We aim at presenting some aspects of stochastic calculus via regularization
in relation with integrator processes which are generally not semimartingales.
Significant examples of those processes are Dirichlet processes, Lyons-Zheng
processes and fractional (resp. bifractional) Brownian motion. A Dirichlet
process X is the sum of a local martingale M and a zero quadratic variation
process A. We will put the emphasis on a generalization of Dirichlet processes.
A weak Dirichlet process is the sum of local martingale M and a process A such
that [A,N] = 0 where N is any martingale with respect to an underlying
filtration. Obviously a Dirichlet process is a weak Dirichlet process. We will
illustrate partly the following application fields.
Analysis of stochastic integrals related to fluidodynamical models considered
for instance by A. Chorin, F. Flandoli and coauthors...
Stochastic differential equations with distributional drift and related
stochastic control theory.
The talk will partially cover joint works with M. Errami, F. Flandoli, F.
Gozzi, G. Trutnau.