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A Stratonovich-Skorohod integral formula for Gaussian rough paths
File | Description | Size | Format | |
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euclid.aop.1544691617.pdf | Published version | 500.73 kB | Adobe PDF | View/Open |
Title: | A Stratonovich-Skorohod integral formula for Gaussian rough paths |
Authors: | Cass, T Lim, N |
Item Type: | Journal Article |
Abstract: | Given a Gaussian process X, its canonical geometric rough path lift X, and a solution Y to the rough differential equation (RDE) dYt=V(Yt)∘dXt, we present a closed-form correction formula for ∫Y∘dX−∫YdX, that is, the difference between the rough and Skorohod integrals of Y with respect to X. When X is standard Brownian motion, we recover the classical Stratonovich-to-Itô conversion formula, which we generalize to Gaussian rough paths with finite p-variation, p<3, and satisfying an additional natural condition. This encompasses many familiar examples, including fractional Brownian motion with H>13. To prove the formula, we first show that the Riemann-sum approximants of the Skorohod integral converge in L2(Ω) by using a novel characterization of the Cameron–Martin norm in terms of higher-dimensional Young–Stieltjes integrals. Next, we append the approximants of the Skorohod integral with a suitable compensation term without altering the limit, and the formula is finally obtained after a rebalancing of terms. |
Issue Date: | 1-Jan-2019 |
Date of Acceptance: | 8-Jan-2018 |
URI: | http://hdl.handle.net/10044/1/56747 |
DOI: | https://dx.doi.org/10.1214/18-AOP1254 |
ISSN: | 0091-1798 |
Publisher: | Institute of Mathematical Statistics |
Start Page: | 1 |
End Page: | 60 |
Journal / Book Title: | Annals of Probability |
Volume: | 47 |
Issue: | 1 |
Copyright Statement: | © Institute of Mathematical Statistics, 2019 |
Sponsor/Funder: | Engineering & Physical Science Research Council (EPSRC) |
Funder's Grant Number: | EP/M00516X/1 |
Keywords: | math.PR 0104 Statistics Statistics & Probability |
Publication Status: | Published |
Online Publication Date: | 2018-12-13 |
Appears in Collections: | Financial Mathematics Faculty of Natural Sciences Mathematics |