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Main Authors: Ashvinkumar, Vikrant, Kenney, Charles
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2408.12835
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author Ashvinkumar, Vikrant
Kenney, Charles
author_facet Ashvinkumar, Vikrant
Kenney, Charles
contents A random set $S$ is $p$-spread if, for all sets $T$, $$\mathbb{P}(S \supseteq T) \leq p^{|T|}.$$ There is a constant $C>1$ large enough that for every graph $G$ with maximum degree $D$, there is a $C/D$-spread distribution on $(D+1)$-colorings of $G$. Making use of a connection between thresholds and spread distributions due to Frankston, Kahn, Narayanan, and Park, a palette sparsification theorem of Assadi, Chen, and Khanna follows.
format Preprint
id arxiv_https___arxiv_org_abs_2408_12835
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Palette Sparsification via FKNP
Ashvinkumar, Vikrant
Kenney, Charles
Combinatorics
05C15
G.2.2
A random set $S$ is $p$-spread if, for all sets $T$, $$\mathbb{P}(S \supseteq T) \leq p^{|T|}.$$ There is a constant $C>1$ large enough that for every graph $G$ with maximum degree $D$, there is a $C/D$-spread distribution on $(D+1)$-colorings of $G$. Making use of a connection between thresholds and spread distributions due to Frankston, Kahn, Narayanan, and Park, a palette sparsification theorem of Assadi, Chen, and Khanna follows.
title Palette Sparsification via FKNP
topic Combinatorics
05C15
G.2.2
url https://arxiv.org/abs/2408.12835