Abstract
This paper develops systematically the stochastic calculus via regularization in the case of jump processes. In particular one continues the analysis of real-valued càdlàg weak Dirichlet processes with respect to a given filtration. Such a process is the sum of a local martingale and an adapted process A such that [N,A]=0, for any continuous local martingale N. Given a function u:[0,T]×R→R, which is of class C0,1 (or sometimes less), we provide a chain rule type expansion for u(t,Xt) which stands in applications for a chain Itô type rule.
| Original language | English |
|---|---|
| Pages (from-to) | 4139-4189 |
| Number of pages | 51 |
| Journal | Stochastic Processes and their Applications |
| Volume | 127 |
| Issue number | 12 |
| DOIs | |
| Publication status | Published - 1 Dec 2017 |
| Externally published | Yes |
Keywords
- Calculus via regularizations
- Orthogonality
- Random measure
- Stochastic integrals for jump processes
- Weak Dirichlet processes
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