Quantitative ergodicity for some switched dynamical systems

By M. Benaim, St'ephane Le Borgne, Florent Malrieu, Pierre-André Zitt. 2012

86 citations recorded by the source corpus.

We provide quantitative bounds for the long time behavior of a class of Piecewise Deterministic Markov Processes with state space $\mathbb{R}^d\times E$ where $E$ is a finite set. The continous component evolves according to a smooth vector field that it switched at the jump times of the discrete coordinate. The jump rates may depend on the whole position of the process. Under regularity assumptions on the jump rates and stability conditions for the vector fields we provide explicit exponential upper bounds for the convergence to equilibrium in terms of Wasserstein distances.

Subfields: Finance, Molecular Biology, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/f9c4965fad73242edaeb2657380daa92543ba3de

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Finance

  1. M. Benaim
  2. Florent Malrieu
  3. Pierre-André Zitt
  4. Jonathan C. Mattingly
  5. Jinghai Shao
  6. St'ephane Le Borgne
  7. Martin Hairer
  8. Arnaud Debussche

In Molecular Biology

  1. M. Benaim
  2. Pierre-André Zitt
  3. Jinghai Shao
  4. Claude Lobry

In Statistics and Probability

  1. M. Benaim
  2. Jinghai Shao
  3. Florent Malrieu
  4. Pierre-André Zitt
  5. Jonathan C. Mattingly
  6. Martin Hairer
  7. Claude Lobry
  8. Daniel Lacker

Citations in the corpus