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Andrea Mazzino

Publications and source records attributed to Andrea Mazzino.

38 records · Page 3Linked to original sources

Passive scalar turbulence in high dimensions

Exploiting a Lagrangian strategy we present a numerical study for both perturbative and nonperturbative regions of the Kraichnan advection model. The major result is the numerical assessment of the first-order $1/d$-expansion by M. Chertkov, G. Falkovich, I. Kolokolov and V. Lebedev ({\it Phys. Rev. E}, {\bf 52}, 4924 (1995)) for the fourth-order scalar structure function in the limit of high dimensions $d$'s. %Two values of the velocity scaling exponent $ξ$ have been considered: %$ξ=0.8$ and $ξ=0.6$. In the first case, the perturbative regime %takes place at $d\sim 30$, while in the second at $d\sim 25$, %in agreement with the fact that the relevant small parameter %of the theory is $\propto 1/(d (2-ξ))$. In addition to the perturbative results, the behavior of the anomaly for the sixth-order structure functions {\it vs} the velocity scaling exponent, $ξ$, is investigated and the resulting behavior discussed.

nlin.CD↗

Anisotropic non-perturbative zero modes for passively advected magnetic fields

A first analytic assessment of the role of anisotropic corrections to the isotropic anomalous scaling exponents is given for the $d$-dimensional kinematic magneto-hydrodynamics problem in the presence of a mean magnetic field. The velocity advecting the magnetic field changes very rapidly in time and scales with a positive exponent $ξ$. Inertial-range anisotropic contributions to the scaling exponents, $ζ_j$, of second-order magnetic correlations are associated to zero modes and have been calculated non-perturbatively. For $d=3$, the limit $ξ\mapsto 0$ yields $\protect{ζ_j=j-2+ ξ(2j^3 +j^2 -5 j - 4)/[2(4 j^2 - 1)]} $ where $j$ ($j\geq 2$) is the order in the Legendre polynomial decomposition applied to correlation functions. Conjectures on the fact that anisotropic components cannot change the isotropic threshold to the dynamo effect are also made.

chao-dyn↗