activity
20002023
most citedWell-posedness of the transport equation by stochastic perturbation

413 citations · 1.5k across the 79 of their papers we have counts for

collaborators
Showing math.PRShow all

64 papers · 1 filter

math.PR2023

Stochastic transport by Gaussian noise

Franco Flandoli, Francesco Russo

Diffusion with stochastic transport is investigated here when the random driving process is a very general Gaussian process, including Fractional Brownian motion. The purpose is th…

math.PR2023★ 8 cited

On the Boussinesq hypothesis for a stochastic Proudman-Taylor model

Franco Flandoli, Dejun Luo

We introduce a stochastic version of Proudman-Taylor model, a 2D-3C fluid approximation of the 3D Navier-Stokes equations, with the small-scale turbulence modeled by a transport-st…

math.PR2023

2D Smagorinsky type large eddy models as limits of stochastic PDEs

Franco Flandoli, Dejun Luo, Eliseo Luongo

We prove that a version of Smagorinsky Large Eddy model for a 2D fluid in vorticity form is the scaling limit of suitable stochastic models for large scales, where the influence of…

math.PR2022★ 3 cited

Noise based on vortex structures in 2D and 3D

Franco Flandoli, Ruojun Huang

A new noise, based on vortex structures in 2D (point vortices) and 3D (vortex filaments), is introduced. It is defined as the scaling limit of a jump process which explores vortex…

math.PR2021

Coagulation dynamics under environmental noise: scaling limit to SPDE

Franco Flandoli, Ruojun Huang

We prove that a system of locally interacting diffusions carrying discrete masses, subject to an environmental noise and undergoing mass coagulation, converges to a system of Stoch…

math.PR2021★ 32 cited

From additive to transport noise in 2D fluid dynamics

Franco Flandoli, Umberto Pappalettera

Additive noise in Partial Differential equations, in particular those of fluid mechanics, has relatively natural motivations. The aim of this work is showing that suitable multisca…

math.PR2021★ 21 cited

Quantitative convergence rates for scaling limit of SPDEs with transport noise

Franco Flandoli, Lucio Galeati, Dejun Luo

We consider on the torus the scaling limit of stochastic 2D (inviscid) fluid dynamical equations with transport noise to deterministic viscous equations. Quantitative estimates on…

math.PR2021★ 3 cited

Mean field limit of point vortices with environmental noises to deterministic 2D Navier-Stokes equations

Franco Flandoli, Dejun Luo

We consider point vortex systems on the two dimensional torus perturbed by environmental noise. It is shown that, under a suitable scaling of the noises, weak limit points of the e…

math.PR2021★ 33 cited

2D Euler equations with Stratonovich transport noise as a large scale stochastic model reduction

Franco Flandoli, Umberto Pappalettera

The limit from an Euler type system to the 2D Euler equations with Stratonovich transport noise is investigated. A weak convergence result for the vorticity field and a strong conv…

math.PR2021

The KPP equation as a scaling limit of locally interacting Brownian particles

Franco Flandoli, Ruojun Huang

Fisher-KPP equation is proved to be the scaling limit of a system of Brownian particles with local interaction. Particles proliferate and die depending on the local concentration o…

math.PR2020

An Example of Intrinsic Randomness in Deterministic PDEs

Franco Flandoli, Benjamin Gess, Francesco Grotto

A new mechanism leading to a random version of Burgers' equation is introduced: it is shown that the Totally Asymmetric Exclusion Process in discrete time (TASEP) can be understood…

math.PR2020★ 1 cited

Stochastic model reduction: convergence and applications to climate equations

Sigurd Assing, Franco Flandoli, Umberto Pappalettera

We study stochastic model reduction for evolution equations in infinite dimensional Hilbert spaces, and show the convergence to the reduced equations via abstract results of Wong-Z…

math.PR2020★ 2 cited

Numerical computation of probabilities for nonlinear SDEs in high dimension using Kolmogorov equation

Franco Flandoli, Dejun Luo, Cristiano Ricci

Stochastic Differential Equations (SDEs) in high dimension, having the structure of finite dimensional approximation of Stochastic Partial Differential Equations (SPDEs), are consi…

math.PR2020

Delayed blow-up by transport noise

Franco Flandoli, Lucio Galeati, Dejun Luo

For some deterministic nonlinear PDEs on the torus whose solutions may blow up in finite time, we show that, under suitable conditions on the nonlinear term, the blow-up is delayed…

math.PR2020

Epidemic Models as Scaling Limits of Individual Dynamics

Franco Flandoli, Francesco Grotto, Andrea Papini +1

Infection spread among individuals is modelled with a continuous time Markov chain, in which subject interactions depend on their distance in space. The well known SIR model and no…

math.PR2020★ 2 cited

On the relation between the Girsanov transform and the Kolmogorov equations for SPDEs

Franco Flandoli, Dejun Luo, Cristiano Ricci

The Girsanov transform and Kolmogorov equations are two useful methods for studying SPDEs. It is shown that, under suitable conditions, the series expansion obtained from the Girsa…

math.PR2020

On the Macroscopic limit of Brownian Particles with local interaction

Franco Flandoli, Marta Leocata, Cristiano Ricci

An interacting particle system made of diffusion processes with local interaction is considered and the macroscopic limit to a nonlinear PDE is investigated. Few rigorous results e…

math.PR2020★ 26 cited

Global well-posedness of the 3D Navier--Stokes equations perturbed by a deterministic vector field

Franco Flandoli, Martina Hofmanová, Dejun Luo +1

We are concerned with the problem of global well-posedness of the 3D Navier--Stokes equations on the torus with unitary viscosity. While a full answer to this question seems to be…

math.PR2020★ 1 cited

Uniform approximation of 2 Navier-Stokes equation by stochastic interacting particle systems

Franco Flandoli, Christian Olivera, Marielle Simon

We consider an interacting particle system modeled as a system of stochastic differential equations driven by Brownian motions. We prove that the (mollified) empirical process…

math.PR2020★ 26 cited

Stochastic Navier-Stokes Equations and Related Models

Luigi Amedeo Bianchi, Franco Flandoli

Regularization by noise for certain classes of fluid dynamic equations, a theme dear to Giuseppe Da Prato (see G. Da Prato and A. Debussche, Ergodicity for the 3D stochastic Navier…

math.PR2019★ 78 cited

High mode transport noise improves vorticity blow-up control in 3D Navier-Stokes equations

Franco Flandoli, Dejun Luo

The paper is devoted to the open problem of regularization by noise of 3D Navier-Stokes equations. Opposite to several attempts made with additive noise which remained inconclusive…

math.PR2019

A numerical approach to Kolmogorov equation in high dimension based on Gaussian analysis

Franco Flandoli, Dejun Luo, Cristiano Ricci

For Kolmogorov equations associated to finite dimensional stochastic differential equations (SDEs) in high dimension, a numerical method alternative to Monte Carlo simulations is p…

math.PR2019★ 7 cited

Fokker-Planck equation for dissipative 2D Euler equations with cylindrical noise

Franco Flandoli, Francesco Grotto, Dejun Luo

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 o…

math.PR2019★ 4 cited

Scaling limit of stochastic 2D Euler equations with transport noises to the deterministic Navier-Stokes equations

Franco Flandoli, Lucio Galeati, Dejun Luo

We consider a family of stochastic 2D Euler equations in vorticity form on the torus, with transport type noises and -initial data. Under a suitable scaling of the noises, we…