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Stochastic resonance for motion of flexible macromolecules in solution
Igor E Dikshtein1, Dmitri V Kuznetsov, Lutz Schimansky-Geier
1Institute of Radioengineering and Electronics, Russian Academy of Sciences, Mokhovaya Strasse 11, 103907 Moscow, Russia.
Summary
This study explores polymer segment motion in solutions, revealing that periodic forces can synchronize oscillations, leading to stochastic resonance. This phenomenon is enhanced by specific potential characteristics and noise levels.
Area of Science:
- Polymer Physics
- Statistical Mechanics
- Soft Matter Physics
Background:
- Macromolecular motion in polymer solutions is influenced by localized attracting centers and phase boundaries.
- These attracting centers act as pinning sites, restricting polymer segment mobility.
- Phase boundaries can be modeled as bistable potentials influencing segment dynamics.
Purpose of the Study:
- To investigate the dynamics of polymer segments in dilute or semidilute solutions under stochastic and periodic forces.
- To analyze the phenomenon of stochastic resonance in this system.
- To explore conditions for doubly stochastic resonance arising from multiplicative noise.
Main Methods:
- Theoretical modeling of polymer solutions with localized attracting centers and a bistable potential boundary.
- Analysis of stochastic oscillations driven by random forces.
- Application of periodic forces to induce synchronization and stochastic resonance.
Main Results:
- Stochastic forces induce oscillations of polymer segments between potential wells.
- Periodic forces synchronize these oscillations, leading to stochastic resonance at non-zero noise intensities.
- Resonance effects are more pronounced for wider/shallower potentials and lower noise intensities.
Conclusions:
- Stochastic resonance is a viable mechanism for enhancing signal detection in polymer systems.
- The characteristics of the potential landscape and noise intensity critically influence resonance phenomena.
- Doubly stochastic resonance may occur under specific multiplicative noise conditions.