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 distributions in compact metric spaces (1512.00364v1)

Published 1 Dec 2015 in math.CO, math.MG, and math.PR

Abstract: We consider finite point subsets (distributions) in compact metric spaces. Non-trivial bounds for sums of distances between points of distributions and for discrepancies of distributions in metric balls are given in the case of general rectifiable metric spaces. We generalize Stolarsky's invariance principle to distance-invariant spaces, and for arbitrary metric spaces we prove a probabilistic invariance principle. Furthermore, we construct partitions of general rectifiable compact metric spaces into subsets of equal measure with minimum average diameter.

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.