Dynamics, emergent statistics, and the mean-pilot-wave potential of walking droplets
Author(s) -
Matthew Durey,
Paul A. Milewski,
John W. M. Bush
Publication year - 2018
Publication title -
chaos an interdisciplinary journal of nonlinear science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.971
H-Index - 113
eISSN - 1089-7682
pISSN - 1054-1500
DOI - 10.1063/1.5030639
Subject(s) - physics , chaotic , classical mechanics , harmonic , standing wave , motion (physics) , ergodic theory , dynamics (music) , faraday cage , field (mathematics) , random walk , mechanics , statistical physics , optics , quantum mechanics , magnetic field , mathematics , mathematical analysis , statistics , acoustics , artificial intelligence , computer science , pure mathematics
A millimetric droplet may bounce and self-propel on the surface of a vertically vibrating bath, where its horizontal "walking" motion is induced by repeated impacts with its accompanying Faraday wave field. For ergodic long-time dynamics, we derive the relationship between the droplet's stationary statistical distribution and its mean wave field in a very general setting. We then focus on the case of a droplet subjected to a harmonic potential with its motion confined to a line. By analyzing the system's periodic states, we reveal a number of dynamical regimes, including those characterized by stationary bouncing droplets trapped by the harmonic potential, periodic quantized oscillations, chaotic motion and wavelike statistics, and periodic wave-trapped droplet motion that may persist even in the absence of a central force. We demonstrate that as the vibrational forcing is increased progressively, the periodic oscillations become chaotic via the Ruelle-Takens-Newhouse route. We rationalize the role of the local pilot-wave structure on the resulting droplet motion, which is akin to a random walk. We characterize the emergence of wavelike statistics influenced by the effective potential that is induced by the mean Faraday wave field.
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