English

A Stratonovich-Skorohod integral formula for Volterra Gaussian rough paths

Probability 2018-06-07 v1

Abstract

Given a solution YY to a rough differential equation (RDE), a recent result [8] extends the classical It\"{o}-Stratonovich formula and provides a closed-form expression for YdXYdX\int Y \circ \mathrm{d} \mathbf{X} - \int Y \, \mathrm{d} X, i.e. the difference between the rough and Skorohod integrals of YY with respect to XX, where XX is a Gaussian process with finite pp-variation less than 3. In this paper, we extend this result to Gaussian processes with finite pp-variation such that 3p<43 \leq p < 4. The constraint this time is that we restrict ourselves to Volterra Gaussian processes with kernels satisfying a natural condition, which however still allows the result to encompass many standard examples, including fractional Brownian motion with H>14H > \frac{1}{4}. Analogously to [8], we first show that the Riemann-sum approximants of the Skorohod integral converge in L2(Ω)L^2(\Omega) by adopting a suitable characterization of the Cameron-Martin norm, before appending the approximants with higher-level compensation terms without altering the limit. Lastly, the formula is obtained after a re-balancing of terms, and we also show how to recover the standard It\"{o} formulas in the case where the vector fields of the RDE governing YY are commutative.

Keywords

Cite

@article{arxiv.1806.02219,
  title  = {A Stratonovich-Skorohod integral formula for Volterra Gaussian rough paths},
  author = {Thomas Cass and Nengli Lim},
  journal= {arXiv preprint arXiv:1806.02219},
  year   = {2018}
}