Papers
Topics
Authors
Recent
AI Research 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 71 tok/s
Gemini 2.5 Pro 50 tok/s Pro
GPT-5 Medium 21 tok/s Pro
GPT-5 High 19 tok/s Pro
GPT-4o 91 tok/s Pro
Kimi K2 164 tok/s Pro
GPT OSS 120B 449 tok/s Pro
Claude Sonnet 4 36 tok/s Pro
2000 character limit reached

Sharp Fundamental Gap Estimate on Convex Domains of Gaussian Spaces (2509.14743v1)

Published 18 Sep 2025 in math.SP and math.AP

Abstract: We prove a sharp lower bound for the fundamental gap of convex domains in Gaussian space, the difference between the first two eigenvalues of the Ornstein-Uhlenbeck operator with Dirichlet boundary conditions. Our main result establishes that the gap is bounded below by the gap of a corresponding one-dimensional Schr\"odinger operator, confirming the Gaussian analogue of the fundamental gap conjecture. Furthermore, we demonstrate that the normalized gap of the one dimensional model is monotonically increasing with the diameter and prove the sharpness of our estimate. This work extends the seminal results of Andrews and Clutterbuck for Euclidean domains and Seto, Wang and Wei for spherical domains to the fundamentally important setting of Gaussian spaces.

Summary

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

Lightbulb On Streamline Icon: https://streamlinehq.com

Continue Learning

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

Authors (2)

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

Collections

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

X Twitter Logo Streamline Icon: https://streamlinehq.com

Tweets

This paper has been mentioned in 1 post and received 2 likes.