TY - JOUR

T1 - Parametrically driven microparticle in the presence of a stationary zero-mean stochastic source

T2 - Model for thermal equilibrium in the Paul trap

AU - Izmailov, Alexander F.

AU - Arnold, Stephen

AU - Myerson, Allan S.

N1 - Copyright:
Copyright 2015 Elsevier B.V., All rights reserved.

PY - 1994

Y1 - 1994

N2 - An analytical approach is developed to consider confined motion of a charged microparticle within the Paul trap (an electrodynamic levitator trap) in an atmosphere near the standard temperature and pressure. The suggested approach is based on a second-order linear stochastic differential equation which describes dampled microparticle motion subjected to the combined periodic parametric and random external excitations. To solve this equation a new ansatz is developed. This ansatz is a generalization of the Bogoliubov-Krylov decomposition technique, which is usually used to reduce the order of a differential equation. The solution is obtained in the long time imaging limit by applying the Bogoliubov general averaging principle. In spite of the second-order form of the initial stochastic differential equation, the microparticle motion can be understood as a one-dimensional Markov process. Comparison in the long time imaging limit of the calculated data obtained from the analytically derived expression for the standard deviation of confined microparticle stochastic motion with the experimentally obtained data demonstrates asymptotic agreement for regions where the dimensionless parameter κ is much less than 1 (κ≤0.005). Simple extremum analysis of the expression obtained for the standard deviation reveals that for the particular case of a large drag parameter α (α8 12) there is a minimum in the standard deviation which is only α dependent.

AB - An analytical approach is developed to consider confined motion of a charged microparticle within the Paul trap (an electrodynamic levitator trap) in an atmosphere near the standard temperature and pressure. The suggested approach is based on a second-order linear stochastic differential equation which describes dampled microparticle motion subjected to the combined periodic parametric and random external excitations. To solve this equation a new ansatz is developed. This ansatz is a generalization of the Bogoliubov-Krylov decomposition technique, which is usually used to reduce the order of a differential equation. The solution is obtained in the long time imaging limit by applying the Bogoliubov general averaging principle. In spite of the second-order form of the initial stochastic differential equation, the microparticle motion can be understood as a one-dimensional Markov process. Comparison in the long time imaging limit of the calculated data obtained from the analytically derived expression for the standard deviation of confined microparticle stochastic motion with the experimentally obtained data demonstrates asymptotic agreement for regions where the dimensionless parameter κ is much less than 1 (κ≤0.005). Simple extremum analysis of the expression obtained for the standard deviation reveals that for the particular case of a large drag parameter α (α8 12) there is a minimum in the standard deviation which is only α dependent.

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U2 - 10.1103/PhysRevE.50.702

DO - 10.1103/PhysRevE.50.702

M3 - Article

AN - SCOPUS:35949007538

VL - 50

SP - 702

EP - 708

JO - Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics

JF - Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics

SN - 1063-651X

IS - 2

ER -