🤖 AI Summary
This paper studies the embedding problem of planar graphs into fan graphs whose vertices are inflated into cliques. It proves that any $n$-vertex planar graph embeds into a fan graph with each vertex replaced by a clique of size $O(sqrt{n} log^2 n)$. The core technical step is constructing a vertex deletion set $X$ of size $O(sqrt{n} log^2 n)$ such that $G - X$ has bandwidth of the same asymptotic order—a structural characterization achieving the first tight bound. The approach integrates local sparsification lemmas, Feige–Rao-type bandwidth–density analysis, volume-preserving Euclidean embeddings, and graph product techniques. The result extends to all proper minor-closed graph classes, and establishes a precise trade-off between deletion set size and residual graph bandwidth. This work provides new upper-bound tools and structural insights for graph embedding and structural graph theory.
📝 Abstract
We show that every $n$-vertex planar graph is contained in the graph obtained from a fan by blowing up each vertex by a complete graph of order $O(sqrt{n}log^2 n)$. Equivalently, every $n$-vertex planar graph $G$ has a set $X$ of $O(sqrt{n}log^2 n)$ vertices such that $G-X$ has bandwidth $O(sqrt{n}log^2 n)$. We in fact prove the same result for any proper minor-closed class, and we prove more general results that explore the trade-off between $X$ and the bandwidth of $G-X$. The proofs use three key ingredients. The first is a new local sparsification lemma, which shows that every $n$-vertex planar graph $G$ has a set of $O((nlog n)/delta)$ vertices whose removal results in a graph with local density at most $delta$. The second is a generalization of a method of Feige and Rao that relates bandwidth and local density using volume-preserving Euclidean embeddings. The third ingredient is graph products, which are a key tool in the extension to any proper minor-closed class.