Stochastic calculus for Markov processes associated with non-symmetric Dirichlet forms
陳傳鐘教授海南師範大學 上午 10:00–12:00 鴻經館 107 室摘要:
Ito’s formula plays an important role in stochastic analysis. However, in most textbook Ito’s formula holds only for semimartingales, which is a summation of local martingales and bounded variation processes. Dirichlet process, which is a summation of local martingale and continuous additive functionals with zero energy, is not necessarily a semimartingale. In this topic, we will first extend Nakao’s stochastic integrals for continuous additive functionals of zero energy from the symmetric Dirichlet forms setting to the non-symmetric Dirichlet forms setting. Then we obtain Itˆo’s formula in terms of the extended stochastic integrals.