Abstract
The large deviation principle for stochastic line integrals along Brownian paths on a compact Riemannian manifold is studied.We regard them as a random map on a Sobolev space of 1-forms.We show that the differentiability order of the Sobolev space can be chosen to be almost independent of the dimension of the underlying space by assigning higher integrability on 1-forms. The large deviation is formulated for the joint distribution of stochastic line integrals and the empirical distribution of a Brownian path. As the result, the rate function is given explicitly.
Original language | English |
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Pages (from-to) | 649-667 |
Number of pages | 19 |
Journal | Probability Theory and Related Fields |
Volume | 147 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2010 Jul |
Externally published | Yes |
Keywords
- Current-valued process
- Empirical distribution
- Large deviation
- Stochastic line integral
ASJC Scopus subject areas
- Analysis
- Statistics and Probability
- Statistics, Probability and Uncertainty