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        <identifier>oai:drops-oai.dagstuhl.de:18289</identifier>
        <datestamp>2024-03-06T11:01:31Z</datestamp>
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          <dc:title>Criticality of AC⁰-Formulae</dc:title>
          <dc:creator>Harsha, Prahladh</dc:creator>
          <dc:creator>Molli, Tulasimohan</dc:creator>
          <dc:creator>Shankar, Ashutosh</dc:creator>
          <dc:subject>AC⁰ circuits</dc:subject>
          <dc:subject>AC⁰ formulae</dc:subject>
          <dc:subject>criticality</dc:subject>
          <dc:subject>switching lemma</dc:subject>
          <dc:subject>correlation bounds</dc:subject>
          <dc:description>Rossman [In Proc. 34th Comput. Complexity Conf., 2019] introduced the notion of criticality. The criticality of a Boolean function f : {0,1}ⁿ → {0,1} is the minimum λ ≥ 1 such that for all positive integers t and all p ∈ [0,1], Pr_{ρ∼ℛ_p}[DT_{depth}(f|_ρ) ≥ t] ≤ (pλ)^t, where ℛ_p refers to the distribution of p-random restrictions.&#13;
Håstad’s celebrated switching lemma shows that the criticality of any k-DNF is at most O(k). Subsequent improvements to correlation bounds of AC⁰-circuits against parity showed that the criticality of any AC⁰-circuit of size S and depth d+1 is at most O(log S)^d and any regular AC⁰-formula of size S and depth d+1 is at most O((1/d)⋅log S)^d. We strengthen these results by showing that the criticality of any AC⁰-formula (not necessarily regular) of size S and depth d+1 is at most O((log S)/d)^d, resolving a conjecture due to Rossman. &#13;
This result also implies Rossman’s optimal lower bound on the size of any depth-d AC⁰-formula computing parity [Comput. Complexity, 27(2):209-223, 2018.]. Our result implies tight correlation bounds against parity, tight Fourier concentration results and improved #SAT algorithm for AC⁰-formulae.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Prahladh Harsha and Tulasimohan Molli and Ashutosh Shankar</dc:contributor>
          <dc:date>2023</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 264, 38th Computational Complexity Conference (CCC 2023)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.CCC.2023.19</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-182898</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CCC.2023.19</dc:identifier>
          <dc:language>eng</dc:language>
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