Abstract
General gauge and conditional gauge theorems are established for a large class of (not necessarily symmetric) strong Markov processes, including Brownian motions with singular drifts and symmetric stable processes. Furthermore, new classes of functions are introduced under which the general gauge and conditional gauge theorems hold. These classes are larger than the classical Kato class when the process is Brownian motion in a bounded C1,1 domain.
Original language | English |
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Pages (from-to) | 1313-1339 |
Number of pages | 27 |
Journal | Annals of Probability |
Volume | 30 |
Issue number | 3 |
DOIs | |
Publication status | Published - Jul 2002 |
Externally published | Yes |
Keywords
- Conditional gauge theorem
- Gauge theorem
- Green's function