skip to main content
research-article

Truncated normal forms for solving polynomial systems

Published:16 February 2019Publication History
Skip Abstract Section

Abstract

In this poster we present the results of [10]. We consider the problem of finding the common roots of a set of polynomial functions defining a zero-dimensional ideal I in a ring R of polynomials over C. We propose a general algebraic framework to find the solutions and to compute the structure of the quotient ring R/I from the cokernel of a resultant map. This leads to what we call Truncated Normal Forms (TNFs). Algorithms for generic dense and sparse systems follow from the classical resultant constructions. In the presented framework, the concept of a border basis is generalized by relaxing the conditions on the set of basis elements. This allows for algorithms to adapt the choice of basis in order to enhance the numerical stability. We present such an algorithm. The numerical experiments show that the methods allow to compute all zeros of challenging systems (high degree, with a large number of solutions) in small dimensions with high accuracy.

References

  1. E. Cattani, D. A. Cox, G. Chèze, A. Dickenstein, M. Elkadi, I. Z. Emiris, A. Galligo, A. Kehrein, M. Kreuzer, and B. Mourrain. Solving polynomial equations: foundations, algorithms, and applications (Algorithms and Computation in Mathematics). 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. D. A. Cox, J. Little, and D. O'Shea. Ideals, varieties, and algorithms, volume 3. Springer, 1992.Google ScholarGoogle Scholar
  3. D. A. Cox, J. Little, and D. O'Shea. Using algebraic geometry, volume 185. Springer Science & Business Media, 2006.Google ScholarGoogle Scholar
  4. M. Elkadi and B. Mourrain. Introduction à la résolution des systèmes polynomiaux, volume 59 of Mathématiques et Applications. Springer, 2007.Google ScholarGoogle Scholar
  5. I. Z. Emiris and B. Mourrain. Matrices in Elimination Theory. Journal of Symbolic Computation, 28(1--2):3--44, 1999.Google ScholarGoogle Scholar
  6. M. Joswig, B. Müller, and A. Paffenholz. polymake and lattice polytopes. In 21st International Conference on Formal Power Series and Algebraic Combinatorics (FPSAC 2009), Discrete Math. Theor. Comput. Sci. Proc., AK, pages 491--502. Assoc. Discrete Math. Theor. Comput. Sci., Nancy, 2009.Google ScholarGoogle Scholar
  7. B. Mourrain. A New Criterion for Normal Form Algorithms. In Proceedings of the 13th International Symposium on Applied Algebra, Algebraic Algorithms and Error-Correcting Codes, LNCS, pages 430--443, London, UK, 1999. Springer-Verlag. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. H. J. Stetter. Matrix eigenproblems are at the heart of polynomial system solving. ACM SIGSAM Bulletin, 30(4):22--25, 1996. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. B. Sturmfels. Solving Systems of Polynomial Equations. Number 97 in CBMS Regional Conferences. Amer. Math. Soc., 2002.Google ScholarGoogle Scholar
  10. S. Telen, B. Mourrain, and M. Van Barel. Solving polynomial systems via a stabilized representation of quotient algebras. arXiv preprint arXiv:1711.04543, 2017.Google ScholarGoogle Scholar
  11. S. Telen and M. Van Barel. A stabilized normal form algorithm for generic systems of polynomial equations. Journal of Computational and Applied Mathematics, 342:119--132, 2018.Google ScholarGoogle ScholarCross RefCross Ref
  12. J. Verschelde. Algorithm 795: PHCpack: A general-purpose solver for polynomial systems by homotopy continuation. ACM Transactions on Mathematical Software (TOMS), 25(2):251--276, 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Truncated normal forms for solving polynomial systems
      Index terms have been assigned to the content through auto-classification.

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in

      Full Access

      • Published in

        cover image ACM Communications in Computer Algebra
        ACM Communications in Computer Algebra  Volume 52, Issue 3
        September 2018
        67 pages
        ISSN:1932-2240
        DOI:10.1145/3313880
        Issue’s Table of Contents

        Copyright © 2019 Authors

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 16 February 2019

        Check for updates

        Qualifiers

        • research-article

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader