Computer Science – Computational Complexity
Scientific paper
2010-07-22
Randomization, Relaxation, and Complexity in Polynomial Equation Solving, Amer. Math. Soc. (Ed.) (2011) 61-96
Computer Science
Computational Complexity
To appear in the AMS Contemporary Mathematics volume on Randomization, Relaxation, and Complexity in Polynomial Equation Solvi
Scientific paper
We deploy algebraic complexity theoretic techniques for constructing symmetric determinantal representations of for00504925mulas and weakly skew circuits. Our representations produce matrices of much smaller dimensions than those given in the convex geometry literature when applied to polynomials having a concise representation (as a sum of monomials, or more generally as an arithmetic formula or a weakly skew circuit). These representations are valid in any field of characteristic different from 2. In characteristic 2 we are led to an almost complete solution to a question of B\"urgisser on the VNP-completeness of the partial permanent. In particular, we show that the partial permanent cannot be VNP-complete in a finite field of characteristic 2 unless the polynomial hierarchy collapses.
Grenet Bruno
Kaltofen Erich
Koiran Pascal
Portier Natacha
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