We consider a stochastic interacting particle system in a bounded domain with reflecting boundary, including creation of new particles on the boundary prescribed by a given source term. We show that such particle system approximates 2D Navier-Stokes equations in vorticity form and impermeable boundary, the creation of particles modeling vorticity creation at the boundary. Kernel smoothing, more specifically smoothing by means of the Neumann heat semigroup on the space domain, allows to establish uniform convergence of regularized empirical measures to (weak solutions of) Navier-Stokes equations.

Uniform approximation of 2D Navier-Stokes equations with vorticity creation by stochastic interacting particle systems

Luongo, Eliseo;
2023

Abstract

We consider a stochastic interacting particle system in a bounded domain with reflecting boundary, including creation of new particles on the boundary prescribed by a given source term. We show that such particle system approximates 2D Navier-Stokes equations in vorticity form and impermeable boundary, the creation of particles modeling vorticity creation at the boundary. Kernel smoothing, more specifically smoothing by means of the Neumann heat semigroup on the space domain, allows to establish uniform convergence of regularized empirical measures to (weak solutions of) Navier-Stokes equations.
2023
Settore MAT/06 - Probabilita' e Statistica Matematica
2D Navier-Stokes equations; reflecting boundary; stochastic interacting particle system; vorticity equation; vortex method; propagation; boundary; chaos
File in questo prodotto:
File Dimensione Formato  
Uniform_approximation_2023.pdf

accesso aperto

Tipologia: Published version
Licenza: Creative Commons
Dimensione 458.96 kB
Formato Adobe PDF
458.96 kB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11384/142288
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 3
  • ???jsp.display-item.citation.isi??? 2
  • OpenAlex ND
social impact