| Peer-Reviewed

The Diffusion Behavior of the System Driven by Non-Gaussian Noise or Its Time Derivative

Received: 16 February 2022    Accepted: 7 March 2022    Published: 14 March 2022
Views:       Downloads:
Abstract

The diffusion behavior of the system driven by the non-Gaussian noise and its time derivative are investigated in detail. The temperature dependence of the noise spectral profile is firstly analyzed using Monte Carlo simulations, which is shown that the spectrum of the non-Gaussian noise is a decreasing function of temperature when the frequency is sufficient small. By contrast, its derivative is Gaussian and vanishes for the low frequency. In addition, diffusion behavior of the system subjected to non Gaussian noise or its time derivative are more detailed discussed within the framework of the generalized Langevin equation. It is particularly revealed that the system driven by the internal non-Gaussian noise behaves as normal diffusion for various temperatures, while the time derivative of the non-Gaussian noise induces ballistic diffusion of a free system and the variance is sensitive to the initial condition which implies the breaking of the ergodicity.

Published in American Journal of Physics and Applications (Volume 10, Issue 2)
DOI 10.11648/j.ajpa.20221002.12
Page(s) 33-37
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Non-Gaussian Noise, Ballistic Diffusion, Monte Carlo Simulations

References
[1] Y. X. Wu, Y. X. Jiao, Y. Z.Zhao, H. J. Jia, and L. F. Xu, Phys. Rev. E 105, 014419 (2022).
[2] S. Larocque, E. Pinsolle, C. Lupien, and B. Reulet, Phys. Rev. Lett. 125, 106801 (2020).
[3] K.Bialas, J.Luczka, P.Hänggi, andJ.Spiechowicz, Phys. Rev. E 102, 042121 (2020).
[4] S. Gopalakrishnan, K. Ranjibul Islam, and M. Knap, Phys. Rev. Lett. 119, 046601 (2017).
[5] Z. W. Bai and P. Wang, Euro. Phys. J. B, 89, 75 (2016).
[6] J. H. Huh, Phys. Rev. E 94, 052702 (2016).
[7] D. X. Li, X. W. Cui, and Y. C. Yang, Neurocomputing 287, 52-57 (2018).
[8] L. Gammaitoni, P. Hänggi, P. Jung and F. Marchesoni, Rev. Mod. Phys. 70, 223 (1998).
[9] W. Horsthemke and R. Lefever, Noise-Induced Transitions: Theory and Applications in Physics, Chemistry and Biology (Berlin: Springer, 1984).
[10] C. Van den Broeck, J. M. R. Parrondo, R. Toral and R. Kawai, Phys. Rev. E 55, 4084 (1997).
[11] S. Mangioni, R. Deza, R. Toral and H. S. Wio, Phys. Rev. E 61, 223 (2000).
[12] V. Dossetti, F. J. Sevilla, and V. M. Kenkre, Phys. Rev. E 79, 051115 (2009).
[13] A. B. Duncan, S. Kalliadasis, G. A. Pavliotis, and M. Pradas, Phys. Rev. E 94, 032107 (2016).
[14] Y. Li, Y. Xu, J. Kurths, and X. L. Yue , Phys. Rev. E 94, 042222 (2016).
[15] P. Reimann, Phys. Rep. 361, 57 (2002).
[16] I. Goychuk and P. Hänggi, Phys. Rev. E 61, 4272 (2000).
[17] S. M. Bezrukov and I. Vodyanoy, Nature 378, 362 (1995).
[18] D. Nozaki, D. J. Mar, P. Griegg, and J. D. Collins, Phys. Rev. Lett. 72, 2125 (1999).
[19] M. A. Fuentes, R. Toral, and H. S. Wio, Physica A 295, 114 (2001).
[20] S. Bouzat and H. S. Wio, Eur. Phys. J. B 41, 97 (2004).
[21] Q. Guo, Z. K. Sun and W. Xu, Physica A 449, 43 (2016).
[22] S. Jespersen, R. Metzler and H. C. Fogedby, Phys. Rev. E 59, 2736 (1999).
[23] Y. Lü, H. Lu, Journal of Stastical Physics 176, 1046- 1056(2019).
[24] A. Montina and F. T. Arecchi, Phys. Rev. Lett. 100, 120401 (2008).
[25] G. Zumofen and J. Klafter, Phys. Rev. E 51, 2805 (1995).
[26] J. D. Bao and Y. Z. Zhuo, Phys. Rev. E 71, 010102(R) (2005).
[27] J. D. Bao, Y. L. Song, Q. Ji and Y. Z. Zhuo, Phys. Rev. E 72, 011113 (2005).
[28] R. Y. Chen, L. L. Pan, L. R. Nie and C. Y. Chen, Indian Journal of Physics 93, 1 (2018).
Cite This Article
  • APA Style

