Computing Complex Dimension Faster and Deterministically

Fuente: arXiv
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Main Author: Rojas, J. Maurice
Format: Preprint
Published: 2000
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author Rojas, J. Maurice
author_facet Rojas, J. Maurice
contents We give a new complexity bound for calculating the complex dimension of an algebraic set. Our algorithm is completely deterministic and approaches the best recent randomized complexity bounds. We also present some new, significantly sharper quantitative estimates on rational univariate representations of roots of polynomial systems. As a corollary of the latter bounds, we considerably improve a recent algorithm of Koiran for deciding the emptiness of a hypersurface intersection over the complex numbers, given the truth of the Generalized Riemann Hypothesis (GRH).
format Preprint
id arxiv_https___arxiv_org_abs_math_0005028
institution arXiv
publishDate 2000
record_format arxiv
spellingShingle Computing Complex Dimension Faster and Deterministically
Rojas, J. Maurice
Algebraic Geometry
Numerical Analysis
14Q15,68W30,14M25,11R44
We give a new complexity bound for calculating the complex dimension of an algebraic set. Our algorithm is completely deterministic and approaches the best recent randomized complexity bounds. We also present some new, significantly sharper quantitative estimates on rational univariate representations of roots of polynomial systems. As a corollary of the latter bounds, we considerably improve a recent algorithm of Koiran for deciding the emptiness of a hypersurface intersection over the complex numbers, given the truth of the Generalized Riemann Hypothesis (GRH).
title Computing Complex Dimension Faster and Deterministically
topic Algebraic Geometry
Numerical Analysis
14Q15,68W30,14M25,11R44
url https://arxiv.org/abs/math/0005028