Variational principles for fully coupled stochastic fluid dynamics across scales

TL;DR

This paper develops a variational framework for modeling stochastic fluid dynamics across scales, capturing the interaction between large-scale flow and small-scale stochastic processes through coupled equations.

Contribution

It introduces a new variational principle that couples noise dynamics with large-scale fluid motion, providing a comprehensive stochastic modeling approach for multi-scale fluid behavior.

Findings

Small-scale velocity governed by a linearized Euler equation with random coefficients

Framework captures stochastic effects on large-scale fluid dynamics

Connections made with existing stochastic fluid models

Abstract

This work investigates variational frameworks for modeling stochastic dynamics in incompressible fluids, focusing on large-scale fluid behavior alongside small-scale stochastic processes. The authors aim to develop a coupled system of equations that captures both scales, using a variational principle formulated with Lagrangians defined on the full flow, and incorporating stochastic transport constraints. The approach smooths the noise term along time, leading to stochastic dynamics as a regularization parameter approaches zero. Initially, fixed noise terms are considered, resulting in a generalized stochastic Euler equation, which becomes problematic as the regularization parameter diminishes. The study then examines connections with existing stochastic frameworks and proposes a new variational principle that couples noise dynamics with large-scale fluid motion. This comprehensive framework provides a stochastic representation of large-scale dynamics while accounting for fine-scale components. Our main result is that the evolution of the small-scale velocity component is governed by a linearized Euler equation with random coefficients, influenced by large-scale transport, stretching, and pressure forcing.