous configuration vector of the full stochastic system with the eigenvectors of the unstable directions of the deterministic mean field approximation, we are able to construct a good early-warning indicator of the transitions occurring intermittently. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1751-8113/49/29/295102

Additional details

Publishing Information

Journal Title
Journal of Physics. A, Mathematical and Theoretical (Online)
Journal Volume
49
Journal Issue
29
Journal Page Range
[18 p.]
ISSN
1751-8121

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
48100676
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
APPROXIMATIONS; CONFIGURATION; ECOLOGY; EIGENVECTORS; FORECASTING; MATRICES; MEAN-FIELD THEORY; MONITORING; SPECTRA; STABILITY; STOCHASTIC PROCESSES; VECTORS
Descriptors DEC
CALCULATION METHODS; TENSORS