Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Preprints and Working Papers
  4. A probabilistic argument for the controllability of conservative systems
 
preprint

A probabilistic argument for the controllability of conservative systems

Hairer, Martin  
June 24, 2005

We consider controllability for divergence-free systems that have a conserved quantity and satisfy a H"ormander condition. It is shown that such systems are controllable, provided that the conserved quantity is a proper function. The proof of the result combines analytic tools with probabilistic arguments. While this statement is well-known in geometric control theory, the probabilistic proof given in this note seems to be new. We show that controllability follows from H"ormander’s condition, together with the a priori knowledge of an invariant measure with full topological support for a diffusion that ‘implements’ the control system. Examples are given that illustrate the relevance of the assumptions required for the result to hold. Applications of the result to ergodicity questions for systems arising from non-equilibrium statistical mechanics and to the controllability of Galerkin approximations to the Euler equations are also given.

  • Files
  • Details
  • Metrics
Type
preprint
DOI
10.48550/arXiv.math-ph/0506064
ArXiv ID

math-ph/0506064v2

Author(s)
Hairer, Martin  
Date Issued

2005-06-24

Publisher

arXiv

Subjects

Mathematical Physics

Written at

OTHER

EPFL units
PROPDE  
Available on Infoscience
September 20, 2024
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/241333
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés