On Functional and Holographic Renormalization Group Methods in Stochastic Theory of Turbulence
S.L. Ogarkov

TL;DR
This paper develops and compares functional and holographic renormalization group methods for a quantum-field model of turbulence, deriving explicit solutions for two-particle Green's functions with minimal dependence on forcing details.
Contribution
It introduces a nonlocal quantum-field model for turbulence and derives explicit two-particle Green's function solutions using both FRG and HRG methods, highlighting their equivalence and differences.
Findings
Explicit solutions for two-particle Green's functions using holographic methods.
Demonstration of minimal dependence of solutions on forcing correlator.
Analysis of the relationship between FRG and HRG approaches in turbulence modeling.
Abstract
A nonlocal quantum-field model is constructed for the system of hydrodynamic equations for incompressible viscous fluid (the stochastic Navier--Stokes (NS) equation and the continuity equation). This model is studied by the following two mutually parallel methods: the Wilson--Polchinski functional renormalization group method (FRG), which is based on the exact functional equation for the generating functional of amputated connected Green's functions (ACGF), and the Heemskerk--Polchinski holographic renormalization group method (HRG), which is based on the functional Hamilton--Jacobi (HJ) equation for the holographic boundary action. Both functional equations are equivalent to infinite hierarchies of integro-differential equations (coupled in the FRG case) for the corresponding families of Green's functions (GF). The RG-flow equations can be derived explicitly for two-particle functions.…
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Taxonomy
TopicsCosmology and Gravitation Theories · Fluid Dynamics and Turbulent Flows · Black Holes and Theoretical Physics
