Volume 1 (2005) Article 8 pp. 149-176

A Non-linear Time Lower Bound for Boolean Branching Programs

by Miklós Ajtai

Received: October 6, 2004
Revised: May 5, 2005
Published: October 5, 2005
DOI: 10.4086/toc.2005.v001a008

Download article from ToC site:
[PS (476K)]    [PS.GZ (138K)]    [PS.ZIP (138K)]
[PDF (286K)]    [DVI (253K)]    [TeX (102K)]
Misc.:
[HTML Bibliography] [Bibliography Source] [BibTeX] 
[About the Author(s)]
Keywords: complexity theory, lower bounds, space complexity, branching programs, Hankel matrices, matrix rigidity
Categories: complexity theory, lower bounds, branching programs, matrix rigidity
ACM Classification: F.2.2, F.2.3
AMS Classification: 68Q17, 68Q15

Abstract: [Plain Text Version]

We give an exponential lower bound for the size of any linear-time Boolean branching program computing an explicitly given function. More precisely, we prove that for all positive integers k and for all sufficiently small &epsilon > 0, if n is sufficiently large then there is no Boolean (or 2-way) branching program of size less than 2εn which, for all inputs X⊆ {0,1,...,n-1}, computes in time kn the parity of the number of elements of the set of all pairs < x,y > with the property x∈ X, y∈ X, x<y, x+y∈ X. For the proof of this fact we show that if A=(aij)ni,j=0 is a random n by n matrix over the field with 2 elements with the condition that "A is constant on each minor diagonal," then with high probability the rank of each δn by δn submatrix of A is at least |logδ|-2n, where c>0 is an absolute constant and n is sufficiently large with respect to δ. (A preliminary version of this paper has appeared in the Proceedings of the 40th IEEE Symposium on Foundations of Computer Science.)