Efficient computation of the characteristic polynomial

  • Authors:
  • Jean-Guillaume Dumas;Clément Pernet;Zhendong Wan

  • Affiliations:
  • Université Joseph Fourier, Grenoble, France;Université Joseph Fourier, Grenoble, France;University of Delaware, Newark, DE

  • Venue:
  • Proceedings of the 2005 international symposium on Symbolic and algebraic computation
  • Year:
  • 2005

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Abstract

We deal with the computation of the characteristic polynomial of dense matrices over word size finite fields and over the integers. We first present two algorithms for finite fields: one is based on Krylov iterates and Gaussian elimination. We compare it to an improvement of the second algorithm of Keller-Gehrig. Then we show that a generalization of Keller-Gehrig's third algorithm could improve both complexity and computational time. We use these results as a basis for the computation of the characteristic polynomial of integer matrices. We first use early termination and Chinese remaindering for dense matrices. Then a probabilistic approach, based on integer minimal polynomial and Hensel factorization, is particularly well suited to sparse and/or structured matrices.