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Open AccessJournal ArticleDOI

Probabilistic Communication Complexity Over The Reals

Dima Grigoriev
- 01 Dec 2008 - 
- Vol. 17, Iss: 4, pp 536-548
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TLDR
A sharp lower bound 2n on the communication complexity of recognizing the 2n-dimensional orthant is established and this bound holds also for the EMPTINESS and the KNAPSACK problems.
Abstract
Deterministic and probabilistic communication protocols are introduced in which parties can exchange the values of polynomials (rather than bits in the usual setting) It is established a sharp lower bound 2n on the communication complexity of recognizing the 2n-dimensional orthant, on the other hand the probabilistic communication complexity of recognizing it does not exceed 4 A polyhedron and a union of hyperplanes are constructed in $$\mathbb{R}^{2n}$$for which a lower bound n on the probabilistic communication complexity of recognizing each is proved As a consequence this bound holds also for the EMPTINESS and the KNAPSACK problems

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Citations
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Book ChapterDOI

Communication Complexity: Basics

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Interpolation by a Game

TL;DR: The main objective is to extend the communication complexity approach of 4, 5 to a wider class of proof systems and obtain an eeective interpolation in a form of a protocol of small real communication complexity.
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A Lower Bound for Randomized Algebraic Decision Trees

TL;DR: In this paper, the authors extend the lower bounds on the depth of algebraic decision trees to the case of randomized decision trees with two-sided error for languages being finite unions of hyperplanes and the intersections of halfspaces.
BookDOI

Fundamentals of Computation Theory

TL;DR: First nontrivial, in fact quadratic, randomized lower bounds on the problems like Knapsack and Bounded Integer Programming are derived.
Book ChapterDOI

Distributed Algorithmic Mechanism Design and Algebraic Communication Complexity

TL;DR: A general algebraic model is defined, where the involved functions can be computed with the natural operations additions, multiplications and divisions and possibly with comparisons, and various lower bound techniques are provided, mainly for fields of characteristic 0.
References
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Book

Communication Complexity

TL;DR: This chapter surveys the theory of two-party communication complexity and presents results regarding the following models of computation: • Finite automata • Turing machines • Decision trees • Ordered binary decision diagrams • VLSI chips • Networks of threshold gates.
Book

Complexity and Real Computation

TL;DR: This chapter discusses decision problems and Complexity over a Ring and the Fundamental Theorem of Algebra: Complexity Aspects.
Proceedings ArticleDOI

Some complexity questions related to distributive computing(Preliminary Report)

TL;DR: The quantity of interest, which measures the information exchange necessary for computing f, is the minimum number of bits exchanged in any algorithm.
Journal ArticleDOI

Solving systems of polynomial inequalities in subexponential time

TL;DR: The algorithm constructs a certain finite set of solutions for the family of components of connectivity of the set of all real solutions of the system in the case of a positive answer.
Book ChapterDOI

Communication Complexity: Basics

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