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Main Authors: Kahn, Jeff, Kenney, Charles
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2407.07928
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author Kahn, Jeff
Kenney, Charles
author_facet Kahn, Jeff
Kenney, Charles
contents It is shown that the following holds for each $\varepsilon >0$. For $G$ an $n$-vertex graph of maximum degree $D$, lists $S_v$ of size $D+1$ (for $v\in V(G)$), and $L_v$ chosen uniformly from the ($(1+\varepsilon)\ln n$)-subsets of $S_v$ (independent of other choices), \[ \mbox{$G$ admits a proper coloring $σ$ with $σ_v\in L_v$ $\forall v$} \] with probability tending to 1 as $D\to \infty$. When each $S_v $ is $\{1\dots D+1\}$, this is an asymptotically optimal version of the ``palette sparsification'' theorem of Assadi, Chen and Khanna that was proved in an earlier paper by the present authors.
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id arxiv_https___arxiv_org_abs_2407_07928
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Asymptotics for Palette Sparsification from Variable Lists
Kahn, Jeff
Kenney, Charles
Combinatorics
05C15
It is shown that the following holds for each $\varepsilon >0$. For $G$ an $n$-vertex graph of maximum degree $D$, lists $S_v$ of size $D+1$ (for $v\in V(G)$), and $L_v$ chosen uniformly from the ($(1+\varepsilon)\ln n$)-subsets of $S_v$ (independent of other choices), \[ \mbox{$G$ admits a proper coloring $σ$ with $σ_v\in L_v$ $\forall v$} \] with probability tending to 1 as $D\to \infty$. When each $S_v $ is $\{1\dots D+1\}$, this is an asymptotically optimal version of the ``palette sparsification'' theorem of Assadi, Chen and Khanna that was proved in an earlier paper by the present authors.
title Asymptotics for Palette Sparsification from Variable Lists
topic Combinatorics
05C15
url https://arxiv.org/abs/2407.07928