Bi-polynomial rank and determinantal complexity.

作者: Akihiro Yabe

DOI:

关键词:

摘要: The permanent vs. determinant problem is one of the most important problems in theoretical computer science, and main target geometric complexity theory proposed by Mulmuley Sohoni. current best lower bound for determinantal d polynomial d^2/2, due to Mignon Ressayre 2004. Inspired their proof method, we introduce a natural rank concept polynomials, called bi-polynomial rank. related width an arithmetic branching program. homogeneous p even degree 2k defined as minimum n such that can be written summation products polynomials k. We prove gives complexity. As consequence, above improved (d-1)^2 + 1 over field reals. show computation formulated minimization problem. Applying concave technique, reduce lower-bounding proving positive semidefiniteness matrices, this new approach propose computational giving minimization, via techniques minimization. This also yields strategy attack

参考文章(14)
Meena Mahajan, V. Vinay, Determinant: Combinatorics, Algorithms, and Complexity Chicago Journal of Theoretical Computer Science. ,vol. 1997, ,(1997)
Farid Alizadeh, Interior Point Methods in Semidefinite Programming with Applications to Combinatorial Optimization Siam Journal on Optimization. ,vol. 5, pp. 13- 51 ,(1995) , 10.1137/0805002
Jin-Yi Cai, Xi Chen, Dong Li, Quadratic Lower Bound for Permanent Vs. Determinant in any Characteristic Computational Complexity. ,vol. 19, pp. 37- 56 ,(2010) , 10.1007/S00037-009-0284-2
L.G. Valiant, The complexity of computing the permanent Theoretical Computer Science. ,vol. 8, pp. 189- 201 ,(1979) , 10.1016/0304-3975(79)90044-6
Noam Nisan, Lower bounds for non-commutative computation symposium on the theory of computing. pp. 410- 418 ,(1991) , 10.1145/103418.103462
Meena Mahajan, V. Vinay, Determinant: Old Algorithms, New Insights SIAM Journal on Discrete Mathematics. ,vol. 12, pp. 474- 490 ,(1999) , 10.1137/S0895480198338827
P. M. Pardalos, J. B. Rosen, Methods for Global Concave Minimization: A Bibliographic Survey SIAM Review. ,vol. 28, pp. 367- 379 ,(1986) , 10.1137/1028106
J. E. Kelley, Jr., The Cutting-Plane Method for Solving Convex Programs Journal of The Society for Industrial and Applied Mathematics. ,vol. 8, pp. 703- 712 ,(1960) , 10.1137/0108053
Ketan D. Mulmuley, Milind Sohoni, Geometric Complexity Theory I: An Approach to the P vs. NP and Related Problems SIAM Journal on Computing. ,vol. 31, pp. 496- 526 ,(2002) , 10.1137/S009753970038715X