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 186 tok/s
Gemini 2.5 Pro 55 tok/s Pro
GPT-5 Medium 36 tok/s Pro
GPT-5 High 41 tok/s Pro
GPT-4o 124 tok/s Pro
Kimi K2 184 tok/s Pro
GPT OSS 120B 440 tok/s Pro
Claude Sonnet 4.5 35 tok/s Pro
2000 character limit reached

Point distribution in compact metric spaces, III. Two-point homogeneous spaces (1701.04545v3)

Published 17 Jan 2017 in math.MG and math.CO

Abstract: We consider point distributions in compact connected two-point homogeneous spaces (Riemannian symmetric spaces of rank one). All such spaces are known, they are the spheres in the Euclidean spaces, the real, complex and quaternionic projective spaces and the octonionic projective plane. Our concern is with discrepancies of distributions in metric balls and sums of pairwise distances between points of distributions in such spaces. Using the geometric features of two-point spaces, we show that Stolarsky's invariance principle, well-known for the Euclidean spheres, can be extended to all projective spaces and the octonionic projective plane (Theorem 2.1 and Corollary 2.1). We obtain the spherical function expansions for discrepancies and sums of distances (Theorem 9.1). Relying on these expansions, we prove in all such spaces the best possible bounds for quadratic discrepancies and sums of pairwise distances (Theorem 2.2). Applications to $t$-designs on such two-point homogeneous spaces are also considered. It is shown that the optimal $t$-designs meet the best possible bounds for quadratic discrepancies and sums of pairwise distances. (Corollaries 3.1 and 3.2).

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.

Authors (1)

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

Collections

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