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Boolean Functions: Noise Stability, Non-Interactive Correlation Distillation, and Mutual Information

  • Jiange Li*
  • , Muriel Medard
  • *Corresponding author for this work
  • Massachusetts Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Let T be the noise operator acting on Boolean functions f:{0,1nto 0, 1 , where in [0, 1/2] is the noise parameter. Given α >1 and fixed mean E f , which Boolean function f has the largest α -th moment E(Tf)α ? This question has close connections with noise stability of Boolean functions, the problem of non-interactive correlation distillation, and Courtade-Kumar's conjecture on the most informative Boolean function. In this paper, we characterize maximizers in some extremal settings, such as low noise (=(n) close to 0), high noise (=(n) close to 1/2), as well as when α =α (n) is large. Analogous results are also established in more general contexts, such as Boolean functions defined on discrete torus (Z/p Z)n and the problem of noise stability in a tree model.

Original languageEnglish
Article number9272787
Pages (from-to)778-789
Number of pages12
JournalIEEE Transactions on Information Theory
Volume67
Issue number2
DOIs
StatePublished - Feb 2021
Externally publishedYes

Keywords

  • Boolean function
  • mutual information
  • noise stability
  • non-interactive correlative distillation

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