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research article

Adaptive majority problems for restricted query graphs and for weighted sets

Damasdi, Gabor
•
Gerbner, Daniel
•
Katona, Gyula O. H.
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January 15, 2021
Discrete Applied Mathematics

Suppose that the vertices of a graph G are colored with two colors in an unknown way. The color that occurs on more than half of the vertices is called the majority color (if it exists), and any vertex of this color is called a majority vertex. We study the problem of finding a majority vertex (or show that none exists), if we can query edges to learn whether their endpoints have the same or different colors. Denote the least number of queries needed in the worst case by m(G). It was shown by Saks and Werman that m(K-n) = n - b(n), where b(n) is the number of 1's in the binary representation of n.

In this paper we initiate the study of the problem for general graphs. The obvious bounds for a connected graph G on n vertices are n - b(n) <= m(G) <= n - 1. We show that for any tree T on an even number of vertices we have m(T) = n - 1, and that for any tree T on an odd number of vertices, we have n - 65 <= m(T) <= n-2. Our proof uses results about the weighted version of the problem for K-n, which may be of independent interest. We also exhibit a sequence G(n) of graphs with m(G(n)) = n - b(n) such that G(n) has O(nb(n)) edges and n vertices. (C) 2020 The Author(s). Published by Elsevier B.V.

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Type
research article
DOI
10.1016/j.dam.2020.09.003
Web of Science ID

WOS:000583891700020

Author(s)
Damasdi, Gabor
Gerbner, Daniel
Katona, Gyula O. H.
Keszegh, Balazs  
Lenger, Daniel
Methuku, Abhishek  
Nagy, Daniel T.
Palvolgyi, Domotor  
Patkos, Balazs
Vizer, Mate
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Date Issued

2021-01-15

Publisher

ELSEVIER

Published in
Discrete Applied Mathematics
Volume

288

Start page

235

End page

245

Subjects

Mathematics, Applied

•

Mathematics

•

graph

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combinatorial search

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majority problem

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vertex coloring

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adaptive search

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query

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computing majority

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
DCG  
Available on Infoscience
March 26, 2021
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/176743
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