Complexity of Sparse Polynomial Solving: Homotopy on Toric Varieties and the Condition Metric

This paper investigates the cost of solving systems of sparse polynomial equations by homotopy continuation. First, a space of systems of n -variate polynomial equations is specified through n monomial bases. The natural locus for the roots of those systems is known to be a certain toric variety. Th...

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Veröffentlicht in:Foundations of computational mathematics 2019-02, Vol.19 (1), p.1-53
1. Verfasser: Malajovich, Gregorio
Format: Artikel
Sprache:eng
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Zusammenfassung:This paper investigates the cost of solving systems of sparse polynomial equations by homotopy continuation. First, a space of systems of n -variate polynomial equations is specified through n monomial bases. The natural locus for the roots of those systems is known to be a certain toric variety. This variety is a compactification of ( C \ { 0 } ) n , dependent on the monomial bases. A toric Newton operator is defined on that toric variety. Smale’s alpha theory is generalized to provide criteria of quadratic convergence. Two condition numbers are defined, and a higher derivative estimate is obtained in this setting. The Newton operator and related condition numbers turn out to be invariant through a group action related to the momentum map. A homotopy algorithm is given and is proved to terminate after a number of Newton steps which is linear on the condition length of the lifted homotopy path. This generalizes a result from Shub (Found Comput Math 9(2):171–178, 2009 . https://doi.org/10.1007/s10208-007-9017-6 ).
ISSN:1615-3375
1615-3383
DOI:10.1007/s10208-018-9375-2