Communication complexity of pairs of graph families with applications

Sudeshna Kolay, Fahad Panolan, Saket Saurabh

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

1 Scopus citations

Abstract

Given a graph G and a pair (F1,F2) of graph families, the function GDISJG,F1,F2 takes as input, two induced subgraphs G1 and G2 of G, such that G1 ϵ F1 and G2 ϵ F2 and returns 1 if V (G1) / V (G2) = theta; and 0 otherwise. We study the communication complexity of this problem in the two-party model. In particular, we look at pairs of hereditary graph families. We show that the communication complexity of this function, when the two graph families are hereditary, is sublinear if and only if there are finitely many graphs in the intersection of these two families. Then, using concepts from parameterized complexity, we obtain nuanced upper bounds on the communication complexity of GDISJG,F1,F2 . A concept related to communication protocols is that of a (F1,F2)-separating family of a graph G. A collection F of subsets of V (G) is called a (F1,F2)-separating family for G, if for any two vertex disjoint induced subgraphs G1 ϵ F1,G2 ϵ F2, there is a set F ϵ F with V (G1)F and V (G2) / F = theta;. Given a graph G on n vertices, for any pair (F1,F2) of hereditary graph families with sublinear communication complexity for GDISJG,F1,F2 , we give an enumeration algorithm that finds a subexponential sized (F1,F2)-separating family. In fact, we give an enumeration algorithm that finds a 2o(k)nO(1) sized (F1,F2)-separating family; where k denotes the size of a minimum sized set S of vertices such that V (G) \ S has a bipartition (V1, V2) with G[V1] ϵ F1 and G[V2] ϵ F2. We exhibit a wide range of applications for these separating families, to obtain combinatorial bounds, enumeration algorithms as well as exact and FPT algorithms for several problems.

Original languageEnglish
Title of host publication42nd International Symposium on Mathematical Foundations of Computer Science, MFCS 2017
EditorsKim G. Larsen, Jean-Francois Raskin, Hans L. Bodlaender
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
ISBN (Electronic)9783959770460
DOIs
StatePublished - 1 Nov 2017
Externally publishedYes
Event42nd International Symposium on Mathematical Foundations of Computer Science, MFCS 2017 - Aalborg, Denmark
Duration: 21 Aug 201725 Aug 2017

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume83
ISSN (Print)1868-8969

Conference

Conference42nd International Symposium on Mathematical Foundations of Computer Science, MFCS 2017
Country/TerritoryDenmark
CityAalborg
Period21/08/1725/08/17

Keywords

  • Communication Complexity
  • FPT algorithms
  • Separating Family

ASJC Scopus subject areas

  • Software

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