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Lower Bounds for the Determinantal Complexity of Explicit Low Degree Polynomials

Published: 01 August 2011 Publication History

Abstract

The determinantal complexity of a polynomial f(x 1,x 2,…,x n ) is the minimum m such that f=det m (L(x 1,x 2,…,x n )), where L(x 1,x 2,…,x n ) is a matrix whose entries are affine forms in the x i s over some field $\mbox {$\mathbb {F}$}$.
Asymptotically tight lower bounds are proven for the determinantal complexity of the elementary symmetric polynomial $S^{d}_{n}$ of degree d in n variables, 2d-fold iterated matrix multiplication of the form 〈u|X 1 X 2X 2d |v〉, and the symmetric power sum polynomial $\sum_{i=1}^{n} x_{i}^{d}$, for any fixed d>1.
A restriction of determinantal computation is considered in which the underlying affine map λx.L(x) must satisfy a rank lowerability property: L mapping to m×m matrices is said to be r-lowerable, if there exists an $a\in \mbox {$\mathbb {F}$}^{n}$ such that rank (L(a))≤mr. In this model strongly nonlinear and exponential lower bounds are proved for several polynomial families. For example, for $S^{2d}_{n}$ it is proved that the determinantal complexity using r-lowerable maps is Ω(n d/(2dr)), for constants d and r with 2≤d+1≤r<2d. For r=2d−1 and d=⌊n 1/5−ε ⌋, a lower bound is given for $S^{2d}_{n}$ of magnitude $n^{\Omega(\epsilon n^{1/5-\epsilon})}$, for any ε∈(0,1/5).

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  1. Lower Bounds for the Determinantal Complexity of Explicit Low Degree Polynomials

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      Published In

      cover image Theory of Computing Systems
      Theory of Computing Systems  Volume 49, Issue 2
      August 2011
      340 pages

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      Springer-Verlag

      Berlin, Heidelberg

      Publication History

      Published: 01 August 2011

      Author Tags

      1. Arithmetic circuits
      2. Determinant versus permanent
      3. Elementary symmetric polynomial

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