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        <identifier>oai:drops-oai.dagstuhl.de:17142</identifier>
        <datestamp>2024-03-06T10:59:04Z</datestamp>
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          <dc:title>Range Avoidance for Low-Depth Circuits and Connections to Pseudorandomness</dc:title>
          <dc:creator>Guruswami, Venkatesan</dc:creator>
          <dc:creator>Lyu, Xin</dc:creator>
          <dc:creator>Wang, Xiuhan</dc:creator>
          <dc:subject>Pseudorandomness</dc:subject>
          <dc:subject>Explicit constructions</dc:subject>
          <dc:subject>Low-depth circuits</dc:subject>
          <dc:subject>Boolean function analysis</dc:subject>
          <dc:subject>Hitting sets</dc:subject>
          <dc:description>In the range avoidance problem, the input is a multi-output Boolean circuit with more outputs than inputs, and the goal is to find a string outside its range (which is guaranteed to exist). We show that well-known explicit construction questions such as finding binary linear codes achieving the Gilbert-Varshamov bound or list-decoding capacity, and constructing rigid matrices, reduce to the range avoidance problem of log-depth circuits, and by a further recent reduction [Ren, Santhanam, and Wang, FOCS 2022] to NC⁰₄ circuits where each output depends on at most 4 input bits. &#13;
On the algorithmic side, we show that range avoidance for NC⁰₂ circuits can be solved in polynomial time. We identify a general condition relating to correlation with low-degree parities that implies that any almost pairwise independent set has some string that avoids the range of every circuit in the class. We apply this to NC⁰ circuits, and to small width CNF/DNF and general De Morgan formulae (via a connection to approximate-degree), yielding non-trivial small hitting sets for range avoidance in these cases.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Venkatesan Guruswami and Xin Lyu and Xiuhan Wang</dc:contributor>
          <dc:date>2022</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 245, Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2022)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.APPROX/RANDOM.2022.20</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-171428</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.APPROX/RANDOM.2022.20</dc:identifier>
          <dc:language>eng</dc:language>
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