Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 63 tok/s
Gemini 2.5 Pro 44 tok/s Pro
GPT-5 Medium 31 tok/s Pro
GPT-5 High 32 tok/s Pro
GPT-4o 86 tok/s Pro
Kimi K2 194 tok/s Pro
GPT OSS 120B 445 tok/s Pro
Claude Sonnet 4.5 35 tok/s Pro
2000 character limit reached

Regularity Structures on Manifolds and Vector Bundles (2308.05049v1)

Published 9 Aug 2023 in math.PR

Abstract: We develop a generalisation of the original theory of regularity structures, [Hai14], which is able to treat SPDEs on manifolds with values in vector bundles. Assume $M$ is a Riemannian manifold and $E\to M$ and $Fi\to M$ are vector bundles (with a metric and connection), this theory allows to solve subcritical equations of the form $$ \partial_t u + \mathcal{L}u = \sum_{i=0}m G_i(u, \nabla u,\ldots, \nablan u)\xi_i\ , $$ where $u$ is a (generalised) section of $E$, $\mathcal{L}$ is a uniformly elliptic operator on $E$ of order strictly greater than $n$, the $\xi_i$ are $Fi$-valued random distributions (e.g. $Fi$-valued white noises), and the $G_i:E\times TM*\otimes E \times\ldots\times (TM*){\otimes n} \otimes E \to L(Fi ,E)$ are local functions. We apply our framework to three example equations which illustrate that when $\mathcal{L}$ is a Laplacian it is possible in most cases to renormalise such equations by adding spatially homogeneous counterterms and we discuss in which cases more sophisticated renormalisation procedures (involving the curvature of the underlying manifold) are required.

Citations (7)

Summary

We haven't generated a summary for this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube