Improved Polynomial Identity Testing for Read-Once Formulas
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In this paper we give the first deterministic polynomial time algorithm for testing whether a diagonal depth-3 circuit C(x 1,...,x n ) (i.e. C is a sum of powers of linear functions) is zero. We also prove an exponential lower bound showing that such a circuit will compute determinant or permanent only if there are exponentially many linear functions. Our techniques generalize to the following new results: 1 Suppose we are given a depth-4 circuit (over any field $\mathbb{F}$) of the form: $$C({x_1},\ldots,{x_n}):=\sum_{i=1}^k L_{i,1}^{e_{i,1}}\cdots L_{i,s}^{e_{i,s}}$$where, each L i,j is a sum of univariate polynomials in $\mathbb{F}[{x_1},\ldots,{x_n}]$. We can test whether C is zero deterministically in poly(size(C), max i {(1 + e i,1) 驴 (1 + e i,s )}) field operations. In particular, this gives a deterministic polynomial time identity test for general depth-3 circuits C when the d: =degree(C) is logarithmic in the size(C). 1 We prove that if the above circuit C(x 1,...,x n ) computes the determinant (or permanent) of an m脳m formal matrix with a "small" $s=o\left(\frac{m}{\log m}\right)$ then k = 2 驴(m). Our lower bounds work for all fields $\mathbb{F}$. (Previous exponential lower bounds for depth-3 only work for nonzero characteristic.) 1 We also present an exponentially faster identity test for homogeneous diagonal circuits (deterministically in poly(nklog(d)) field operations over finite fields).