Higher order integration by parts formulae for Wiener measures on a path space between two curves
Kensuke Ishitani, Soma Nishino

TL;DR
This paper develops higher-order integration by parts formulae on path spaces between two curves for Wiener measures, incorporating boundary terms and employing novel construction methods and notation for clarity.
Contribution
It introduces higher-order integration by parts formulae with boundary terms, using Brownian excursion constructions and a new Symmetrization notation for concise expression.
Findings
Formulated higher-order integration by parts formulae with boundary terms
Introduced Symmetrization notation for boundary term expressions
Provided probabilistic explanations for boundary terms
Abstract
We have formulated higher-order integration by parts formulae on the path space restricted between two curves, with respect to pinned/ordinary Wiener measures. The higher-order integration by parts formulae introduce nontrivial boundary terms, unlike the first-order one. Furthermore, in the process of proving these formulae, it becomes necessary to employ the construction methods of Brownian excursion and Brownian house-moving through random walk approximations. To express the integration by parts formula concisely, we introduced a notation called Symmetrization. This notation enables the rewriting of the intricate expressions of boundary terms associated with higher-order integration by parts into more concise forms. Additionally, we provided a probabilistic explanation for the boundary terms by introducing symbols based on the concept of infinitesimal probability. These efforts are…
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 · Algebraic and Geometric Analysis
