BV-capacities on Wiener Spaces and Regularity of the Maximum of the Wiener Process
Dario Trevisan

TL;DR
This paper introduces a capacity on Wiener spaces, extends calculus rules for BV functions, and analyzes the second derivative measure of the Wiener process maximum, revealing its singularity.
Contribution
It defines a new capacity on Wiener spaces and demonstrates its use in extending calculus rules for BV functions and analyzing the second derivative of the Wiener process maximum.
Findings
Total variation measure |Du| is absolutely continuous w.r.t. capacity C.
The maximum of the Wiener process admits a second derivative measure.
The second derivative measure of the Wiener maximum is singular w.r.t. Wiener measure.
Abstract
We define a capacity C on abstract Wiener spaces and prove that, for any u with bounded variation, the total variation measure |Du| is absolutely continuous with respect to C: this enables us to extend the usual rules of calculus in many cases dealing with BV functions. As an application, we show that, on the classical Wiener space, the random variable sup_{0\leqt\leqT} W_t admits a measure as second derivative, whose total variation measure is singular w.r.t. the Wiener measure.
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
Topicsadvanced mathematical theories · Mathematical Analysis and Transform Methods · Spectral Theory in Mathematical Physics
