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Irredundant triangular decomposition

  • Courant Institute of Mathematical Sciences
  • North Carolina State University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Triangular decomposition is a classic, widely used and well-developed way to represent algebraic varieties with many applications. In particular, there exist • sharp degree bounds for a single triangular set in terms of intrinsic data of the variety it represents, • powerful randomized algorithms for computing triangular decompositions using Hensel lifting in the zero-dimensional case and for irreducible varieties. However, in the general case, most of the algorithms computing triangular decompositions produce embedded components, which makes it impossible to directly apply the intrinsic degree bounds. This, in turn, is an obstacle for efficiently applying Hensel lifting due to the higher degrees of the output polynomials and the lower probability of success. In this paper, we give an algorithm to compute an irredundant triangular decomposition of an arbitrary algebraic set W defined by a set of polynomials in C[x1, x2, . . ., xn]. Using this irredundant triangular decomposition, we are able to give intrinsic degree bounds for the polynomials appearing in the triangular sets and apply Hensel lifting techniques. Our decomposition algorithm is randomized, and we analyze the probability of success.

Original languageEnglish
Title of host publicationISSAC 2018 - Proceedings of the 2018 ACM International Symposium on Symbolic and Algebraic Computation
PublisherAssociation for Computing Machinery
Pages311-318
Number of pages8
ISBN (Electronic)9781450355506
DOIs
Publication statusPublished - 11 Jul 2018
Externally publishedYes
Event43rd ACM International Symposium on Symbolic and Algebraic Computation, ISSAC 2018 - New York, United States
Duration: 16 Jul 201819 Jul 2018

Publication series

NameProceedings of the International Symposium on Symbolic and Algebraic Computation, ISSAC

Conference

Conference43rd ACM International Symposium on Symbolic and Algebraic Computation, ISSAC 2018
Country/TerritoryUnited States
CityNew York
Period16/07/1819/07/18

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