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Characterizing stochastic resonance in a triple cavity

Urheber*innen

Mei ,  Ruoxing
Potsdam Institute for Climate Impact Research;

/persons/resource/yong.xu

Xu,  Yong
External Organizations;

Li,  Yongge
External Organizations;

/persons/resource/Juergen.Kurths

Kurths,  Jürgen
Potsdam Institute for Climate Impact Research;

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Zitation

Mei, R., Xu, Y., Li, Y., Kurths, J. (2021): Characterizing stochastic resonance in a triple cavity. - Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 379, 2198, 20200230.
https://doi.org/10.1098/rsta.2020.0230


Zitierlink: https://publications.pik-potsdam.de/pubman/item/item_25447
Zusammenfassung
Many biological systems possess confined structures, which produce novel influences on the dynamics. Here, stochastic resonance (SR) in a triple cavity that consists of three units and is subjected to noise, periodic force and vertical constance force is studied, by calculating the spectral amplification η numerically. Meanwhile, SR in the given triple cavity and differences from other structures are explored. First, it is found that the cavity parameters can eliminate or regulate the maximum of η and the noise intensity that induces this maximum. Second, compared to a double cavity with similar maximum/minimum widths and distances between two maximum widths as the triple cavity, η in the triple one shows a larger maximum. Next, the conversion of the natural boundary in the pure potential to the reflection boundary in the triple cavity will create the necessity of a vertical force to induce SR and lead to a decrease in the maximum of η. In addition, η monotonically decreases with the increase of the vertical force and frequency of the periodic force, while it presents several trends when increasing the periodic force’s amplitude for different noise intensities. Finally, our studies are extended to the impact of fractional Gaussian noise excitations. This article is part of the theme issue ‘Vibrational and stochastic resonance in driven nonlinear systems (part 2)’.