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A stochastic approach for noise stability on the hypercubeProbability
|Speaker:||Dan Mikulincer, MIT|
|Start time:||Tue, May 16 2023, 1:10PM|
We revisit the notion of noise stability in the hypercube and show how one can replace the usual heat semigroup with more general stochastic processes. We will then introduce a re-normalized Brownian motion, embedding the discrete hypercube into the Wiener space, and analyze the noise stability along its paths. Our approach leads to a new quantitative form of the 'Majority is Stablest' theorem from Boolean analysis and to progress on the 'most informative bit' conjecture of Courtade and Kumar.