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相关论文: Anomalous Regularization in Kraichnan's Passive Sc…

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In this work we show that under specific anomalous diffusion conditions, chemical systems can produce well-ordered self-similar concentration patterns through a diffusion-driven instability. We also find spiral patterns and patterns with…

斑图形成与孤子 · 物理学 2017-02-22 D. Hernández , E. C. Herrera-Hernández , M. Núñez-López , H. Hernández-Coronado

We consider the negative regularity mixing properties of random volume preserving diffeomorphisms on a compact manifold without boundary. We give general criteria so that the associated random transfer operator mixes $H^{-\delta}$…

偏微分方程分析 · 数学 2024-10-28 Jacob Bedrossian , Patrick Flynn , Sam Punshon-Smith

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.…

混沌动力学 · 物理学 2009-10-31 Andrea Mazzino , Paolo Muratore-Ginanneschi

We prove strong well-posedness results for the stochastic 2D Euler equations in vorticity form and generalized SQG equations, with $L^p$ initial data and driven by a spatially rough, incompressible transport noise of Kraichnan type.…

概率论 · 数学 2026-01-12 Marco Bagnara , Lucio Galeati

Rotating shear flows, when angular momentum increases and angular velocity decreases as functions of radiation coordinate, are hydrodynamically stable under linear perturbation. The Keplerian flow is an example of such systems which appears…

高能天体物理现象 · 物理学 2015-05-27 Banibrata Mukhopadhyay , Ranchu Mathew , Soumyendu Raha

We study the spatio-temporal two-point correlation function of passively advected scalar fields in the inertial-convective range in three dimensions by means of numerical simulations. We show that at small time delays $t$ the correlations…

流体动力学 · 物理学 2024-08-29 Anastasiia Gorbunova , Carlo Pagani , Guilaume Balarac , Léonie Canet , Vincent Rossetto

For scalar field theory, a new generalization of the Exact RG to curved space is proposed, in which the conformal anomaly is explicitly present. Vacuum terms require regularization beyond that present in the canonical formulation of the…

高能物理 - 理论 · 物理学 2022-03-01 Oliver J. Rosten

It is shown that the description of anomalous scaling in turbulent systems requires the simultaneous use of two normalization scales. This phenomenon stems from the existence of two independent (infinite) sets of anomalous scaling exponents…

chao-dyn · 物理学 2009-10-28 Victor L'vov , Evgenii Podivilov , Itamar Procaccia

We study the two-point correlation function of a freely decaying scalar in Kraichnan's model of advection by a Gaussian random velocity field, stationary and white-noise in time but fractional Brownian in space with roughness exponent…

chao-dyn · 物理学 2007-05-23 G. Eyink , J. Xin

We study the dynamic scaling hypothesis in invariant surface growth. We show that the existence of power-law scaling of the correlation functions (scale invariance) does not determine a unique dynamic scaling form of the correlation…

统计力学 · 物理学 2009-10-31 JJ Ramasco , JM Lopez , MA Rodriguez

Passive scalar equation is considered in a turbulent homogeneous incompressible Gaussian velocity field. The turbulent nature of the field results in non-smooth coefficients in the equation. A strong, in the stochastic sense, solution of…

数学物理 · 物理学 2007-05-23 S. V. Lototsky , B. L. Rozovskii

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

We study effects of random fluid motion on a system in a self-organized critical state. The latter is described by the continuous stochastic model, proposed by Hwa and Kardar [{\it Phys. Rev. Lett.} {\bf 62}: 1813 (1989)]. The advecting…

统计力学 · 物理学 2016-02-11 N. V. Antonov , P. I. Kakin

We explain the ubiquity and extremely slow evolution of non gaussian out-of-equilibrium distributions for the Hamiltonian Mean-Field model, by means of traditional kinetic theory. Deriving the Fokker-Planck equation for a test particle, one…

统计力学 · 物理学 2009-11-10 Freddy Bouchet , Thierry Dauxois

Series of lectures on statistical turbulence written for amateurs but not experts. Elementary aspects and problems of turbulence in two and three dimensional Navier-Stokes equation are introduced. A few properties of scalar turbulence and…

凝聚态物理 · 物理学 2007-05-23 Denis Bernard

We demonstrate via several examples that a uniform drift velocity gives rise to anomalous aging, characterized by a specific form for the two-time correlation functions, in a variety of statistical-mechanical systems far from equilibrium.…

统计力学 · 物理学 2009-10-31 J. M. Luck , Anita Mehta

The field theoretic renormalization group and the operator product expansion are applied to the model of passive vector (magnetic) field advected by a random turbulent velocity field. The latter is governed by the Navier--Stokes equation…

统计力学 · 物理学 2015-12-01 N. V. Antonov , M. M. Kostenko

We present results from direct numerical simulations of the Kraichnan model for passive scalar advection by a rapidly-varying random scaling velocity field for intermediate values of the velocity scaling exponent. These results are compared…

chao-dyn · 物理学 2009-10-30 Adrienne L. Fairhall , Barak Galanti , Victor S. L'vov , Itamar Procaccia

We study the Lagrangian flow associated to velocity fields arising from various models of fluid mechanics subject to white-in-time, $H^s$-in-space stochastic forcing in a periodic box. We prove that in many circumstances, these flows are…

偏微分方程分析 · 数学 2018-09-19 Jacob Bedrossian , Alex Blumenthal , Samuel Punshon-Smith

We consider turbulent advection of a scalar field $T(\B.r)$, passive or active, and focus on the statistics of gradient fields conditioned on scalar differences $\Delta T(R)$ across a scale $R$. In particular we focus on two conditional…

chao-dyn · 物理学 2009-10-28 Emily S. C. Ching , Victor S. L'vov , Evgeni Podivilov , Itamar Procaccia