Hostname: page-component-89b8bd64d-ktprf Total loading time: 0 Render date: 2026-05-09T10:27:29.799Z Has data issue: false hasContentIssue false

Geometric structures in pseudo-random graphs

Published online by Cambridge University Press:  15 March 2024

Thang Pham*
Affiliation:
University of Science, Vietnam National University, Hanoi, Vietnam
Steven Senger
Affiliation:
Department of Mathematics, Missouri State University, Springfield, MO, United States e-mail: StevenSenger@MissouriState.edu
Michael Tait
Affiliation:
Department of Mathematics and Statistics, Villanova University, Villanova, PA, United States e-mail: michael.tait@villanova.edu
Vu Thi Huong Thu
Affiliation:
University of Science, Vietnam National University, Hanoi, Vietnam e-mail: VuThiHuongThu_T64@hus.edu.vn

Abstract

In this paper, we provide a general framework for counting geometric structures in pseudo-random graphs. As applications, our theorems recover and improve several results on the finite field analog of questions originally raised in the continuous setting. The results present interactions between discrete geometry, geometric measure theory, and graph theory.

Information

Type
Article
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of Canadian Mathematical Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable