10 research outputs found
Validity of numerical trajectories in the synchronization transition of complex systems
We investigate the relationship between the loss of synchronization and the
onset of shadowing breakdown {\it via} unstable dimension variability in
complex systems. In the neighborhood of the critical transition to strongly
non-hyperbolic behavior, the system undergoes on-off intermittency with respect
to the synchronization state. There are potentially severe consequences of
these facts on the validity of the computer-generated trajectories obtained
from dynamical systems whose synchronization manifolds share the same
non-hyperbolic properties.Comment: 4 pages, 4 figure
Schulpsychologische Beratung am Beispiel Gewalt in der Schule
Wild E, Pikowsky B. Schulpsychologische Beratung am Beispiel Gewalt in der Schule. In: Hofer M, Wild E, Pikowsky B, eds. Grundlagen pädagogisch-psychologischer Beratung. Bern: Huber; 1996: 115-144
Schulpsychologische Beratung
Pikowsky B, Wild E. Schulpsychologische Beratung. In: Hofer M, Wild E, Pikowsky B, eds. Grundlagen pädagogisch-psychologischer Beratung. Bern: Huber; 1996: 87-114
The influence of having children on HIV-related risk behaviors of female sex workers and their intimate male partners in two Mexico-US border cities
Application of transfer entropy to causality detection and synchronization experiments in tokamaks
Determination of causal-effect relationships can be a difficult task even in the analysis of time series. This is particularly true in the case of complex, nonlinear systems affected by significant levels of noise. Causality can be modelled as a flow of information between systems, allowing to better predict the behaviour of a phenomenon on the basis of the knowledge of the one causing it. Therefore, information theoretic tools, such as the transfer entropy, have been used in various disciplines to quantify the causal relationship between events. In this paper, Transfer Entropy is applied to determining the information relationship between various phenomena in Tokamaks. The proposed approach provides unique insight about information causality in difficult situations, such as the link between sawteeth and ELMs and ELM pacing experiments. The application to the determination of disruption causes, and therefore to the classification of disruption types, looks also very promising. The obtained results indicate that the proposed method can provide a quantitative and statistically sound criterion to address the causal-effect relationships in various difficult and ambiguous situations if the data is of sufficient quality