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arXiv · 2002.00124

Efficient q-Integer Linear Decomposition of Multivariate Polynomials

Mark Giesbrecht·Hui Huang·George Labahn·Eugene Zima
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Abstract

We present two new algorithms for the computation of the q-integer linear decomposition of a multivariate polynomial. Such a decomposition is essential for the treatment of q-hypergeometric symbolic summation via creative telescoping and for describing the q-counterpart of Ore-Sato theory. Both of our algorithms require only basic integer and polynomial arithmetic and work for any unique factorization domain containing the ring of integers. Complete complexity analyses are conducted for both our algorithms and two previous algorithms in the case of multivariate integer polynomials, showing that our algorithms have better theoretical performances. A Maple implementation is also included which suggests that our algorithms are also much faster in practice than previous algorithms.

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Mark Giesbrecht, Hui Huang, George Labahn, Eugene Zima. 2020-02-01. Efficient q-Integer Linear Decomposition of Multivariate Polynomials. https://arxiv.org/abs/2002.00124

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