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Computational Complexity of Covering Disconnected Multigraphs

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10436901" target="_blank" >RIV/00216208:11320/21:10436901 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/978-3-030-86593-1_6" target="_blank" >https://doi.org/10.1007/978-3-030-86593-1_6</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-86593-1_6" target="_blank" >10.1007/978-3-030-86593-1_6</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Computational Complexity of Covering Disconnected Multigraphs

  • Original language description

    The notion of graph covers is a discretization of covering spaces introduced and deeply studied in topology. In discrete mathematics and theoretical computer science, they have attained a lot of attention from both the structural and complexity perspectives. Nonetheless, disconnected graphs were usually omitted from the considerations with the explanation that it is sufficient to understand coverings of the connected components of the target graph by components of the source one. However, different (but equivalent) versions of the definition of covers of connected graphs generalize to nonequivalent definitions of disconnected graphs. The aim of this paper is to summarize this issue and to compare three different approaches to covers of disconnected graphs: 1) locally bijective homomorphisms, 2) globally surjective locally bijective homomorphisms (which we call surjective covers), and 3) locally bijective homomorphisms which cover every vertex the same number of times (which we call equitable covers). The standpoint of our comparison is the complexity of deciding if an input graph covers a fixed target graph. We show that both surjective and equitable covers satisfy what certainly is a natural and welcome property: covering a disconnected graph is polynomial time decidable if such it is for every connected component of the graph, and it is NP-complete if it is NP-complete for at least one of its components. Despite of this, we argue that the third variant, equitable covers, is the right one, when considering covers of colored (multi)graphs. Moreover, the complexity of surjective and equitable covers differ from the fixed parameter complexity point of view. We conclude the paper by a complete characterization of the complexity of covering 2-vertex colored multigraphs with semi-edges. We present the results in the utmost generality and strength. In accord with the current trends we consider (multi)graphs with semi-edges, and, on the other hand, we aim at proving the NP-completeness results for simple input graphs.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    FUNDAMENTALS OF COMPUTATION THEORY, FCT 2021

  • ISBN

    978-3-030-86593-1

  • ISSN

    0302-9743

  • e-ISSN

    1611-3349

  • Number of pages

    15

  • Pages from-to

    85-99

  • Publisher name

    SPRINGER INTERNATIONAL PUBLISHING AG

  • Place of publication

    CHAM

  • Event location

    Natl Tech Univ Athens

  • Event date

    Sep 12, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000722594000006