
A fundamental result in structural graph theory states that every graph with large average degree contains a large complete graph as a minor. We prove this result with the extra property that the minor is small with respect to the order of the whole graph. More precisely, we describe functions $f$ and $h$ such that every graph with $n$ vertices and average degree at least $f(t)$ contains a $K_t$-model with at most $h(t)\cdot\log n$ vertices. The logarithmic dependence on $n$ is best possible (for fixed $t$). In general, we prove that $f(t)\leq 2^{t-1}+\eps$. For $t\leq 4$, we determine the least value of $f(t)$; in particular $f(3)=2+\eps$ and $f(4)=4+\eps$. For $t\leq4$, we establish similar results for graphs embedded on surfaces, where the size of the $K_t$-model is bounded (for fixed $t$).
FOS: Computer and information sciences, Discrete Mathematics (cs.DM), Graph minors, 05C83, 05C35, Theoretical Computer Science, Computational Theory and Mathematics, FOS: Mathematics, Théorie des graphes, structural graph theory, logarithmic dependence, Mathematics - Combinatorics, Density (toughness, etc.), Geometry and Topology, Combinatorics (math.CO), Computer Science - Discrete Mathematics
FOS: Computer and information sciences, Discrete Mathematics (cs.DM), Graph minors, 05C83, 05C35, Theoretical Computer Science, Computational Theory and Mathematics, FOS: Mathematics, Théorie des graphes, structural graph theory, logarithmic dependence, Mathematics - Combinatorics, Density (toughness, etc.), Geometry and Topology, Combinatorics (math.CO), Computer Science - Discrete Mathematics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 11 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
