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One-way communication complexity of symmetric Boolean functions

Published online by Cambridge University Press:  15 October 2005

Jan Arpe
Affiliation:
Institut für Theoretische Informatik, Universität zu Lübeck, Razeburger Allee 160, 23538 Lübeck, Germany; arpe@tcs.uni-luebeck.de;jakoby@tcs.uni-luebeck.de; liskiewi@tcs.uni-luebeck.deSupported by DFG research grant Re 672/3.
Andreas Jakoby
Affiliation:
Institut für Theoretische Informatik, Universität zu Lübeck, Razeburger Allee 160, 23538 Lübeck, Germany; arpe@tcs.uni-luebeck.de;jakoby@tcs.uni-luebeck.de; liskiewi@tcs.uni-luebeck.dePart of this work was done while visiting International University Bremen, Germany.
Maciej Liśkiewicz
Affiliation:
Institut für Theoretische Informatik, Universität zu Lübeck, Razeburger Allee 160, 23538 Lübeck, Germany; arpe@tcs.uni-luebeck.de;jakoby@tcs.uni-luebeck.de; liskiewi@tcs.uni-luebeck.deOn leave from Instytut Informatyki, Uniwersytet Wrocławski, Wrocław, Poland.
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Abstract

We study deterministic one-way communication complexity of functions with Hankel communication matrices. Some structural properties of such matrices are establishedand applied to the one-way two-party communication complexity of symmetric Boolean functions.It is shown that the number of required communication bits does not depend on the communication direction, provided thatneither direction needs maximum complexity. Moreover, in order to obtain an optimal protocol, it is in any case sufficient to consider only the communication directionfrom the party with the shorter input to the other party. These facts do not hold for arbitrary Boolean functions in general. Next, gaps between one-way and two-way communication complexity for symmetric Boolean functions are discussed.Finally, we give some generalizations to the case of multiple parties.

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Type
Research Article
Copyright
© EDP Sciences, 2005

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