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Conference Papers Year : 2016

On the Bit Complexity of Solving Bilinear Polynomial Systems

Abstract

We bound the Boolean complexity of computing isolating hyperboxes for all complex roots of systems of bilinear polynomials. The resultant of such systems admits a family of determinantal Sylvester-type formulas, which we make explicit by means of homological complexes. The computation of the determinant of the resultant matrix is a bottleneck for the overall complexity. We exploit the quasi-Toeplitz structure to reduce the problem to efficient matrix-vector products, corresponding to multivariate polynomial multiplication. For zero-dimensional systems, we arrive at a primitive element and a rational univariate representation of the roots. The overall bit complexity of our probabilistic algorithm is O_B(n^4 D^4 + n^2 D^4 τ), where n is the number of variables, D equals the bilinear Bezout bound, and τ is the maximum coefficient bitsize. Finally, a careful infinitesimal symbolic perturbation of the system allows us to treat degenerate and positive dimensional systems, thus making our algorithms and complexity analysis applicable to the general case.
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Dates and versions

hal-01401134 , version 1 (02-09-2019)

Identifiers

Cite

Ioannis Z. Emiris, Angelos Mantzaflaris, Elias Tsigaridas. On the Bit Complexity of Solving Bilinear Polynomial Systems. ISSAC '16 - 41st International Symposium on Symbolic and Algebraic Computation, Jul 2016, Waterloo, Canada. pp.215-222, ⟨10.1145/2930889.2930919⟩. ⟨hal-01401134⟩
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