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 134 tok/s
Gemini 2.5 Pro 50 tok/s Pro
GPT-5 Medium 23 tok/s Pro
GPT-5 High 30 tok/s Pro
GPT-4o 70 tok/s Pro
Kimi K2 200 tok/s Pro
GPT OSS 120B 441 tok/s Pro
Claude Sonnet 4.5 36 tok/s Pro
2000 character limit reached

On Kakeya-Nikodym averages, $L^p$-norms and lower bounds for nodal sets of eigenfunctions in higher dimensions (1301.7468v1)

Published 30 Jan 2013 in math.AP, math.CA, and math.DG

Abstract: We extend a result of the second author \cite[Theorem 1.1]{soggekaknik} to dimensions $d \geq 3$ which relates the size of $Lp$-norms of eigenfunctions for $2<p<\frac{2(d+1)}{d-1}$ to the amount of $L2$-mass in shrinking tubes about unit-length geodesics. The proof uses bilinear oscillatory integral estimates of Lee \cite{leebilinear} and a variable coefficient variant of an "$\veps$ removal lemma" of Tao and Vargas \cite{tv1}. We also use H\"ormander's \cite{HorOsc} $L2$ oscillatory integral theorem and the Cartan-Hadamard theorem to show that, under the assumption of nonpositive curvature, the $L2$-norm of eigenfunctions $e_\la$ over unit-length tubes of width $\la{-\frac12}$ goes to zero. Using our main estimate, we deduce that, in this case, the $Lp$-norms of eigenfunctions for the above range of exponents is relatively small. As a result, we can slightly improve the known lower bounds for nodal sets in dimensions $d\ge3$ of Colding and Minicozzi \cite{CM} in the special case of (variable) nonpositive curvature.

Summary

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

Dice Question Streamline Icon: https://streamlinehq.com

Open Problems

We haven't generated a list of open problems mentioned in 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.