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Diffusion and Generation of Non-Gaussianity in Chaotic Discrete Dynamics

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Chaos and Statistical Methods

Part of the book series: Springer Series in Synergetics ((SSSYN,volume 24))

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Abstract

In this contribution we discuss the long-time dynamics of Yt [1–4] governed by

$${Y_{t + 1}}\, = \,{Y_t}\, + \,\Delta ({x_t})\,,\,(t = 0,1,2, \cdots )\,,\,{Y_0} = 0$$
(1.1)

where Δ is a certain steady stochastic variable generated by a chaotic variable xt obeying a one-dimensional map

$${X_{t + 1}}\, = \,f({x_t})\,,\,(0\, \leqslant \,{x_t}\, < \,1\,).$$
(1.2)

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References

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© 1984 Springer-Verlag Berlin Heidelberg

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Fujisaka, H. (1984). Diffusion and Generation of Non-Gaussianity in Chaotic Discrete Dynamics. In: Kuramoto, Y. (eds) Chaos and Statistical Methods. Springer Series in Synergetics, vol 24. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-69559-9_16

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  • DOI: https://doi.org/10.1007/978-3-642-69559-9_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-69561-2

  • Online ISBN: 978-3-642-69559-9

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