Fractional smoothness of functionals of diffusion processes under a change of measure
Probability
2012-10-18 v1 Analysis of PDEs
Functional Analysis
Abstract
Let be the solution of the parabolic backward equation \partial_t v + (1/2) \sum_{i,l} [\sigma \sigma^\perp]_{il} \partial_{x_i \partial_{x_l} v + \sum_{i} b_i \partial_{x_i}v + kv =0 with terminal condition , where the coefficients are time- and state-dependent, and satisfy certain regularity assumptions. Let be the associated -valued diffusion process on some appropriate . For and a measure , where satisfies the Muckenhoupt condition for , we relate the behavior of , and to each other, where D^2v:=(\partial_{x_i \partial_{x_l}v)_{i,l} is the Hessian matrix.
Keywords
Cite
@article{arxiv.1210.4572,
title = {Fractional smoothness of functionals of diffusion processes under a change of measure},
author = {Stefan Geiss and Emmanuel Gobet},
journal= {arXiv preprint arXiv:1210.4572},
year = {2012}
}