Communication Complexity And Linearly Ordered Sets
Mieczysław Kula ; Małgorzata Serwecińska
Annales Mathematicae Silesianae, Tome 29 (2015), p. 93-117 / Harvested from The Polish Digital Mathematics Library

The paper is devoted to the communication complexity of lattice operations in linearly ordered finite sets. All well known techniques ([4, Chapter 1]) to determine the communication complexity of the infimum function in linear lattices disappoint, because a gap between the lower and upper bound is equal to O(log2 n), where n is the cardinality of the lattice. Therefore our aim will be to investigate the communication complexity of the function more carefully. We consider a family of so called interval protocols and we construct the interval protocols for the infimum. We prove that the constructed protocols are optimal in the family of interval protocols. It is still open problem to compute the communication complexity of constructed protocols but the numerical experiments show that their complexity is less than the complexity of known protocols for the infimum function.

Publié le : 2015-01-01
EUDML-ID : urn:eudml:doc:276904
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     author = {Mieczys\l aw Kula and Ma\l gorzata Serweci\'nska},
     title = {Communication Complexity And Linearly Ordered Sets},
     journal = {Annales Mathematicae Silesianae},
     volume = {29},
     year = {2015},
     pages = {93-117},
     language = {en},
     url = {http://dml.mathdoc.fr/item/bwmeta1.element.doi-10_1515_amsil-2015-0008}
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Mieczysław Kula; Małgorzata Serwecińska. Communication Complexity And Linearly Ordered Sets. Annales Mathematicae Silesianae, Tome 29 (2015) pp. 93-117. http://gdmltest.u-ga.fr/item/bwmeta1.element.doi-10_1515_amsil-2015-0008/

[1] Ahlswede R., Cai N., Tamm U., Communication complexity in lattices, Appl. Math. Lett. 6 (1993), no. 6, 53–58.[Crossref] | Zbl 0791.94001

[2] Babaioff M., Blumrosen L., Naor M., Schapira M., Informational overhead of incentive compatibility, in: Proc. 9th ACM Conference on Electronic Commerce, ACM, 2008, pp. 88–97.

[3] Björner A., Kalander J., Lindström B., Communication complexity of two decision problems, Discrete Appl. Math. 39 (1992), 161–163. | Zbl 0769.68042

[4] Kushilevitz E., Nisan N., Communication complexity, Cambridge University Press, Cambridge, 1997. | Zbl 0869.68048

[5] Lovasz L., Sachs M., Communication complexity and combinatorial lattice theory, J. Comput. System Sci. 47 (1993), 322–349. | Zbl 0791.68083

[6] Mehlhorn K., Schmidt E., Las Vegas is better than determinism in VLSI and distributed computing, in: Proc. 14th Ann. ACM Symp. on Theory of Computing, ACM, 1982, pp. 330–337.

[7] Serwecińska M., Communication complexity in linear ordered sets, Bull. Sect. Logic 33 (2004), no. 4, 209–222. | Zbl 1096.68071

[8] Yao A.C., Some complexity questions related to distributive computing, in: Proc. 11th Ann. ACM Symp. on Theory of Computing, ACM, 1979, pp. 209–213.