Problems in Discrete Geometry, Incidence Geometry,and Extremal Graph Theory

In this thesis, we study several problems from discrete geometry, incidence geometry, and extremal graph theory. In Chapter 1, we discuss some results in discrete geometry. We study three different but similar discrete geometry problems, which share a similar idea on constructions. The problems ask for sets of points in d-dimensional space that are evenly distributed, and the notion of being evenly distributed is defined in different ways. In Chapter 2, we show sharp results on two problems in incidence geometry: the finite field Kakeya problem and the joints problem. The correct orders of magnitude for these two problems were both obtained by the dimension counting polynomial method. We improved both results by considering carefully chosen spaces of polynomials. The sharp bound on the joints problem also provides a new proof of the Kruskal-Katona theorem and its generalization. We will discuss this connection in this chapter and in chapter 3. In Chapter 3, we study several extremal problems on (hyper)graphs. In the first part of this chapter, we proved some of the Kruskal-Katona-type problems via the entropy method, including a short and new proof of Lov ́asz's version of the Kruskal-Katona theorem. In the second part of this chapter, we give a simplified version of Chase's proof of the Gan-Loh-Sudakov conjecture

Institutions

Publication Details

Journal
KiltHub Repository
Published
2025-01-01
DOI
https://doi.org/10.1184/r1/29356562
Primary Topic
Genetic Mapping and Diversity in Plants and Animals
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Problems in Discrete Geometry, Incidence Geometry,and Extremal Graph Theory

KiltHub Repository
Genetic Mapping and Diversity in Plants and Animals
article

Problems in Discrete Geometry, Incidence Geometry,and Extremal Graph Theory

article en

Abstract

In this thesis, we study several problems from discrete geometry, incidence geometry, and extremal graph theory. In Chapter 1, we discuss some results in discrete geometry. We study three different but similar discrete geometry problems, which share a similar idea on constructions. The problems ask for sets of points in d-dimensional space that are evenly distributed, and the notion of being evenly distributed is defined in different ways. In Chapter 2, we show sharp results on two problems in incidence geometry: the finite field Kakeya problem and the joints problem. The correct orders of magnitude for these two problems were both obtained by the dimension counting polynomial method. We improved both results by considering carefully chosen spaces of polynomials. The sharp bound on the joints problem also provides a new proof of the Kruskal-Katona theorem and its generalization. We will discuss this connection in this chapter and in chapter 3. In Chapter 3, we study several extremal problems on (hyper)graphs. In the first part of this chapter, we proved some of the Kruskal-Katona-type problems via the entropy method, including a short and new proof of Lov ́asz's version of the Kruskal-Katona theorem. In the second part of this chapter, we give a simplified version of Chase's proof of the Gan-Loh-Sudakov conjecture

KiltHub Repository
Carnegie Mellon University (US)
Openalex Percentile: Top 45%
Genetic Mapping and Diversity in Plants and Animals
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Problems in Discrete Geometry, Incidence Geometry,and Extremal Graph Theory · KiltHub Repository (2025) | TGRS Research Map | TGRS