Breaking through the $Ω(n)$-space barrier: Population Protocols Decide Double-exponential Thresholds

Fuente: arXiv
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Auteur principal: Czerner, Philipp
Format: Preprint
Publié: 2022
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author Czerner, Philipp
author_facet Czerner, Philipp
contents Population protocols are a model of distributed computation in which finite-state agents interact randomly in pairs. A protocol decides for any initial configuration whether it satisfies a fixed property, specified as a predicate on the set of configurations. A family of protocols deciding predicates $φ_n$ is succinct if it uses $\mathcal{O}(|φ_n|)$ states, where $φ_n$ is encoded as quantifier-free Presburger formula with coefficients in binary. (All predicates decidable by population protocols can be encoded in this manner.) While it is known that succinct protocols exist for all predicates, it is open whether protocols with $o(|φ_n|)$ states exist for \emph{any} family of predicates $φ_n$. We answer this affirmatively, by constructing protocols with $\mathcal{O}(\log|φ_n|)$ states for some family of threshold predicates $φ_n(x)\Leftrightarrow x\ge k_n$, with $k_1,k_2,...\in\mathbb{N}$. (In other words, protocols with $\mathcal{O}(n)$ states that decide $x\ge k$ for a $k\ge 2^{2^n}$.) This matches a known lower bound. Moreover, our construction for threshold predicates is the first that is not $1$-aware, and it is almost self-stabilising.
format Preprint
id arxiv_https___arxiv_org_abs_2204_02115
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Breaking through the $Ω(n)$-space barrier: Population Protocols Decide Double-exponential Thresholds
Czerner, Philipp
Distributed, Parallel, and Cluster Computing
Population protocols are a model of distributed computation in which finite-state agents interact randomly in pairs. A protocol decides for any initial configuration whether it satisfies a fixed property, specified as a predicate on the set of configurations. A family of protocols deciding predicates $φ_n$ is succinct if it uses $\mathcal{O}(|φ_n|)$ states, where $φ_n$ is encoded as quantifier-free Presburger formula with coefficients in binary. (All predicates decidable by population protocols can be encoded in this manner.) While it is known that succinct protocols exist for all predicates, it is open whether protocols with $o(|φ_n|)$ states exist for \emph{any} family of predicates $φ_n$. We answer this affirmatively, by constructing protocols with $\mathcal{O}(\log|φ_n|)$ states for some family of threshold predicates $φ_n(x)\Leftrightarrow x\ge k_n$, with $k_1,k_2,...\in\mathbb{N}$. (In other words, protocols with $\mathcal{O}(n)$ states that decide $x\ge k$ for a $k\ge 2^{2^n}$.) This matches a known lower bound. Moreover, our construction for threshold predicates is the first that is not $1$-aware, and it is almost self-stabilising.
title Breaking through the $Ω(n)$-space barrier: Population Protocols Decide Double-exponential Thresholds
topic Distributed, Parallel, and Cluster Computing
url https://arxiv.org/abs/2204.02115