Title
Lower Bounds for Depth-4 Formulas Computing Iterated Matrix Multiplication
Abstract
We study the arithmetic complexity of iterated matrix multiplication. We show that any multilinear homogeneous depth-4 arithmetic formula computing the product of d generic matrices of size n x n, IMMn,d, has size n(Omega(root d)) as long as d = n(O(1)). This improves the result of Nisan and Wigderson [Comput. Complexity, 6 (1997), pp. 217-234] for depth-4 set-multilinear formulas. We also study Sigma Pi([O(d/t)])Sigma Pi([t]) formulas, which are depth-4 formulas with the stated bounds on the fanins of the. gates. A recent depth reduction result of Tavenas [Lecture Notes in Comput. Sci. 8087, 2013, pp. 813-824] shows that any n-variate degree d = n(O(1)) polynomial computable by a circuit of size poly(n)can also be computed by a depth-4 Sigma Pi([O(d/t)])Sigma Pi([t]) formula of top fan-in n(O(d/t)). We show that any such formula computing IMMn,d has top fan-in n(Omega(d/t)), proving the optimality of Tavenas' result. This also strengthens a result of Kayal, Saha, and Saptharishi [Proceedings of STOC, 2014, pp. 146-153], which gives a similar lower bound for an explicit polynomial in VNP.
Year
DOI
Venue
2015
10.1137/140990280
SIAM JOURNAL ON COMPUTING
Keywords
Field
DocType
arithmetic circuits,depth four,iterated matrix product,shifted partial derivative measure,lower bound
Discrete mathematics,Combinatorics,Polynomial,Upper and lower bounds,Matrix (mathematics),Omega,Sigma,Multilinear map,Iterated function,Matrix multiplication,Mathematics
Journal
Volume
Issue
ISSN
44
5
0097-5397
Citations 
PageRank 
References 
16
0.64
17
Authors
4
Name
Order
Citations
PageRank
Hervé Fournier118518.10
Nutan Limaye213420.59
Guillaume Malod3544.53
Srikanth Srinivasan413221.31