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Scaling Theory of Relative Diffusion in Chaos and Turbulence

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Chaos and Statistical Methods

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

Abstract

The characteristic feature of chaos and turbulence is studied in the present paper from a general point of view of the scaling theory of transient phenomena proposed by the present author [1∿5]. For this purpose, we investigate here the relative diffusion in chaos and turbulence, namely

$$y\left( t \right) = < {\left( {{x_1}\left( t \right) - {x_2}\left( t \right)} \right)^2} > ,$$
(1.1)

where xj(t) denotes the trajectory of the j-th particle. The essence of chaos and turbulence is characterized by the instability of trajectories and consequently by the exponential growing of the relative diffusion y(t) in the initial time region, for a small initial deviation y(o); namely

$$y\left( t \right) \simeq y\left( 0 \right) {e^{\gamma t}};\gamma > 0.$$
(1.2)

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References

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© 1984 Springer-Verlag Berlin Heidelberg

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Suzuki, M. (1984). Scaling Theory of Relative Diffusion in Chaos and Turbulence. 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_35

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  • DOI: https://doi.org/10.1007/978-3-642-69559-9_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-69561-2

  • Online ISBN: 978-3-642-69559-9

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