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        <identifier>oai:drops-oai.dagstuhl.de:10845</identifier>
        <datestamp>2024-03-06T10:46:51Z</datestamp>
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          <dc:title>Parity Helps to Compute Majority</dc:title>
          <dc:creator>Oliveira, Igor Carboni</dc:creator>
          <dc:creator>Santhanam, Rahul</dc:creator>
          <dc:creator>Srinivasan, Srikanth</dc:creator>
          <dc:subject>Computational Complexity</dc:subject>
          <dc:subject>Boolean Circuits</dc:subject>
          <dc:subject>Lower Bounds</dc:subject>
          <dc:subject>Parity</dc:subject>
          <dc:subject>Majority</dc:subject>
          <dc:description>We study the complexity of computing symmetric and threshold functions by constant-depth circuits with Parity gates, also known as AC^0[oplus] circuits. Razborov [Alexander A. Razborov, 1987] and Smolensky [Roman Smolensky, 1987; Roman Smolensky, 1993] showed that Majority requires depth-d AC^0[oplus] circuits of size 2^{Omega(n^{1/2(d-1)})}. By using a divide-and-conquer approach, it is easy to show that Majority can be computed with depth-d AC^0[oplus] circuits of size 2^{O~(n^{1/(d-1)})}. This gap between upper and lower bounds has stood for nearly three decades.&#13;
Somewhat surprisingly, we show that neither the upper bound nor the lower bound above is tight for large d. We show for d &gt;= 5 that any symmetric function can be computed with depth-d AC^0[oplus] circuits of size exp(O~(n^{2/3 * 1/(d-4)})). Our upper bound extends to threshold functions (with a constant additive loss in the denominator of the double exponent). We improve the Razborov-Smolensky lower bound to show that for d &gt;= 3 Majority requires depth-d AC^0[oplus] circuits of size 2^{Omega(n^{1/(2d-4)})}. For depths d &lt;= 4, we are able to refine our techniques to get almost-optimal bounds: the depth-3 AC^0[oplus] circuit size of Majority is 2^{Theta~(n^{1/2})}, while its depth-4 AC^0[oplus] circuit size is 2^{Theta~(n^{1/4})}.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Igor Carboni Oliveira and Rahul Santhanam and Srikanth Srinivasan</dc:contributor>
          <dc:date>2019</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 137, 34th Computational Complexity Conference (CCC 2019)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
          <dc:type>doc-type:ResearchArticle</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.CCC.2019.23</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-108453</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CCC.2019.23</dc:identifier>
          <dc:language>eng</dc:language>
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