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Subexponential Size Hitting Sets for Bounded Depth Multilinear Formulas

In this paper we give subexponential size hitting sets for bounded depth multilinear arithmetic formulas. Using the known relation between black-box PIT and lower bounds we obtain lower bounds for these models. For depth-3 multilinear formulas, of size $\exp(n^δ)$, we give a hitting set of size $\exp(\tilde{O}(n^{2/3 + 2δ/3}))$. This implies a lower bound of $\exp(\tildeΩ(n^{1/2}))$ for depth-3 multilinear formulas, for some explicit polynomial. For depth-4 multilinear formulas, of size $\exp(n^δ)$, we give a hitting set of size $\exp(\tilde{O}(n^{2/3 + 4δ/3}))$. This implies a lower bound of $\exp(\tildeΩ(n^{1/4}))$ for depth-4 multilinear formulas, for some explicit polynomial. A regular formula consists of alternating layers of $+,\times$ gates, where all gates at layer $i$ have the same fan-in. We give a hitting set of size (roughly) $\exp\left(n^{1- δ} \right)$, for regular depth-$d$ multilinear formulas of size $\exp(n^δ)$, where $δ= O(\frac{1}{\sqrt{5}^d})$. This result implies a lower bound of roughly $\exp(\tildeΩ(n^{\frac{1}{\sqrt{5}^d}}))$ for such formulas. We note that better lower bounds are known for these models, but also that none of these bounds was achieved via construction of a hitting set. Moreover, no lower bound that implies such PIT results, even in the white-box model, is currently known. Our results are combinatorial in nature and rely on reducing the underlying formula, first to a depth-4 formula, and then to a read-once algebraic branching program (from depth-3 formulas we go straight to read-once algebraic branching programs).