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          <dc:title>Subexponential Size Hitting Sets for Bounded Depth Multilinear Formulas</dc:title>
          <dc:creator>Oliveira, Rafael</dc:creator>
          <dc:creator>Shpilka, Amir</dc:creator>
          <dc:creator>Volk, Ben Lee</dc:creator>
          <dc:subject>Arithmetic Circuits</dc:subject>
          <dc:subject>Derandomization</dc:subject>
          <dc:subject>Polynomial Identity Testing</dc:subject>
          <dc:description>In this paper we give subexponential size hitting sets for bounded depth multilinear arithmetic formulas. Using the known relation &#13;
between black-box PIT and lower bounds we obtain lower bounds for these models. &#13;
&#13;
For depth-3 multilinear formulas, of size exp(n^delta), we give a hitting set of size exp(~O(n^(2/3 + 2*delta/3))). This implies a lower bound of exp(~Omega(n^(1/2))) for depth-3 multilinear formulas, for some explicit polynomial. &#13;
&#13;
For depth-4 multilinear formulas, of size exp(n^delta), we give a hitting set of size exp(~O(n^(2/3 + 4*delta/3)). This implies a lower bound of exp(~Omega(n^(1/4))) for depth-4 multilinear formulas, for some explicit polynomial. &#13;
&#13;
A regular formula consists of  alternating layers of +,* gates, where all gates at layer i have the same fan-in. We give a &#13;
hitting set of size (roughly) exp(n^(1-delta)), for regular depth-d multilinear formulas of size exp(n^delta), where delta = O(1/sqrt(5)^d)). This result implies a lower bound of roughly exp(~Omega(n^(1/sqrt(5)^d))) for such formulas. &#13;
&#13;
We note that better lower bounds are known for these models, but also that none of these bounds was achieved via construction of &#13;
a hitting set. Moreover, no lower bound that implies such PIT results, even in the white-box model, is  currently known. &#13;
&#13;
Our results are combinatorial in nature and rely on reducing the underlying formula, first to a depth-4 formula, and then to a &#13;
read-once algebraic branching program (from depth-3 formulas we go straight to read-once algebraic branching programs).</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Rafael Oliveira and Amir Shpilka and Ben Lee Volk</dc:contributor>
          <dc:date>2015</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 33, 30th Conference on Computational Complexity (CCC 2015)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
          <dc:type>doc-type:ResearchArticle</dc:type>
          <dc:type>publishedVersion</dc:type>
          <dc:format>application/pdf</dc:format>
          <dc:identifier>doi:10.4230/LIPIcs.CCC.2015.304</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-50548</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CCC.2015.304</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/3.0/legalcode</dc:rights>
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