English

On Sparse Covers of Minor Free Graphs, Low Dimensional Metric Embeddings, and other applications

Data Structures and Algorithms 2024-10-30 v3 Computational Geometry Combinatorics

Abstract

Given a metric space (X,dX)(X,d_X), a (β,s,Δ)(\beta,s,\Delta)-sparse cover is a collection of clusters CP(X)\mathcal{C}\subseteq P(X) with diameter at most Δ\Delta, such that for every point xXx\in X, the ball BX(x,Δβ)B_X(x,\frac\Delta\beta) is fully contained in some cluster CCC\in \mathcal{C}, and xx belongs to at most ss clusters in C\mathcal{C}. Our main contribution is to show that the shortest path metric of every KrK_r-minor free graphs admits (O(r),O(r2),Δ)(O(r),O(r^2),\Delta)-sparse cover, and for every ϵ>0\epsilon>0, (4+ϵ,O(1ϵ)r,Δ)(4+\epsilon,O(\frac1\epsilon)^r,\Delta)-sparse cover (for arbitrary Δ>0\Delta>0). We then use this sparse cover to show that every KrK_r-minor free graph embeds into O~(1ϵ)r+1logn\ell_\infty^{\tilde{O}(\frac1\epsilon)^{r+1}\cdot\log n} with distortion 3+ϵ3+\epsilon (resp. into O~(r2)logn\ell_\infty^{\tilde{O}(r^2)\cdot\log n} with distortion O(r)O(r)). Further, among other applications, this sparse cover immediately implies an algorithm for the oblivious buy-at-bulk problem in fixed minor free graphs with the tight approximation factor O(logn)O(\log n) (previously nothing beyond general graphs was known).

Keywords

Cite

@article{arxiv.2401.14060,
  title  = {On Sparse Covers of Minor Free Graphs, Low Dimensional Metric Embeddings, and other applications},
  author = {Arnold Filtser},
  journal= {arXiv preprint arXiv:2401.14060},
  year   = {2024}
}