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          <dc:title>Shrinkage Under Random Projections, and Cubic Formula Lower Bounds for AC0 (Extended Abstract)</dc:title>
          <dc:creator>Filmus, Yuval</dc:creator>
          <dc:creator>Meir, Or</dc:creator>
          <dc:creator>Tal, Avishay</dc:creator>
          <dc:subject>De Morgan formulas</dc:subject>
          <dc:subject>KRW Conjecture</dc:subject>
          <dc:subject>shrinkage</dc:subject>
          <dc:subject>random restrictions</dc:subject>
          <dc:subject>random projections</dc:subject>
          <dc:subject>bounded depth circuits</dc:subject>
          <dc:subject>constant depth circuits</dc:subject>
          <dc:subject>formula complexity</dc:subject>
          <dc:description>Håstad showed that any De Morgan formula (composed of AND, OR and NOT gates) shrinks by a factor of O(p²) under a random restriction that leaves each variable alive independently with probability p [SICOMP, 1998]. Using this result, he gave an Ω̃(n³) formula size lower bound for the Andreev function, which, up to lower order improvements, remains the state-of-the-art lower bound for any explicit function. &#13;
In this work, we extend the shrinkage result of Håstad to hold under a far wider family of random restrictions and their generalization - random projections. Based on our shrinkage results, we obtain an Ω̃(n³) formula size lower bound for an explicit function computed in AC⁰. This improves upon the best known formula size lower bounds for AC⁰, that were only quadratic prior to our work. In addition, we prove that the KRW conjecture [Karchmer et al., Computational Complexity 5(3/4), 1995] holds for inner functions for which the unweighted quantum adversary bound is tight. In particular, this holds for inner functions with a tight Khrapchenko bound.&#13;
Our random projections are tailor-made to the function’s structure so that the function maintains structure even under projection - using such projections is necessary, as standard random restrictions simplify AC⁰ circuits. In contrast, we show that any De Morgan formula shrinks by a quadratic factor under our random projections, allowing us to prove the cubic lower bound.&#13;
Our proof techniques build on the proof of Håstad for the simpler case of balanced formulas. This allows for a significantly simpler proof at the cost of slightly worse parameters. As such, when specialized to the case of p-random restrictions, our proof can be used as an exposition of Håstad’s result.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Yuval Filmus and Or Meir and Avishay Tal</dc:contributor>
          <dc:date>2021</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 185, 12th Innovations in Theoretical Computer Science Conference (ITCS 2021)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ITCS.2021.89</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-136281</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ITCS.2021.89</dc:identifier>
          <dc:language>eng</dc:language>
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