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A Two-Sided Estimate for the Gaussian Noise Stability Deficit

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Proves a quantitative two‑sided bound that controls the Gaussian noise‑stability deficit by a centroid metric (norm difference between Gaussian centers) up to explicit constants and a logarithmic factor, turning the previous delta^4 bound into essentially delta^2 ≤ C·epsilon. Proof builds an evolving family of conditioned densities via a martingale Brownian coupling, uses Ito calculus and quadratic variation to compare any set with the corresponding half‑space, and yields robustness for Gaussian isoperimetry and discrete Majority‑is‑Stablest applications.

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  1. 0:00Start
  2. 6:54Linear Combinations of Genes
  3. 13:21The Total Variation Distance
  4. 20:32Constant Distance
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