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G. Falkovich Leiden, August 2006
Smooth, rough, broken: From Lyapunov exponents and zero modes to caustics in the description of inertial particles. G. Falkovich Leiden, August 2006
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Smooth flow 1d H is convex
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Multi-dimensional
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→ singular (fractal) SRB Measure
entropy
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Coarse-grained density
An anomalous scaling corresponds to slower divergence of particles to get more weight. Statistical integrals of motion (zero modes) of the backward-in-time evolution compensate the increase in the distances by the concentration decrease inside the volume. Bec, Gawedzki, Horvai, Fouxon
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Inertial particles u v Maxey
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Spatially smooth flow One-dimensional model
Equivalent in 1d to Anderson localization: localization length=Lyapunov exponent
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Velocity gradient
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Fouxon, Stepanov, GF
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Lyapunov exponent
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Gawedzki, Turitsyn and GF.
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Statistics of inter-particle distance in 1d
high-order moments correspond effectively to large Stokes
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Continuous flow Piterbarg, Turitsyn, Derevyanko, Pumir, GF
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Derevyanko
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2d short-correlated Baxendale and Harris, Chertkov, Kolokolov,
Vergassola, Piterbarg, Mehlig and Wilkinson
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Coarse-grained density:
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Falkovich, Lukaschuk, Denissenko
-2 n Falkovich, Lukaschuk, Denissenko
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3d Short-correlated flow Finite-correlated flow
Duncan, Mehlig, Ostlund, Wilkinson Finite-correlated flow Bec, Biferale, Boffetta, Cencini, Musacchio, Toschi
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Clustering versus mixing in the inertial interval:
Balkovsky, Fouxon, Stepanov, GF, Horvai, Bec Cencini, Hillerbrand
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Fouxon, Horvai
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Fluid velocity roughness decreases clustering of particles
Pdf of velocity difference has a power tail Bec, Cencini, Hillerbrand
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Collision rate Sundaram, Collins; Balkovsky, Fouxon, GF
Fouxon, Stepanov, GF Bezugly, Mehlig and Wilkinson Pumir, GF
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Main open problems 1. To understand relations between the Lagrangian and Eulerian descriptions. 2. To sort out two contributions into different quantities: i) from a smooth dynamics and multi-fractal spatial distribution, and ii) from explosive dynamics and caustics. 3. Find how collision rate and density statistics depend on the dimensionless parameters (Reynolds, Stokes and Froude numbers).
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