Abstract
One of the main problems in the treatment of rational functions consists in representing them suitably for the purpose of their symbolic and algebraic manipulation. One can approach this problem by means of Hankel matrices if an efficient method for computing ranks is available. In this paper, a modular algorithm for determining the rank of a Hankel matrix with entries that are multivariate polynomials over the integers is presented. The algorithm is based on modular techniques, which consist in computing the rank of Hankel matrices over finite fields by a special algorithm that needsO(n2) arithmetic operations, wheren is the order of the matrix. The general solution is achieved by determining the maximum of the ranks computed over the finite fields.
The worst case complexity of the algorithm isO(nr+3Gr+nr+2Gr+1) logn× log2 L, whereG andL are some appropriate bounds for the degree and the norm of the entries respectively.
Similar content being viewed by others
Explore related subjects
Discover the latest articles and news from researchers in related subjects, suggested using machine learning.References
Brent, R. P., Gustavson, F. G., Yun, D. Y. Y.: Fast Solution of Toeplitz system of equations and computation of Padé approximants. J. Algorithms1, 259–295 (1980)
Brown, W. S.: On Euclid's Algorithm and the Computation of Polynomial Greatest Common Divisors. JACM18 (4), (1971)
Buchberger, B., Collins, G. E., Loos, R. (eds.): Computer Algebra: Symbolic and Algebraic Computation. Vienna: Springer 1983
Collins, G. E.: The Calculation of Multivariate Polynomial Resultants. JACM19, 515–532 (1971)
Gantmacher, F. R.: Theory of Matrices. New York: Chelsea 1960
Heinig, G., Rost, K.: Algebraic Methods for Toeplitz-like Matrices and Operators. Basel: Birkhäuser 1984
Llovet, J., Sendra, J. R.: Hankel Matrices and Polynomials. Lecture Notes in Computer Science, vol. 356, pp. 321–333. Berlin, Heidelberg, New York: Springer 1989
Sendra, J. R.: Algoritmos Simbólicos de Hankel en Algebra Computacional. Tesis Doctoral, Universidad de Alcalá 1990
Sendra, J. R., Llovet, J.: An Extended Polynomial GCD algorithm using Hankel Matrices. J. Comput. (accepted)
Author information
Authors and Affiliations
Additional information
Partially supported by A.I. Spain-Austria HU-007 and University of Alcala Project 92/39
Rights and permissions
About this article
Cite this article
Sendra, J.R., Llovet, J. Rank of a Hankel matrix over Z[x1,..., xr]. AAECC 3, 245–256 (1992). https://doi.org/10.1007/BF01294834
Received:
Issue Date:
DOI: https://doi.org/10.1007/BF01294834