Emerging symmetries and condensates in turbulent inverse cascades Gregory Falkovich Weizmann Institute of Science Cambridge, September 29, 2008 כט אלול.

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Emerging symmetries and condensates in turbulent inverse cascades Gregory Falkovich Weizmann Institute of Science Cambridge, September 29, 2008 כט אלול תשס''ח

Lack of scale-invariance in direct turbulent cascades

2d Navier-Stokes equations Kraichnan 1967

lhs of (*) conserves (*) pumping k 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

Small-scale forcing – inverse cascades

Strong fluctuations – many interacting degrees of freedom → scale invariance. Locality + scale invariance → conformal invariance Polyakov 1993

_____________ =

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

Vorticity clusters

Schramm-Loewner Evolution (SLE)

C=ξ(t)

Different systems producing SLE Critical phenomena with local Hamiltonians Random walks, non necessarily local Inverse cascades in turbulence Nodal lines of wave functions in chaotic systems Spin glasses Rocky coastlines

Bose-Einstein condensation and optical turbulence Gross-Pitaevsky equation

Condensation in two-dimensional turbulence M. G. Shats, H. Xia, H. Punzmann & GF, Suppression of Turbulence by Self-Generated and Imposed Mean Flows, Phys Rev Let 99, (2007); What drives mesoscale atmospheric turbulence? arXiv:

Atmospheric spectrum Lab experiment, weak spectral condensate Nastrom, Gage, J. Atmosph. Sci Shats et al, PRL2007

Mean shear flow (condensate) changes all velocity moments: Inverse cascades lead to emerging symmetries but eventually to condensates which break symmetries in a different way for different moments

Mean subtraction recovers isotropic turbulence 1.Compute time-average velocity field (N=400): 2. Subtract from N=400 instantaneous velocity fields Recover ~ k -5/3 spectrum in the energy range Kolmogorov law – linear S3 (r) dependence in the “turbulence range”; Kolmogorov constant C≈7 Skewness Sk ≈ 0, flatness slightly higher, F ≈ 6

Weak condensate Strong condensate

Conclusion Inverse cascades seems to be scale invariant. Within experimental accuracy, isolines of advected quantities are conformal invariant (SLE) in turbulent inverse cascades. Condensation into a system-size coherent mode breaks symmetries of inverse cascades. Condensates can enhance and suppress fluctuations in different systems For Gross-Pitaevsky equation, condensate may make turbulence conformal invariant

Case of weak condensate Weak condensate case shows small differences with isotropic 2D turbulence ~ k -5/3 spectrum in the energy range Kolmogorov law – linear S3 (r) dependence; Kolmogorov constant C≈5.6 Skewness and flatness are close to their Gaussian values (Sk=0, F=3)