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An Exponential Lower Bound for Homogeneous Depth Four Arithmetic Formulas
38
Citations
28
References
2014
Year
Unknown Venue
Theory Of ComputingHomogeneous Depth FourGeometry Of NumberComputational Complexity TheoryEngineeringComputational Number TheoryAlgebraic ComplexityExponential Lower BoundAnalytic Number TheoryMathematical FoundationsLower BoundComputational ComplexityTime ComplexityComputer ScienceDiscrete MathematicsAsymptotic FormulaSize Lower Bound
We show here a 2Ω(√d ⋅ log N) size lower bound for homogeneous depth four arithmetic formulas. That is, we give an explicit family of polynomials of degree d on N variables (with N = d3 in our case) with 0, 1-coefficients such that for any representation of a polynomial f in this family of the form f = Σi ∏j Qij, where the Qij's are homogeneous polynomials (recall that a polynomial is said to be homogeneous if all its monomials have the same degree), it must hold that ∑i, j (Number of monomials of Qij)) ≥2Ω(√d ⋅log N). The above mentioned family, which we refer to as the Nisan-Wigderson design-based family of polynomials, is in the complexity class VNP. Our work builds on recent lower bound results [1], [2], [3], [4], [5] and yields an improved quantitative bound as compared to the quasi-polynomial lower bound from an earlier work of the same authors and the NΩ(log log N) lower bound in the independent work of [7].
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