Abstract
This paper reexamines univariate reduction from a toric geometric point of view. We begin by constructing a binomial variant of the u-resultant and then retailor the generalized characteristic polynomial to sparse polynomial systems. We thus obtain a fast new algorithm for univariate reduction and a better understanding of the underlying projections. As a corollary, we show that a refinement of Hilbert’s Tenth Problem is decidable in single-exponential time. We also obtain interesting new algebraic identities for the sparse resultant and certain multisymmetric functions.
This research was completed at City University of Hong Kong and was funded by an N.S.F. Mathematical Sciences Postdoctoral Fellowship.
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Rojas, J.M. (1997). Toric Laminations, Sparse Generalized Characteristic Polynomials, and a Refinement of Hubert’s Tenth Problem. In: Cucker, F., Shub, M. (eds) Foundations of Computational Mathematics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60539-0_30
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DOI: https://doi.org/10.1007/978-3-642-60539-0_30
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