Stochastic integration with respect to additive functionals of zero quadratic variation
Alexander Walsh

TL;DR
This paper develops a stochastic integral framework for additive functionals of zero quadratic variation associated with Markov processes, extending Itô's formula to a broader class of processes.
Contribution
It introduces a new stochastic integral with respect to additive functionals of zero quadratic variation for Markov processes linked to non-symmetric Dirichlet forms.
Findings
Established an Itô formula for processes involving these additive functionals.
Defined a stochastic integral for a class of zero quadratic variation additive functionals.
Extended stochastic calculus tools to non-symmetric Dirichlet form settings.
Abstract
We consider a Markov process associated to a nonnecessarily symmetric Dirichlet form . We define a stochastic integral with respect to a class of additive functionals of zero quadratic variation and then we obtain an It\^{o} formula for the process , when is locally in the domain of .
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