A key objective of extremal combinatorics is to investigate various conditions on combinatorial structures (such as graphs, set systems, and simplicial complexes) that guarantee the existence of specific substructures. In this talk, I will concentrate on two central topics within this theme of extremal combinatorics:
I will begin with a gentle introduction to the first topic, highlighting a few fundamental questions in the field. In this context, I will introduce the Erdös–Sauer problem that asks for the maximum possible number of edges that an $n$-vertex graph can have without containing an $r$-regular subgraph. The problem had seen no progress since Pyber’s work in 1985 until recently when Janzer and Sudakov resolved this problem up to a multiplicative constant depending on $r$. We resolve the Erdös–Sauer problem up to an absolute constant factor (not depending on $r$) as follows. There exists an absolute constant $C$ such that the following holds. For each positive integer $r$, there exists some $n_0=n_0(r)$ such that if $n\geq n_0$, then every $n$-vertex graph with at least $Cr^2n\log \log n$ edges contains an $r$-regular subgraph. Moreover, we show this to be tight up to the value of $C$.
Next, I will transition to the second topic, starting with two classical results on embedding the Hamilton cycle (a cycle that visits every vertex exactly once):
In the last decade, extending subgraph embedding problems to the setting of transversals over a collection of graphs has sparked significant interest in the literature. I will introduce this concept and then discuss the transversal generalizations of (1) and (2). Some of these include results from my own work in various papers.