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Approximate Stationary Solution for Beam-Beam Interaction Models with Parametric Poisson White Noise

Xiaokui Yue1, Yong Xu2, Jianping Yuan1

National Key Laboratory of Aerospace Flight Dynamics, Northwestern Polytechnical University, Xi’an,710072, P. R. China.
Department of Applied Mathematics, Northwestern Polytechnical University, Xi’an, 710072, P. R. China.

Computer Modeling in Engineering & Sciences 2013, 93(4), 277-291. https://doi.org/10.3970/cmes.2013.093.277

Abstract

In this paper, a stochastic averaging method is derived for a class of non-linear stochastic systems under parametrical Poisson white noise excitation, which may be used to model the beam-beam interaction models in particle accelerators. The averaged Generalized Fokker-Planck equation is derived and the approximate stationary solution of the averaged Generalized Fokker-Planck equation is solved by using perturbation method. The present method applied in this paper can reduce the dimensions of stochastic ODE from 2n to n, which simplify the complex stochastic ODE, and then the analytical stationary solutions can be obtained. An example is employed to demonstrate the procedure of our proposed method. The analytical solution of approximate stationary probability density function is obtained, and the theoretical results are verified through numerical simulations. Finally, the stability of the amplitude process is investigated.

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APA Style
Yue, X., Xu, Y., Yuan, J. (2013). Approximate stationary solution for beam-beam interaction models with parametric poisson white noise. Computer Modeling in Engineering & Sciences, 93(4), 277-291. https://doi.org/10.3970/cmes.2013.093.277
Vancouver Style
Yue X, Xu Y, Yuan J. Approximate stationary solution for beam-beam interaction models with parametric poisson white noise. Comput Model Eng Sci. 2013;93(4):277-291 https://doi.org/10.3970/cmes.2013.093.277
IEEE Style
X. Yue, Y. Xu, and J. Yuan, “Approximate Stationary Solution for Beam-Beam Interaction Models with Parametric Poisson White Noise,” Comput. Model. Eng. Sci., vol. 93, no. 4, pp. 277-291, 2013. https://doi.org/10.3970/cmes.2013.093.277



cc Copyright © 2013 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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