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          <dc:title>AC^0[p] Lower Bounds Against MCSP via the Coin Problem</dc:title>
          <dc:creator>Golovnev, Alexander</dc:creator>
          <dc:creator>Ilango, Rahul</dc:creator>
          <dc:creator>Impagliazzo, Russell</dc:creator>
          <dc:creator>Kabanets, Valentine</dc:creator>
          <dc:creator>Kolokolova, Antonina</dc:creator>
          <dc:creator>Tal, Avishay</dc:creator>
          <dc:subject>Minimum Circuit Size Problem (MCSP)</dc:subject>
          <dc:subject>circuit lower bounds</dc:subject>
          <dc:subject>AC0[p]</dc:subject>
          <dc:subject>coin problem</dc:subject>
          <dc:subject>hybrid argument</dc:subject>
          <dc:subject>MKTP</dc:subject>
          <dc:subject>biased random boolean functions</dc:subject>
          <dc:description>Minimum Circuit Size Problem (MCSP) asks to decide if a given truth table of an n-variate boolean function has circuit complexity less than a given parameter s. We prove that MCSP is hard for constant-depth circuits with mod p gates, for any prime p &gt;= 2 (the circuit class AC^0[p]). Namely, we show that MCSP requires d-depth AC^0[p] circuits of size at least exp(N^{0.49/d}), where N=2^n is the size of an input truth table of an n-variate boolean function. Our circuit lower bound proof shows that MCSP can solve the coin problem: distinguish uniformly random N-bit strings from those generated using independent samples from a biased random coin which is 1 with probability 1/2+N^{-0.49}, and 0 otherwise. Solving the coin problem with such parameters is known to require exponentially large AC^0[p] circuits. Moreover, this also implies that MAJORITY is computable by a non-uniform AC^0 circuit of polynomial size that also has MCSP-oracle gates. The latter has a few other consequences for the complexity of MCSP, e.g., we get that any boolean function in NC^1 (i.e., computable by a polynomial-size formula) can also be computed by a non-uniform polynomial-size AC^0 circuit with MCSP-oracle gates.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Alexander Golovnev and Rahul Ilango and Russell Impagliazzo and Valentine Kabanets and Antonina Kolokolova and Avishay Tal</dc:contributor>
          <dc:date>2019</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 132, 46th International Colloquium on Automata, Languages, and Programming (ICALP 2019)</dc:relation>
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          <dc:identifier>doi:10.4230/LIPIcs.ICALP.2019.66</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-106422</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2019.66</dc:identifier>
          <dc:language>eng</dc:language>
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