Informational Complexity and the Direct Sum Problem for Simultaneous Message Complexity

  • Authors:
  • A. Chakrabarti

  • Affiliations:
  • -

  • Venue:
  • FOCS '01 Proceedings of the 42nd IEEE symposium on Foundations of Computer Science
  • Year:
  • 2001

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Abstract

Given m copies of the same problem, does it take m times the amount of resources to solve these m problems? This is the direct sum problem, a fundamental question that has been studied in many computational models. We study this question in the simultaneous message (SM) model of communication introduced by Yao [Y79].The equality problem for n-bit strings is well known to have SM complexity \Theta (\sqrt n). We prove that solving m copies of the problem has complexity \Omega (m\sqrt n ); the best lower bound provable using previously known techniques is \Omega (\sqrt {mn} ). We also prove similar lower bounds on certain Boolean combinations of multiple copies of the equality function. These results can be generalized to a broader class of functions.We introduce a new notion of informational complexity which is related to SM complexity and has nice direct sum properties. This notion is used as a tool to prove the above results; it appears to be quite powerful and may be of independent interest.