Lower Bounds for the Determinantal Complexity of Explicit Low Degree Polynomials

  • Authors:
  • Maurice Jansen

  • Affiliations:
  • Center for Theory in Natural Sciences, Department of Computer Science, Aarhus University, Aarhus N, Denmark DK-8200

  • Venue:
  • CSR '09 Proceedings of the Fourth International Computer Science Symposium in Russia on Computer Science - Theory and Applications
  • Year:
  • 2009

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Abstract

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 , and the symmetric power sum polynomial $\sum_{i=1}^n x_i^d$, for any constant d 1. A restriction of determinantal computation is considered in which the underlying affine linear map must satisfy a rank lowerability property. In this model strongly nonlinear and exponential lower bounds are proven for several polynomial families. For example, for $S^{2d}_n$ it is proved that the determinantal complexity using so-called r -lowerable maps is ***(n d /(2d *** r )), for constants d and r with 2 ≤ d + 1 ≤ r d . In the most restrictive setting an $n^{\Omega(\epsilon n^{1/5-\epsilon})}$ lower bound is observed, for any *** *** (0, 1/5) and $d = \lfloor n^{1/5-\epsilon}\rfloor$.