We prove lower bounds for the direct sum problem for two-party bounded error randomised multiple-round communication protocols. Our proofs use the notion of information cost of a protocol, as defined by Chakrabarti et al. [CSWY01] and refined further by Bar-Yossef et al. [BJKS02]. Our main technical result is a 'compression' theorem saying that, for any probability distribution μ over the inputs, a k-round private coin bounded error protocol for a function f with information cost c can be converted into a k-round deterministic protocol for f with bounded distributional error and communication cost O(kc). We prove this result using a Substate Theorem about relative entropy and a rejection sampling argument. Our direct sum result follows from this 'compression' result via elementary information theoretic arguments. We also consider the direct sum problem in quantum communication. Using a probabilistic argument, we show that messages cannot be compressed in this manner even if they carry small information. © Springer-Verlag Berlin Heidelberg 2003.
CITATION STYLE
Jain, R., Radhakrishnan, J., & Sen, P. (2003). A direct sum theorem in communication complexity via message compression. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2719, 300–315. https://doi.org/10.1007/3-540-45061-0_26
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