Some lower bounds for the complexity of the linear programming feasibility problem over the reals

  • Authors:
  • Rafael Grimson;Bart Kuijpers

  • Affiliations:
  • Theoretical Computer Science Group, Hasselt University and Transnational University of Limburg, Belgium and Departamento de Matemática, Universidad de Buenos Aires, Argentina;Theoretical Computer Science Group, Hasselt University and Transnational University of Limburg, Belgium

  • Venue:
  • Journal of Complexity
  • Year:
  • 2009

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Abstract

We analyze the arithmetic complexity of the linear programming feasibility problem over the reals. For the case of polyhedra defined by 2n half-spaces in R^n we prove that the set I^(^2^n^,^n^), of parameters describing nonempty polyhedra, has an exponential number of limiting hypersurfaces. From this geometric result we obtain, as a corollary, the existence of a constant c1 such that, if dense or sparse representation is used to code polynomials, the length of any quantifier-free formula expressing the set I^(^2^n^,^n^) is bounded from below by @W(c^n). Other related complexity results are stated; in particular, a lower bound for algebraic computation trees based on the notion of limiting hypersurface is presented.