Stochastic Calculus for Markov Processes Associated with Non-symmetric Dirichlet Forms
Chuan-Zhong Chen, Li Ma, Wei Sun

TL;DR
This paper extends Nakao's stochastic integrals and Ito's formula to non-symmetric Dirichlet forms, broadening the mathematical tools available for analyzing Markov processes with non-symmetric characteristics.
Contribution
It introduces an extension of stochastic integrals and Ito's formula from symmetric to non-symmetric Dirichlet forms, enhancing the theoretical framework for Markov processes.
Findings
Extended Nakao's stochastic integrals to non-symmetric forms
Derived Ito's formula in the non-symmetric setting
Provided mathematical tools for analyzing non-symmetric Markov processes
Abstract
Nakao's stochastic integrals for continuous additive functionals of zero energy are extended from the symmetric Dirichlet forms setting to the non-symmetric Dirichlet forms setting. Ito's formula in terms of the extended stochastic integrals is obtained.
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