Existence and stability for Fokker–Planck equations with log-concave reference measure

By Luigi Ambrosio, Giuseppe Savar'e, L. Zambotti. Probability theory and related fields, 2007

118 citations recorded by the source corpus.

We study Markov processes associated with stochastic differential equations, whose non-linearities are gradients of convex functionals. We prove a general result of existence of such Markov processes and a priori estimates on the transition probabilities. The main result is the following stability property: if the associated invariant measures converge weakly, then the Markov processes converge in law. The proofs are based on the interpretation of a Fokker–Planck equation as the steepest descent flow of the relative entropy functional in the space of probability measures, endowed with the Wasserstein distance.

Subfields: Applied Mathematics, Finance, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/31bc6e372c12978e16f6bdd1242b217dd2eb010f

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

In Applied Mathematics

  1. Matthias Erbar
  2. Jan Maas
  3. Luigi Ambrosio
  4. Nicola Gigli
  5. Dario Trevisan
  6. Andrea Mondino
  7. Karl‐Theodor Sturm
  8. Martin Huesmann

In Finance

  1. Dario Trevisan
  2. Karl‐Theodor Sturm
  3. Luigi Ambrosio
  4. Jinghai Shao
  5. Martin Huesmann
  6. Xicheng Zhang
  7. Tusheng Zhang
  8. Michael Röckner

In Statistics and Probability

  1. Karl‐Theodor Sturm
  2. Jan Maas
  3. Luigi Ambrosio
  4. Jinghai Shao
  5. Martin Huesmann

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