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Correlations in the sequence of residence times.
Benjamin Lindner1, Tilo Schwalger
1Max-Planck-Institut für Physik komplexer Systeme, Nöthnitzer Strasse 38, 01187 Dresden, Germany.
Correlations in residence times (RTs) from metastable states exhibit oscillatory behavior. This study reveals RT correlations can uncover hidden driving features not seen in single-RT statistics for bistable systems.
Area of Science:
- Statistical Physics
- Stochastic Processes
- Nonlinear Dynamics
Background:
- Residence times (RTs) from metastable states are crucial in diverse scientific fields.
- Understanding correlations among RTs is key to characterizing complex systems.
- Bistable systems driven by noise present significant analytical challenges.
Purpose of the Study:
- To investigate the correlations among residence times (RTs) in a bistable stochastic system.
- To analyze the influence of dichotomous noise on RT correlations.
- To explore how RT correlations can reveal properties of the driving mechanism.
Main Methods:
- Analytical treatment of residence time distributions.
- Numerical simulations of a bistable stochastic system.
- Investigation of correlations as a function of lag time.
Main Results:
- Predicted an oscillatory behavior in RT correlations with respect to lag time.
- Identified conditions where correlations vanish (switching rate equals hopping rate).
- Demonstrated that RT correlations capture information absent in single-RT statistics.
Conclusions:
- RT correlations offer a powerful tool for analyzing stochastic systems.
- The oscillatory nature of correlations provides unique insights into system dynamics.
- RT correlation analysis can reveal characteristics of the driving noise invisible to other methods.
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