Clustered independence and bounded treewidth
This work addresses a combinatorial graph theory problem, offering incremental improvements to existing bounds for researchers in discrete mathematics.
The paper tackles the problem of finding large c-clustered sets in graphs with bounded treewidth, establishing improved lower bounds on the size of such sets, including settling a conjecture for specific cases and providing best-possible results.
A set $S\subseteq V$ of vertices of a graph $G$ is a \emph{$c$-clustered set} if it induces a subgraph with components of order at most $c$ each, and $α_c(G)$ denotes the size of a largest $c$-clustered set. For any graph $G$ on $n$ vertices and treewidth $k$, we show that $α_c(G) \geq \frac{c}{c+k+1}n$, which improves a result of Wood [arXiv:2208.10074, August 2022], while we construct $n$-vertex graphs $G$ of treewidth~$k$ with $α_c(G)\leq \frac{c}{c+k}n$. In the case $c\leq 2$ or $k=1$ we prove the better lower bound $α_c(G) \geq \frac{c}{c+k}n$, which settles a conjecture of Chappell and Pelsmajer [Electron.\ J.\ Comb., 2013] and is best-possible. Finally, in the case $c=3$ and $k=2$, we show $α_c(G) \geq \frac{5}{9}n$ and which is best-possible.