Multiscaling in passive scalar advection as stochastic shape dynamics
arXiv:cond-mat/9711034 · doi:10.1103/PhysRevE.57.5511
Abstract
The Kraichnan rapid advection model is recast as the stochastic dynamics of tracer trajectories. This framework replaces the random fields with a small set of stochastic ordinary differential equations. Multiscaling of correlation functions arises naturally as a consequence of the geometry described by the evolution of N trajectories. Scaling exponents and scaling structures are interpreted as excited states of the evolution operator. The trajectories become nearly deterministic in high dimensions allowing for perturbation theory in this limit. We calculate perturbatively the anomalous exponent of the third and fourth order correlation functions. The fourth order result agrees with previous calculations.
14 pages, LaTeX
Cited by in corpus (13)
- Particles and fields in fluid turbulence
- Anisotropy in Turbulent Flows and in Turbulent Transport
- Intermittency in passive scalar advection
- Statistical geometry in scalar turbulence
- Statistical conservation laws in turbulent transport
- The passive polymer problem
- Statistically Preserved Structures in Shell Models of Passive Scalar Advection
- Passive scalar intermittency in compressible flow
- Statistics of active vs. passive advections in magnetohydrodynamic turbulence
- Triangular Constellations in Fractal Measures
- A model for the shapes of advected triangles
- Lagrangian dispersion in Gaussian self-similar ensembles
- Particle transport in a random velocity field with Lagrangian statistics