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Small Complete Arcs in ProjectivePlanes
Authors:J.?H.?Kim  author-information"  >  author-information__contact u-icon-before"  >  mailto:jehkim@microsoft.com"   title="  jehkim@microsoft.com"   itemprop="  email"   data-track="  click"   data-track-action="  Email author"   data-track-label="  "  >Email author,V.?H.?Vu
Affiliation:(1) Microsoft Research, Microsoft Corporation, Redmond, WA 98052, USA;(2) Department of Mathematics, UCSD, La Jolla, CA 92093, USA
Abstract:In the late 1950rsquos, B. Segre introduced the fundamentalnotion of arcs and complete arcs [48,49]. An arc in a filigniteprojective plane is a set of points with no three on a line andit is complete if cannot be extended without violating thisproperty. Given a projective plane $$
{user1{P}}
$$, determining $$
n{left( {user1{P}} right)}
$$, the size of itssmallest complete arc, has been a major open question in finitegeometry for several decades. Assume that $$
{user1{P}}
$$ has orderq, it was shown by Lunelliand Sce [41], more than 40 years ago, that $$
{left( {user1{P}} right)} geqslant {sqrt {2q} }
$$. Apart from this bound,practically nothing was known about $$
n{left( {user1{P}} right)}
$$ , except for the case $$
{user1{P}}
$$ is the Galois plane. Forthis case, the best upper bound, prior to this paper, wasO(q 3/4)obtained by Szodblacnyi using the properties of the Galois fieldGF(q).In this paper, we prove that $$
n{left( {user1{P}} right)} leqslant {sqrt q }{kern 1pt} log ^{c} q
$$ for any projective plane$$
{user1{P}}
$$ of orderq, wherec is a universal constant.Together with Lunelli-Scersquos lower bound, our result determines $$
n{left( {user1{P}} right)}
$$ up to a polylogarithmicfactor. Our proof uses a probabilistic method known as thedynamic random construction or Rödlrsquos nibble. The proof alsogives a quick randomized algorithm which produces a smallcomplete arc with high probability.The key ingredient of our proof is a new concentrationresult, which applies for non-Lipschitz functions and is ofindependent interest.* Research supported in part by grant RB091G-VU fromUCSD, by NSF grant DMS-0200357 and by an A. Sloanfellowship.Part of this work was done at AT&T Bell Labs andMicrosoft Research
Keywords:05B25
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