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Lower bounds for linear degeneracy testing

Published: 01 March 2005 Publication History
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  • Abstract

    In the late nineties, Erickson proved a remarkable lower bound on the decision tree complexity of one of the central problems of computational geometry: given n numbers, do any r of them add up to 0? His lower bound of Ω(nr/2⌉), for any fixed r, is optimal if the polynomials at the nodes are linear and at most r-variate. We generalize his bound to s-variate polynomials for s > r. Erickson's bound decays quickly as r grows and never reaches above pseudo-polynomial: we provide an exponential improvement. Our arguments are based on three ideas: (i) a geometrization of Erickson's proof technique; (ii) the use of error-correcting codes; and (iii) a tensor product construction for permutation matrices.

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      cover image Journal of the ACM
      Journal of the ACM  Volume 52, Issue 2
      March 2005
      189 pages
      ISSN:0004-5411
      EISSN:1557-735X
      DOI:10.1145/1059513
      Issue’s Table of Contents
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Publication History

      Published: 01 March 2005
      Published in JACM Volume 52, Issue 2

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      Author Tags

      1. Computational geometry
      2. linear decision trees
      3. lower bounds

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