Magnetic field induced anomalous distribution of particles
Shrabani Mondal, L. R. Rahul Biswas, Mousumi Biswas, and Bidhan, Chandra Bag

TL;DR
This paper demonstrates that a fluctuating magnetic field can induce anomalous, non-Boltzmann particle distributions even in linear stochastic systems, and explores complex distributions in nonlinear systems with potential implications for semiconductor physics.
Contribution
It reveals that magnetic field-induced anomalies in particle distributions can occur in linear stochastic systems, expanding understanding beyond nonlinear noise-induced transitions.
Findings
Magnetic field alters stationary particle distribution shape.
Distribution can become non-monotonic and deviate from Boltzmann.
Complex distributions with multiple islands can emerge in nonlinear systems.
Abstract
It seems that a stochastic system must be a nonlinear one to observe the phenomenon, noise induced transition. But in the present paper, we have demonstrated that the phenomenon may be observed even in a linear stochastic process where both deterministic and stochastic parts are linear functions of the relevant phase space variables. The shape of the stationary distribution of particles (which are confined in a harmonic potential) may change on increasing the strength of the applied fluctuating magnetic field. The probability density may vary non monotonically with an increase in the coordinate of a Brownian particle. Thus the distribution of particles may deviate strongly from the Boltzmann one and it is a unique signature of the fluctuating magnetic field. Then we are motivated strongly to study the distribution of particles in a nonlinear stochastic system where the Brownian…
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Statistical Mechanics and Entropy · stochastic dynamics and bifurcation