    Hong Lu, Yan Lü. (2022). The Diffusion Behavior of the System Driven by Non-Gaussian Noise or Its Time Derivative. American Journal of Physics and Applications, 10(2), 33-37. https://doi.org/10.11648/j.ajpa.20221002.12

    Copy | Download

    ACS Style

    Hong Lu; Yan Lü. The Diffusion Behavior of the System Driven by Non-Gaussian Noise or Its Time Derivative. Am. J. Phys. Appl. 2022, 10(2), 33-37. doi: 10.11648/j.ajpa.20221002.12

    Copy | Download

    AMA Style

    Hong Lu, Yan Lü. The Diffusion Behavior of the System Driven by Non-Gaussian Noise or Its Time Derivative. Am J Phys Appl. 2022;10(2):33-37. doi: 10.11648/j.ajpa.20221002.12

    Copy | Download

  • @article{10.11648/j.ajpa.20221002.12,
      author = {Hong Lu and Yan Lü},
      title = {The Diffusion Behavior of the System Driven by Non-Gaussian Noise or Its Time Derivative},
      journal = {American Journal of Physics and Applications},
      volume = {10},
      number = {2},
      pages = {33-37},
      doi = {10.11648/j.ajpa.20221002.12},
      url = {https://doi.org/10.11648/j.ajpa.20221002.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajpa.20221002.12},
      abstract = {The diffusion behavior of the system driven by the non-Gaussian noise and its time derivative are investigated in detail. The temperature dependence of the noise spectral profile is firstly analyzed using Monte Carlo simulations, which is shown that the spectrum of the non-Gaussian noise is a decreasing function of temperature when the frequency is sufficient small. By contrast, its derivative is Gaussian and vanishes for the low frequency. In addition, diffusion behavior of the system subjected to non Gaussian noise or its time derivative are more detailed discussed within the framework of the generalized Langevin equation. It is particularly revealed that the system driven by the internal non-Gaussian noise behaves as normal diffusion for various temperatures, while the time derivative of the non-Gaussian noise induces ballistic diffusion of a free system and the variance is sensitive to the initial condition which implies the breaking of the ergodicity.},
     year = {2022}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - The Diffusion Behavior of the System Driven by Non-Gaussian Noise or Its Time Derivative
    AU  - Hong Lu
    AU  - Yan Lü
    Y1  - 2022/03/14
    PY  - 2022
    N1  - https://doi.org/10.11648/j.ajpa.20221002.12
    DO  - 10.11648/j.ajpa.20221002.12
    T2  - American Journal of Physics and Applications
    JF  - American Journal of Physics and Applications
    JO  - American Journal of Physics and Applications
    SP  - 33
    EP  - 37
    PB  - Science Publishing Group
    SN  - 2330-4308
    UR  - https://doi.org/10.11648/j.ajpa.20221002.12
    AB  - The diffusion behavior of the system driven by the non-Gaussian noise and its time derivative are investigated in detail. The temperature dependence of the noise spectral profile is firstly analyzed using Monte Carlo simulations, which is shown that the spectrum of the non-Gaussian noise is a decreasing function of temperature when the frequency is sufficient small. By contrast, its derivative is Gaussian and vanishes for the low frequency. In addition, diffusion behavior of the system subjected to non Gaussian noise or its time derivative are more detailed discussed within the framework of the generalized Langevin equation. It is particularly revealed that the system driven by the internal non-Gaussian noise behaves as normal diffusion for various temperatures, while the time derivative of the non-Gaussian noise induces ballistic diffusion of a free system and the variance is sensitive to the initial condition which implies the breaking of the ergodicity.
    VL  - 10
    IS  - 2
    ER  - 

    Copy | Download

Author Information
  • School of Science, Guizhou University of Engineering Science, P. R. China

  • School of Applied Science, Taiyuan University of Science and Technology, P. R. China

  • Sections