Stochastic quantization of the three-dimensional polymer measure via the Dirichlet form method
Sergio Albeverio, Seiichiro Kusuoka, Song Liang, Makoto Nakashima

TL;DR
This paper constructs a diffusion process in three dimensions whose invariant measure is the polymer measure, using Dirichlet form techniques without relying on an integration by parts formula, advancing the mathematical understanding of polymer measures.
Contribution
It establishes the existence of a diffusion process with the three-dimensional polymer measure as invariant, employing Dirichlet form methods and proving closability without an integration by parts formula.
Findings
Existence of the diffusion process with the polymer measure as invariant
Proved closability of the gradient-type Dirichlet form in infinite dimensions
Established quasi-invariance of the polymer measure along Cameron-Martin vectors
Abstract
We prove that there exists a diffusion process whose invariant measure is the three dimensional polymer measure for all . We follow in part a previous incomplete unpublished work of the first named author with M. R\"ockner and X.Y. Zhou. For the construction of we rely on previous work by J. Westwater, E. Bolthausen and X.Y. Zhou. Using , the diffusion is constructed by means of the theory of Dirichlet forms on infinite-dimensional state spaces. The closability of the appropriate pre-Dirichlet form which is of gradient type is proven, by using a general closability result in [AR89a]. This result does not require an integration by parts formula (which does not even hold for the two-dimensional polymer measure ) but requires the quasi-invariance of along a basis of vectors in the classical Cameron-Martin space…
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
TopicsMathematical Biology Tumor Growth · Advanced Mathematical Modeling in Engineering · advanced mathematical theories
