Bounds for orders of derivatives in differential elimination algorithms

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

Abstract

We compute an upper bound for the orders of derivatives in the Rosenfeld-Gröbner algorithm. This algorithm computes a regular decomposition of a radical differential ideal in the ring of differential polynomials over a differential field of characteristic zero with an arbitrary number of commuting derivations. This decomposition can then be used to test for membership in the given radical differential ideal. In particular, this algorithm allows us to determine whether a system of polynomial PDEs is consistent. Previously, the only known order upper bound was given by Golubitsky, Kondratieva, Moreno Maza, and Ovchinnikov for the case of a single derivation. We achieve our bound by associating to the algorithm antichain sequences whose lengths can be bounded using the results of Leon Sanchez and Ovchinnikov.

Original languageEnglish
Title of host publicationISSAC 2016 - Proceedings of the 2016 ACM International Symposium on Symbolic and Algebraic Computation
EditorsMarkus Rosenkranz
PublisherAssociation for Computing Machinery
Pages239-246
Number of pages8
ISBN (Electronic)9781450343800
DOIs
Publication statusPublished - 20 Jul 2016
Externally publishedYes
Event41st ACM International Symposium on Symbolic and Algebraic Computation, ISSAC 2016 - Waterloo, Canada
Duration: 20 Jul 201622 Jul 2016

Publication series

NameProceedings of the International Symposium on Symbolic and Algebraic Computation, ISSAC
Volume20-22-July-2016

Conference

Conference41st ACM International Symposium on Symbolic and Algebraic Computation, ISSAC 2016
Country/TerritoryCanada
CityWaterloo
Period20/07/1622/07/16

Keywords

  • Polynomial differential equations
  • computational complexity
  • differential elimination algorithms

Fingerprint

Dive into the research topics of 'Bounds for orders of derivatives in differential elimination algorithms'. Together they form a unique fingerprint.

Cite this