ACM Home Page
Please provide us with feedback. Feedback
The Gröbner basis algorithm and subresultant theory
Full text PdfPdf (656 KB)
Source International Conference on Symbolic and Algebraic Computation archive
Proceedings of the international symposium on Symbolic and algebraic computation table of contents
Oxford, United Kingdom
Pages: 123 - 128  
Year of Publication: 1994
ISBN:0-89791-638-7
Author
Ana Maria Mandache  Johannes Kepler Univ., Linz, Austria
Sponsor
SIGSAM: ACM Special Interest Group on Symbolic and Algebraic Manipulation
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 6,   Downloads (12 Months): 24,   Citation Count: 0
Additional Information:

abstract   references   index terms   review  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/190347.190375
What is a DOI?

ABSTRACT

We investigate the possibility of constructing for Gro¨bner bases a concept similar to the one provided by subresultants for polynomial remainder sequences. Namely, we try to express the Gro¨bner basis polynomials obtained during the algorithm in terms of matrices having on each row the coefficients of a polynomial from the input basis, shifted by multiplication with a power product.We prove that for the general form of Buchberger's algorithm, the Gro¨bner basis polynomials not only cannot be expressed as determinant polynomials but, in general, they cannot even be obtained by a Gaussian elimination-like process from such matrices.For the Gro¨bner basis polynomials that can be expressed as determinant polynomials we show that we can detect common factors of the coefficients without computing gcd's. For achieving this we generalize Bareiss' matrix triangularization method.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
Bar68
E.H. Bareiss. Sylvester's Identity and Multistep integer-Preserving Gaussian Elimination. Mathematics of Computation, 22:565-578, 1968.
 
BC85
Bruno Buchberger and George E. Collins. Regularity in GrSbner Basis Construction. Talk at the Seminar on Complexity, Oberwolfach, Nov 1985.
 
Buc83
Bruno Buchberger. GrSbner Bases, Gaussian Elimination and Euclidean Algorithm. Invited coloquium talk at University of Grenoble, IMAG Institute, 1983.
 
Buc85
Bruno Buchberger. GrSbner Bases: An Algorithmic Method in Polynomial Ideal Theory. In N.K. Bose, editor, Multidimensional Systems Theory, pages 184-232. D. Reidel Publishing Company, Dordrecht-Boston-Lancaster, 1985.
 
Buc91
Bruno Buchberger. GrSbner Bases and Determinant Polynomials. Invited talk, Workshop on Symbolic Computation in honour of E. Engeler's 60-th birthday, Mar 1991.
 
BW93
T. Becket and V. Weispfenning. Gri~bner Bases. Springer Verlag, 1993.
 
GPT88
 
Laz83
 
Loo83
Riidiger Loos. Generalized Polynomial Remainder Sequences. In B. Buchberger, G. E. Collins, and R. Loos, editors, Computer Algebra, Symbolic and Algebraic Computation. Springer Verlag, 1983.


REVIEW

"Ralph Walter Wilkerson : Reviewer"

Mandache investigates connections between Buchberger's algorithm, polynomial remainder sequences, and subresultants and assumes the reader is familiar with all. Two principal results are obtained. First, it is not possible to obtai  more...