Degree Realization by Bipartite Multigraphs

Amotz Bar-Noy, Toni Böhnlein, David Peleg, Dror Rawitz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The problem of realizing a given degree sequence by a multigraph can be thought of as a relaxation of the classical degree realization problem (where the realizing graph is simple). This paper concerns the case where the realizing multigraph is required to be bipartite. The problem of characterizing degree sequences that can be realized by a bipartite (simple) graph has two variants. In the simpler one, termed BDR $$^P$$, the partition of the degree sequence into two sides is given as part of the input. A complete characterization for realizability in this variant was given by Gale and Ryser over sixty years ago. However, the variant where the partition is not given, termed BDR, is still open. For bipartite multigraph realizations, there are again two variants. For BDR $$^P$$, where the partition is given as part of the input, a complete characterization was known for determining whether the bi-sequence is r-max-bigraphic, namely, if there is a multigraph realization whose underlying graph is bipartite, such that the maximum number of copies of an edge is at most r. We present a complete characterization for determining if there is a bipartite multigraph realization such that the total number of excess edges is at most t. As for the variant BDR, where the partition is not given, we show that determining whether a given (single) sequence admits a bipartite multigraph realization is NP-hard. On the positive side, we provide an algorithm that computes optimal realizations for the case where the number of balanced partitions is polynomial, and present sufficient conditions for the existence of bipartite multigraph realizations that depend only on the largest degree of the sequence.

Original languageEnglish
Title of host publicationStructural Information and Communication Complexity - 30th International Colloquium, SIROCCO 2023, Proceedings
EditorsSergio Rajsbaum, Sergio Rajsbaum, Alkida Balliu, Dennis Olivetti, Joshua J. Daymude
PublisherSpringer Science and Business Media Deutschland GmbH
Pages3-17
Number of pages15
ISBN (Print)9783031327322
DOIs
StatePublished - 2023
Event30th International Colloquium on Structural Information and Communication Complexity, SIROCCO 2023 - Alcalá de Henares, Spain
Duration: 6 Jun 20239 Jun 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13892 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference30th International Colloquium on Structural Information and Communication Complexity, SIROCCO 2023
Country/TerritorySpain
CityAlcalá de Henares
Period6/06/239/06/23

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Funding

This work was supported by US-Israel BSF grant 2018043.

FundersFunder number
US-Israel BSF2018043

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