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相关论文: On anomalous diffusion in the Kraichnan model and …

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Kraichnan's model of passive scalar advection in which the driving velocity field has fast temporal decorrelation is studied as a case model for understanding the appearance of anomalous scaling in turbulent systems. We demonstrate how the…

chao-dyn · 物理学 2016-08-31 A. Fairhall , O. Gat , V. S. L'vov , I. Procaccia

We consider the advection of a passive scalar by a divergence free random Gaussian field, white in time and H\"older regular in space (rough Kraichnan's model), a well established synthetic model of passive scalar turbulence. By studying…

概率论 · 数学 2024-07-24 Lucio Galeati , Francesco Grotto , Mario Maurelli

Anomalous diffusion is the fundamental ansatz of phenomenological theories of passive scalar turbulence, and has been confirmed numerically and experimentally to an extraordinary extent. The purpose of this survey is to discuss our recent…

偏微分方程分析 · 数学 2025-09-05 Scott Armstrong , Vlad Vicol

The anomalous scaling in the Kraichnan model of advection of the passive scalar by a random velocity field with non-smooth spatial behavior is traced down to the presence of slow resonance-type collective modes of the stochastic evolution…

凝聚态物理 · 物理学 2023-04-10 Denis Bernard , Krzysztof Gawedzki , Antti Kupiainen

A generalization to the Kraichnan gaussian, white noise in time model of turbulent velocity field is proposed. The generalization is designed to take into account the effects of stratification in the atmospheric boundary layer by…

混沌动力学 · 物理学 2011-04-05 Heikki Arponen

We study anomalous dissipation in hydrodynamic turbulence in the context of passive scalars. Our main result produces an incompressible $C^\infty([0,T)\times \mathbb{T}^d)\cap L^1([0,T]; C^{1-}(\mathbb{T}^d))$ velocity field which…

偏微分方程分析 · 数学 2020-02-04 Theodore D. Drivas , Tarek M. Elgindi , Gautam Iyer , In-Jee Jeong

The asymptotic decay of passive scalar fields is solved analytically for the Kraichnan model, where the velocity has a short correlation time. At long times, two universality classes are found, both characterized by a distribution of the…

混沌动力学 · 物理学 2009-10-31 M. Chaves , G. Eyink , U. Frisch , M. Vergassola

An exact relation is derived between scalar dissipation due to molecular diffusivity and the randomness of stochastic Lagrangian trajectories for flows without bounding walls. This "Lagrangian fluctuation-dissipation relation" equates the…

流体动力学 · 物理学 2017-10-13 Theodore D. Drivas , Gregory L. Eyink

The Obukhov-Corrsin theory of scalar turbulence [Obu49, Cor51] advances quantitative predictions on passive-scalar advection in a turbulent regime and can be regarded as the analogue for passive scalars of Kolmogorov's K41 theory of fully…

偏微分方程分析 · 数学 2023-09-25 Maria Colombo , Gianluca Crippa , Massimo Sorella

We consider advection of a passive scalar theta(t,r) by an incompressible large-scale turbulent flow. In the framework of the Kraichnan model the whole PDF's (probability distribution functions) for the single-point statistics of theta and…

chao-dyn · 物理学 2009-10-31 I. Kolokolov , V. Lebedev , M. Stepanov

We consider passive scalar convected by multi-scale random velocity field with short yet finite temporal correlations. Taking Kraichnan's limit of a white Gaussian velocity as a zero approximation we develop perturbation theory with respect…

chao-dyn · 物理学 2009-10-28 M. Chertkov , G. Falkovich , V. Lebedev

We analyze multi-point correlation functions of a tracer in an incompressible flow at scales far exceeding the scale $L$ at which fluctuations are generated (quasi-equilibrium domain) and compare them with the correlation functions at…

混沌动力学 · 物理学 2009-11-11 Gregory Falkovich , Alexander Fouxon

We study the long time behavior of an advection-diffusion equation with a random shear flow which depends on a stationary Ornstein-Uhlenbeck (OU) process in parallel-plate channels enforcing the no-flux boundary conditions. We derive a…

偏微分方程分析 · 数学 2020-12-15 Lingyun Ding , Richard M. McLaughlin

The anomalous scaling behavior of the n-th order correlation functions ${\cal F}_n$ of the Kraichnan model of turbulent passive scalar advection is believed to be dominated by the homogeneous solutions (zero-modes) of the Kraichnan equation…

chao-dyn · 物理学 2016-08-31 Omri Gat , Victor S. L'vov , Evgenii Podivilov , Itamar Procaccia

We provide the leading behavior at large wavenumbers of the two-point correlation function of a scalar field passively advected by a turbulent flow. We first consider the Kraichnan model, in which the turbulent carrier flow is modeled by a…

流体动力学 · 物理学 2024-08-29 Carlo Pagani , Léonie Canet

We derive here Lagrangian fluctuation-dissipation relations for advected scalars in wall-bounded flows. The relations equate the dissipation rate for either passive or active scalars to the variance of scalar inputs from the initial values,…

流体动力学 · 物理学 2017-10-13 Theodore D. Drivas , Gregory L. Eyink

A shell-model version of Kraichnan's (1994 {\it Phys. Rev. Lett. \bf 72}, 1016) passive scalar problem is introduced which is inspired from the model of Jensen, Paladin and Vulpiani (1992 {\it Phys. Rev. A\bf 45}, 7214). As in the original…

chao-dyn · 物理学 2009-10-28 A. Wirth , L. Biferale

Statistical properties of $d$-dimensional incompressible flows with and without cylindrical reduction are studied, leading to several explanations and conjectures about turbulent flows and passive scalars, such as the de-correlation between…

流体动力学 · 物理学 2019-03-01 Jian-Zhou Zhu

Kraichnan's model of passive scalar advection is studied as a case model for understanding the anomalous scaling in the anisotropic sectors. We show here that the solutions of the Kraichnan equation for the $n$ order correlations foliate…

chao-dyn · 物理学 2007-05-23 Itai Arad Victor S. L'vov , Evgenii Podivilov , Itamar Procaccia

We have investigated the advection of a passive scalar quantity by incompressible helical turbulent flow in the frame of extended Kraichnan model. Turbulent fluctuations of velocity field are assumed to have the Gaussian statistics with…

混沌动力学 · 物理学 2009-11-11 O. G. Chkhetiani , M. Hnatich , E. Jurcisinova , M. Jurcisin , A. Mazzino , M. Repasan
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