Noise-induced, ac-stabilized sine-Gordon breathers: Emergence and statistics
Duilio De Santis, Claudio Guarcello, Bernardo Spagnolo, Angelo, Carollo, Davide Valenti

TL;DR
This study investigates how noise and ac forcing can induce and stabilize sine-Gordon breathers, revealing optimal noise levels for their formation and analyzing their statistical properties under different boundary conditions.
Contribution
It demonstrates the cooperative effect of noise and ac forcing in breather emergence, providing detailed statistical analysis and boundary condition effects, which is a novel insight in sine-Gordon dynamics.
Findings
Breather number increases with noise amplitude.
Breather spatial distribution depends on boundary conditions.
Optimal noise levels exist for breather generation.
Abstract
Noisy and ac forcing can cooperatively lead to the emergence of sine-Gordon breathers robust to dissipation. This phenomenon is studied, for both Neumann and periodic boundary conditions (NBC and PBC, respectively), at different values of the main system parameters, such as the noise intensity and the ac frequency-amplitude pair. In all the considered cases, nonmonotonicities of the probability of generating only breathers versus the noise strength are observed, implying that optimal noise ranges for the breather formation process exist. Within the latter scenarios, the statistics of the breathers' number, position, and amplitude are analyzed. The number of breathers is found to grow, on average, with the noise amplitude. The breathers' spatial distribution is sharply peaked at the system's edges for NBC, whereas it is essentially uniform for PBC. The average breather amplitude is…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNonlinear Dynamics and Pattern Formation · stochastic dynamics and bifurcation · Nonlinear Photonic Systems
