A generalized Fernique theorem and applications
Peter Friz, Harald Oberhauser

TL;DR
This paper extends Fernique's theorem to a broader class of functionals on Wiener spaces using isoperimetric inequalities, enabling Gaussian integrability results for complex stochastic processes like rough paths.
Contribution
It introduces a generalized Fernique theorem applicable to non-Gaussian functionals on Wiener spaces, with applications to rough path theory and Gaussian processes.
Findings
Established Gaussian integrability for rough path norms.
Derived explicit constants for fractional Brownian rough paths.
Extended Fernique's theorem to a wider class of functionals.
Abstract
We prove a generalisation of Fernique's theorem which applies to a class of (measurable) functionals on abstract Wiener spaces by using the isoperimetric inequality. Our motivation comes from rough path theory where one deals with iterated integrals of Gaussian processes (which are generically not Gaussian). Gaussian integrability with explicitly given constants for variation and H\"older norms of the (fractional) Brownian rough path, Gaussian rough paths and the Banach space valued Wiener process enhanced with its L\'evy area [Ledoux, Lyons, Quian. "L\'evy area of Wiener processes in Banach spaces". Ann. Probab., 30(2):546--578, 2002] then all follow from applying our main theorem.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and financial applications · Financial Risk and Volatility Modeling · Statistical Methods and Inference
