Dynamical Fractional and Multifractal Fields
arXiv:2107.03309 · doi:10.1007/s10955-021-02867-2
Abstract
Motivated by the modeling of three-dimensional fluid turbulence, we define and study a class of stochastic partial differential equations (SPDEs) that are randomly stirred by a spatially smooth and uncorrelated in time forcing term. To reproduce the fractional, and more specifically multifractal, regularity nature of fully developed turbulence, these dynamical evolutions incorporate an homogenous pseudo-differential linear operator of degree 0 that takes care of transferring energy that is injected at large scales in the system, towards smaller scales according to a cascading mechanism. In the simplest situation which concerns the development of fractional regularity in a linear and Gaussian framework, we derive explicit predictions for the statistical behaviors of the solution at finite and infinite time. Doing so, we realize a cascading transfer of energy using linear, although non local, interactions. These evolutions can be seen as a stochastic version of recently proposed systems of forced waves intended to model the regime of weak wave turbulence in stratified and rotational flows. To include multifractal, i.e. intermittent, corrections to this picture, we get some inspiration from the Gaussian multiplicative chaos, which is known to be multifractal, to motivate the introduction of an additional quadratic interaction in these dynamical evolutions. Because the theoretical analysis of the obtained class of nonlinear SPDEs is much more demanding, we perform numerical simulations and observe the non-Gaussian and in particular skewed nature of their solution.
arXiv comment40 pages, 2 figures, some remarks added, published version
References in corpus (24)
- A multifractal random walk
- Log-infinitely divisible multifractal processes
- Long time correlations in Lagrangian dynamics: a key to intermittency in turbulence
- Stochastic equations generating continuous multiplicative cascades
- Analytic Study of Shell Models of Turbulence
- Energy cascade in internal wave attractors
- A phenomenological theory of Eulerian and Lagrangian velocity fluctuations in turbulent flows
- Non-linear fate of internal wave attractors
- Reynolds number effect on the velocity increment skewness in isotropic turbulence
- A dissipative random velocity field for fully developed fluid turbulence
- A Stochastic Representation of the Local Structure of Turbulence
- Hydrodynamic turbulence and intermittent random fields
- Regularized fractional Ornstein-Uhlenbeck processes, and their relevance to the modeling of fluid turbulence
- Microlocal analysis of forced waves
- Smooth solutions for the dyadic model
- Spectral theory of pseudo-differential operators of degree 0 and application to forced linear waves
- Simple Systems with Anomalous Dissipation and Energy Cascade
- Levy multiplicative chaos and star scale invariant random measures
- A dyadic model on a tree
- Continuous representation for shell models of turbulence
- Statistics of Fourier Modes of Velocity and Vorticity in Turbulent Flows : Intermittency and Long-Range Correlations
- Structure function and fractal dissipation for an intermittent inviscid dyadic model
- Space-time statistics of a linear dynamical energy cascade model
- Multifractal Fractional Ornstein-Uhlenbeck Processes