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Stochastic geometry of turbulence Gregory Falkovich Weizmann Institute November 2014 D. Bernard, G. Boffetta, A.Celani, S. Musacchio, K. Turitsyn, M. Vucelja.

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Presentation on theme: "Stochastic geometry of turbulence Gregory Falkovich Weizmann Institute November 2014 D. Bernard, G. Boffetta, A.Celani, S. Musacchio, K. Turitsyn, M. Vucelja."— Presentation transcript:

1 Stochastic geometry of turbulence Gregory Falkovich Weizmann Institute November 2014 D. Bernard, G. Boffetta, A.Celani, S. Musacchio, K. Turitsyn, M. Vucelja

2 Fractals, multi-fractals and God knows what depends neither on q nor on r - fractal depends on q – multi-fractal depends on r - God knows what

3 Turbulence is a state of a physical system with many degrees of freedom deviated far from equilibrium. It is irregular both in time and in space. Energy cascade and Kolmogorov scaling Transported scalar (Lagrangian invariant)

4 Full level set is fractal with D = 2 - ζ Random Gaussian Surfaces What about a single isoline?

5 3d is a mess

6 Schramm-Loewner Evolution - SLE 2d is a paradise

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8 What it has to do with turbulence?

9 C=ξ(t)‏

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11 Euler equation in 2d describes transport of vorticity

12 Family of transport-type equations m=2 Navier-Stokes m=1 Surface quasi-geostrophic model, m=-2 Charney-Hasegawa-Mima model Electrostatic analogy: Coulomb law in d=4-m dimensions

13 This system describes geodesics on an infinitely-dimensional Riemannian manifold of the area-preserving diffeomorfisms. On a torus,

14 (*)‏ Add force and dissipation to provide for turbulence lhs of (*) conserves

15 pumping k Q Kraichnan’s double cascade picture P

16 Inverse Q-cascade ζ m

17 Small-scale forcing – inverse cascades

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19 perimeter P  Boundary  Frontier  Cut points  Boundary  Frontier  Cut points Bernard, Boffetta, Celani &GF, Nature Physics 2006, PRL2007

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24 Scalar exponents ζ of the scalar field (circles) and stream function (triangles), and universality class κ for different m ζκ

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26 Inverse cascade versus Direct cascade

27 M Vucelja, G Falkovich & K S Turitsyn Fractal iso-contours of passive scalar in two-dimensional smooth random flows. J Stat Phys 147 : 424–435 (2012)

28 Smooth velocity, locally anisotropic contours

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36 Within experimental accuracy, isolines of advected quantities are conformal invariant (SLE) in turbulent inverse cascades. Why? Vorticity isolines in the direct cascade are multi-fractal. Isolines of passive scalar in the Batchelor regime continue to change on a time scale vastly exceeding the saturation time of the bulk scalar field. Why? Conclusion

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