Pseudodeterministic Communication Complexity

Fuente: arXiv
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Autori principali: Göös, Mika, Harms, Nathaniel, Riazanov, Artur, Sofronova, Anastasia, Sokolov, Dmitry, Yuan, Weiqiang
Natura: Preprint
Pubblicazione: 2025
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author Göös, Mika
Harms, Nathaniel
Riazanov, Artur
Sofronova, Anastasia
Sokolov, Dmitry
Yuan, Weiqiang
author_facet Göös, Mika
Harms, Nathaniel
Riazanov, Artur
Sofronova, Anastasia
Sokolov, Dmitry
Yuan, Weiqiang
contents We exhibit an $n$-bit partial function with randomized communication complexity $O(\log n)$ but such that any completion of this function into a total one requires randomized communication complexity $n^{Ω(1)}$. In particular, this shows an exponential separation between randomized and \emph{pseudodeterministic} communication protocols. Previously, Gavinsky (2025) showed an analogous separation in the weaker model of parity decision trees. We use lifting techniques to extend his proof idea to communication complexity.
format Preprint
id arxiv_https___arxiv_org_abs_2511_04794
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Pseudodeterministic Communication Complexity
Göös, Mika
Harms, Nathaniel
Riazanov, Artur
Sofronova, Anastasia
Sokolov, Dmitry
Yuan, Weiqiang
Computational Complexity
We exhibit an $n$-bit partial function with randomized communication complexity $O(\log n)$ but such that any completion of this function into a total one requires randomized communication complexity $n^{Ω(1)}$. In particular, this shows an exponential separation between randomized and \emph{pseudodeterministic} communication protocols. Previously, Gavinsky (2025) showed an analogous separation in the weaker model of parity decision trees. We use lifting techniques to extend his proof idea to communication complexity.
title Pseudodeterministic Communication Complexity
topic Computational Complexity
url https://arxiv.org/abs/2511.04794