English

Rough Path Analysis Via Fractional Calculus

Probability 2007-05-23 v1 Dynamical Systems

Abstract

Using fractional calculus we define integrals of the form % \int_{a}^{b}f(x_{t})dy_{t}, where xx and yy are vector-valued H\"{o}lder continuous functions of order β(13,12)\displaystyle \beta \in (\frac13, \frac12) and ff is a continuously differentiable function such that ff' is λ\lambda-H\"oldr continuous for some λ>1β2\lambda>\frac1\beta-2. Under some further smooth conditions on ff the integral is a continuous functional of xx, yy, and the tensor product xyx\otimes y with respect to the H\"{o}lder norms. We derive some estimates for these integrals and we solve differential equations driven by the function yy. We discuss some applications to stochastic integrals and stochastic differential equations.

Keywords

Cite

@article{arxiv.math/0602050,
  title  = {Rough Path Analysis Via Fractional Calculus},
  author = {Yaozhong Hu and David Nualart},
  journal= {arXiv preprint arXiv:math/0602050},
  year   = {2007}
}