Abstract:Gaussian measures μ β,ν are associated to some stochastic 2D models of turbulence. They are Gibbs measures constructed by means of an invariant quantity of the system depending on some parameter β (related to the 2D nature of the fluid) and the viscosity ν. We prove the existence and the uniqueness of the global flow for the stochastic viscous system; moreover the measure μ β,ν is invariant for this flow and is the unique invariant measure. Finally, we prove that the deterministic inviscid equation has a μ β,ν… Show more
“…Even the expectation for the velocity field is not defined, and most of the realization do not lead to a physical velocity field. This is related to some of the mathematical results in [6]. These remarks give a negative answer to the first question.…”
Section: Discussionmentioning
confidence: 95%
“…This equation is a transversality property between the the vector field F and the gradient of the potential G. These two hypotheses, Liouville (5) and the conservation of the potential (6), are verified if the dynamical system is Hamiltonian:…”
Section: Langevin Dynamics and Equilibrium Instantonsmentioning
confidence: 86%
“…We first define Langevin dynamics in subsection II A, as stochastic, ordinary or partial, differential equations, for which the deterministic part is composed of a vector field with a Liouville property (conservation of phase space volume, Eq. ( 5)) plus a potential force with potential G. The conservative part of the dynamics are assumed to be transverse to the gradient of the potential (6). The stochastic force is defined as the derivative of a Brownian process, with a correlation function identical to that of the kernel of the potential force.…”
Section: Langevin Dynamics and Equilibrium Instantonsmentioning
confidence: 99%
“…What are the necessary and sufficient conditions for the formal computations performed in this work to be mathematically founded? Some of these questions are related to recent advances in the mathematics of stochastic partial differential equations [6,7,27,33,34,37,38]. Again, these aspects are further discussed in the conclusion.…”
We investigate a class of simple models for Langevin dynamics of turbulent flows, including the one-layer quasi-geostrophic equation and the two-dimensional Euler equations. Starting from a path integral representation of the transition probability, we compute the most probable fluctuation paths from one attractor to any state within its basin of attraction. We prove that such fluctuation paths are the time reversed trajectories of the relaxation paths for a corresponding dual dynamics, which are also within the framework of quasi-geostrophic Langevin dynamics. Cases with or without detailed balance are studied. We discuss a specific example for which the stationary measure displays either a second order (continuous) or a first order (discontinuous) phase transition and a tricritical point. In situations where a first order phase transition is observed, the dynamics are bistable. Then, the transition paths between two coexisting attractors are instantons (fluctuation paths from an attractor to a saddle), which are related to the relaxation paths of the corresponding dual dynamics. For this example, we show how one can analytically determine the instantons and compute the transition probabilities for rare transitions between two attractors.
“…Even the expectation for the velocity field is not defined, and most of the realization do not lead to a physical velocity field. This is related to some of the mathematical results in [6]. These remarks give a negative answer to the first question.…”
Section: Discussionmentioning
confidence: 95%
“…This equation is a transversality property between the the vector field F and the gradient of the potential G. These two hypotheses, Liouville (5) and the conservation of the potential (6), are verified if the dynamical system is Hamiltonian:…”
Section: Langevin Dynamics and Equilibrium Instantonsmentioning
confidence: 86%
“…We first define Langevin dynamics in subsection II A, as stochastic, ordinary or partial, differential equations, for which the deterministic part is composed of a vector field with a Liouville property (conservation of phase space volume, Eq. ( 5)) plus a potential force with potential G. The conservative part of the dynamics are assumed to be transverse to the gradient of the potential (6). The stochastic force is defined as the derivative of a Brownian process, with a correlation function identical to that of the kernel of the potential force.…”
Section: Langevin Dynamics and Equilibrium Instantonsmentioning
confidence: 99%
“…What are the necessary and sufficient conditions for the formal computations performed in this work to be mathematically founded? Some of these questions are related to recent advances in the mathematics of stochastic partial differential equations [6,7,27,33,34,37,38]. Again, these aspects are further discussed in the conclusion.…”
We investigate a class of simple models for Langevin dynamics of turbulent flows, including the one-layer quasi-geostrophic equation and the two-dimensional Euler equations. Starting from a path integral representation of the transition probability, we compute the most probable fluctuation paths from one attractor to any state within its basin of attraction. We prove that such fluctuation paths are the time reversed trajectories of the relaxation paths for a corresponding dual dynamics, which are also within the framework of quasi-geostrophic Langevin dynamics. Cases with or without detailed balance are studied. We discuss a specific example for which the stationary measure displays either a second order (continuous) or a first order (discontinuous) phase transition and a tricritical point. In situations where a first order phase transition is observed, the dynamics are bistable. Then, the transition paths between two coexisting attractors are instantons (fluctuation paths from an attractor to a saddle), which are related to the relaxation paths of the corresponding dual dynamics. For this example, we show how one can analytically determine the instantons and compute the transition probabilities for rare transitions between two attractors.
“…The 2D Euler equations with additive noise, possibly including friction, their corresponding stationary solutions and invariant measures had already been considered before. However, the space regularity of noise is such that solutions are function-valued, not distributions and invariant measures are supported on spaces of functions: we refer for instance to [11,19,8,12,21,44,9,43,10], and also to other related results in [52,53,32]. Many of those models and results are inspired by the open problem of turbulence (iii); in connection with this question and the previous references we also mention [14,46,37].…”
After a short review of recent progresses in 2D Euler equations with random initial conditions and noise, some of the recent results are improved by exploiting a priori estimates on the associated infinite dimensional Fokker-Planck equation. The regularity class of solutions investigated here does not allow energyor enstrophy-type estimates, but only bounds in probability with respect to suitable distributions of the initial conditions. This is a remarkable application of Fokker-Planck equations in infinite dimensions. Among the example of random initial conditions we consider Gibbsian measures based on renormalized kinetic energy.
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