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A Lower Bound on the Trace Norm of Boolean Matrices and its Applications

  • Tsun-Ming Cheung,
  • Hamed Hatami,
  • Kaave Hosseini,
  • Aleksandar Nikolov,
  • Toniann Pitassi,
  • Morgan Shirley

摘要

We present a simple method based on a variant of Hölder’s inequality to lower-bound the trace norm of Boolean matrices. As the main result, we obtain an exponential separation between the randomized decision tree depth and the spectral norm (i.e. the Fourier \(L_1\) L 1 -norm) of a Boolean function. This answers an open question of Cheung, Hatami, Hosseini, and Shirley (CCC 2023). As immediate consequences, we obtain the following results.