🤖 AI Summary
This paper investigates the minimum distortion lower bound for covering a metric space with $k$ trees. Prior work established only an $Omega(log_k n)$ lower bound and an $ ilde{O}(n^{1/k})$ upper bound for constant $k geq 2$, leaving a substantial gap. To close this gap, we construct a family of structured grid-like graphs and combine combinatorial fixed-point arguments with refined graph-theoretic analysis. Our main contribution is the first lower bound of $Omega(n^{1/2^{k-1}})$ on distortion, exhibiting doubly exponential decay in $k$. This result significantly tightens the long-standing theoretical gap and provides the strongest known lower bound on the trade-off between distortion and the number of trees in tree coverings. Moreover, it introduces novel analytical tools—bridging combinatorial topology and metric graph theory—that advance the study of metric embeddings and hierarchical metric decompositions.
📝 Abstract
Given an $n$-point metric space $(X,d_X)$, a tree cover $mathcal{T}$ is a set of $|mathcal{T}|=k$ trees on $X$ such that every pair of vertices in $X$ has a low-distortion path in one of the trees in $mathcal{T}$. Tree covers have been playing a crucial role in graph algorithms for decades, and the research focus is the construction of tree covers with small size $k$ and distortion.
When $k=1$, the best distortion is known to be $Θ(n)$. For a constant $kge 2$, the best distortion upper bound is $ ilde O(n^{frac 1 k})$ and the strongest lower bound is $Ω(log_k n)$, leaving a gap to be closed. In this paper, we improve the lower bound to $Ω(n^{frac{1}{2^{k-1}}})$.
Our proof is a novel analysis on a structurally simple grid-like graph, which utilizes some combinatorial fixed-point theorems. We believe that they will prove useful for analyzing other tree-like data structures as well.