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Observable full-horseshoes for Lagrangian flows advected by stochastic 2D Navier-Stokes equations
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In this paper, we mainly study the turbulence of Lagrangian flow advected by stochastic 2D Navier-Stokes equations. It is proved that this system has observable full-horseshoes. The observable full-horseshoe means that it is a kind of chaotic structure and occurs on any two disjoint non-empty closed balls.
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Cited by 1 Pith paper
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Non uniform expansion and additive noise imply random horseshoe
Non-uniformly expanding maps with additive noise and a fully-positive-Lyapunov stationary measure are asserted to have dense random horseshoes, a random version of Smale's horseshoe.
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