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Mending Partial Solutions with Few Changes

Authors Darya Melnyk, Jukka Suomela, Neven Villani

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ACM Subject Classification
  • Theory of computation → Distributed computing models
  • Theory of computation → Parallel computing models
Keywords
  • mending
  • LCL problems
  • volume model

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Abstract

In this paper, we study the notion of mending: given a partial solution to a graph problem, how much effort is needed to take one step towards a proper solution? For example, if we have a partial coloring of a graph, how hard is it to properly color one more node?
In prior work (SIROCCO 2022), this question was formalized and studied from the perspective of mending radius: if there is a hole that we need to patch, how far do we need to modify the solution? In this work, we investigate a complementary notion of mending volume: how many nodes need to be modified to patch a hole?
We focus on the case of locally checkable labeling problems (LCLs) in trees, and show that already in this setting there are two infinite hierarchies of problems: for infinitely many values 0 < α ≤ 1, there is an LCL problem with mending volume Θ(n^α), and for infinitely many values k ≥ 1, there is an LCL problem with mending volume Θ(log^k n). Hence the mendability of LCL problems on trees is a much more fine-grained question than what one would expect based on the mending radius alone.

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Darya Melnyk, Jukka Suomela, and Neven Villani. Mending Partial Solutions with Few Changes. In 26th International Conference on Principles of Distributed Systems (OPODIS 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 253, pp. 21:1-21:17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023) https://doi.org/10.4230/LIPIcs.OPODIS.2022.21

Author Details

Darya Melnyk
  • Aalto University, Finland
Jukka Suomela
  • Aalto University, Finland
Neven Villani
  • Aalto University, Finland
  • École Normale Supérieure Paris-Saclay, Université Paris-Saclay, France

Funding

This work was supported in part by the Academy of Finland, Grant 333837.

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