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Introduction to Analysis on the Discrete Cube III

Talkat Real Analysis Boot Camp 2013 · 2013-09-09..09-13· [machine-learning]
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slides:none on file

Compares concrete semigroups and computes generators explicitly: shift group has generator −d/dx and fails analytic recovery for smooth nonanalytic examples like e^(−1/x^2); Brownian motion yields the heat semigroup with generator −½Δ via Gaussian convolution and integration by parts; Ornstein–Uhlenbeck gives generator x·∇−Δ and has Gaussian invariant measure. On the discrete cube uses Walsh Fourier, CLT and triangle inequalities to get spectral gap=1 (even:1/2), Stroock–Varopoulos bounds, Khinchin/Kahane constants (L2 vs L1 = √2, L4 vs L2 = 3^(1/4)), and Bonami lemma E[X^4] ≤ 9^d E[X^2]^2 for degree d chaos.

AI-written summary · about

  1. 0:00Start
  2. 46:26Poincare inequality for even functions
  3. 49:01Poincare inequality - proof of the second assertion
  4. 50:22Spectral gap
  5. 52:11Elementary inequality - end of the proof Recall
  6. 55:24Stroock-Varopoulos inequality - end of the proof Thus (0) 20. On the other hand
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