Functional renormalisation group for turbulence
L\'eonie Canet

TL;DR
This paper surveys the application of the functional renormalisation group (FRG) to turbulence, highlighting its ability to derive exact multi-point correlation functions and describe large-scale forced turbulence.
Contribution
It introduces the FRG framework for turbulence, enabling non-perturbative analysis and systematic exploitation of symmetries, advancing the theoretical understanding of turbulent flows.
Findings
Derivation of exact analytical expressions for multi-point correlation functions at large wavenumbers.
Description of turbulence forced at large scales using FRG, inaccessible by perturbative methods.
Analysis of experimental and numerical data supporting FRG predictions.
Abstract
Turbulence is a complex nonlinear and multi-scale phenomenon. Although the fundamental underlying Navier-Stokes equations have been known for two centuries, it remains extremely challenging to extract from them the statistical properties of turbulence. Therefore, for practical purpose, a sustained effort has been devoted to obtaining some effective description of turbulence, that we may call turbulence modelling, or statistical theory of turbulence. In this respect, the Renormalisation Group (RG) appears as a tool of choice, since it is precisely designed to provide effective theories from fundamental equations by performing in a systematic way the average over fluctuations. However, for Navier-Stokes turbulence, a suitable framework for the RG, allowing in particular for non-perturbative approximations, have been missing, which has thwarted for long RG applications. This framework is…
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