stochastic geometry of turbulence

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Stochastic geometry of turbulence Gregory Falkovich Weizmann Institute APS meeting, 28 February 2012 D. Bernard, G. Boffetta, A. Celani, S. Musacchio, B. K. Turitsyn,M. Vucelja

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Stochastic geometry of turbulence. Gregory Falkovich Weizmann Institute. D. Bernard , G. Boffetta, Celani, S . Musacchio , K. Turitsyn,M . Vucelja. APS meeting, 28 February 2012. Fractals, multi-fractals and God knows what. depends neither on q nor on r - fractal. - PowerPoint PPT Presentation

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Page 1: Stochastic geometry of turbulence

Stochastic geometry of turbulence

Gregory FalkovichWeizmann Institute

APS meeting, 28 February 2012

D. Bernard, G. Boffetta, A. Celani, S. Musacchio, B. K. Turitsyn,M. Vucelja

Page 2: Stochastic geometry of turbulence

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

Page 3: Stochastic geometry of turbulence

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)

Page 4: Stochastic geometry of turbulence

Full level set is fractal with D = 2 - ζ

Random Gaussian Surfaces

What about a single isoline?

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Schramm-Loewner Evolution - SLE

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What it has to do with turbulence?

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C=ξ(t)

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Euler equation in 2d describes transport of vorticity

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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

Page 13: Stochastic geometry of turbulence

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

Page 14: Stochastic geometry of turbulence

(*)

Add force and dissipation to provide for turbulence

lhs of (*) conserves

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pumping

kQ

Kraichnan’s double cascade picture

P

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Inverse Q-cascade

ζ

m

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Small-scale forcing – inverse cascades

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perimeter P

Boundary Frontier Cut points

Bernard, Boffetta, Celani &GF, Nature Physics 2006, PRL2007

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

ζ κ

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Inverse cascade versus Direct cascade

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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)

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Smooth velocity, locally anisotropic contours

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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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