DocumentCode
180791
Title
On the Power of Homogeneous Depth 4 Arithmetic Circuits
Author
Kumar, Manoj ; Saraf, Shubhangi
Author_Institution
Dept. of Comput. Sci., Rutgers Univ., Piscataway, NJ, USA
fYear
2014
fDate
18-21 Oct. 2014
Firstpage
364
Lastpage
373
Abstract
We prove exponential lower bounds on the size of homogeneous depth 4 arithmetic circuits computing an explicit polynomial in VP. Our results hold for the Iterated Matrix Multiplication polynomial - in particular we show that any homogeneous depth 4 circuit computing the (1, 1) entry in the product of n generic matrices of dimension nO(1) must have size nΩ(√n). Our results strengthen previous works in two significant ways. 1) Our lower bounds hold for a polynomial in VP. Prior to our work, Kayal et al [KLSSa] proved an exponential lower bound for homogeneous depth 4 circuits (over fields of characteristic zero) computing a poly in VNP. The best known lower bounds for a depth 4 homogeneous circuit computing a poly in VP was the bound of nΩ(log n) by [KLSSb], [KLSSa]. Our exponential lower bounds also give the first exponential separation between general arithmetic circuits and homogeneous depth 4 arithmetic circuits. In particular they imply that the depth reduction results of Koiran [Koi12] and Tavenas [Tav13] are tight even for reductions to general homogeneous depth 4 circuits (without the restriction of bounded bottom fanin). 2) Our lower bound holds over all fields. The lower bound of [KLSSa] worked only over fields of characteristic zero. Prior to our work, the best lower bound for homogeneous depth 4 circuits over fields of positive characteristic was nΩ(log n) [KLSSb], [KLSSa].
Keywords
computational complexity; digital arithmetic; iterative methods; matrix multiplication; VNP; arithmetic circuits; depth reduction; exponential lower bounds; generic matrices; homogeneous depth 4 circuits; homogeneous depth circuits; iterated matrix multiplication polynomial; Complexity theory; Computer science; Educational institutions; Input variables; Logic gates; Polynomials; Upper bound; Lower bounds; arithmetic circuits; depth reduction;
fLanguage
English
Publisher
ieee
Conference_Titel
Foundations of Computer Science (FOCS), 2014 IEEE 55th Annual Symposium on
Conference_Location
Philadelphia, PA
ISSN
0272-5428
Type
conf
DOI
10.1109/FOCS.2014.46
Filename
6979021
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