Deterministic Distributed Algorithms and Measurable Combinatorics on $Δ$-Regular Forests

Fuente: arXiv
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Main Authors: Brandt, Sebastian, Chang, Yi-Jun, Grebík, Jan, Grunau, Christoph, Rozhoň, Václav, Vidnyánszky, Zoltán
Format: Preprint
Published: 2022
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author Brandt, Sebastian
Chang, Yi-Jun
Grebík, Jan
Grunau, Christoph
Rozhoň, Václav
Vidnyánszky, Zoltán
author_facet Brandt, Sebastian
Chang, Yi-Jun
Grebík, Jan
Grunau, Christoph
Rozhoň, Václav
Vidnyánszky, Zoltán
contents We investigate the connections between the fields of distributed computing and measurable combinatorics by considering complexity classes of locally checkable labeling problems on regular forests. We show that the most important deterministic complexity classes from the LOCAL model of distributed computing exactly coincide with well-studied classes in measurable combinatorics. Namely, first we show that a locally checkable labeling problem admits a continuous solution if and only if it can be solved by a deterministic local algorithm with complexity $O(\log^* n)$. Second, our main result states that, surprisingly, a locally checkable labeling problem admits a Baire measurable solution if and only if it can be solved by a local algorithm with complexity $O(\log n)$. These theorems suggest the existence of deeper connections between the two frameworks. Furthermore, the latter result relies on a complete combinatorial characterization of the classes in question, and as a by-product, it shows that membership in these classes is decidable.
format Preprint
id arxiv_https___arxiv_org_abs_2204_09329
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Deterministic Distributed Algorithms and Measurable Combinatorics on $Δ$-Regular Forests
Brandt, Sebastian
Chang, Yi-Jun
Grebík, Jan
Grunau, Christoph
Rozhoň, Václav
Vidnyánszky, Zoltán
Logic
Distributed, Parallel, and Cluster Computing
We investigate the connections between the fields of distributed computing and measurable combinatorics by considering complexity classes of locally checkable labeling problems on regular forests. We show that the most important deterministic complexity classes from the LOCAL model of distributed computing exactly coincide with well-studied classes in measurable combinatorics. Namely, first we show that a locally checkable labeling problem admits a continuous solution if and only if it can be solved by a deterministic local algorithm with complexity $O(\log^* n)$. Second, our main result states that, surprisingly, a locally checkable labeling problem admits a Baire measurable solution if and only if it can be solved by a local algorithm with complexity $O(\log n)$. These theorems suggest the existence of deeper connections between the two frameworks. Furthermore, the latter result relies on a complete combinatorial characterization of the classes in question, and as a by-product, it shows that membership in these classes is decidable.
title Deterministic Distributed Algorithms and Measurable Combinatorics on $Δ$-Regular Forests
topic Logic
Distributed, Parallel, and Cluster Computing
url https://arxiv.org/abs/2204.09329