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Random Restrictions and Fourier Concentration 1

Talkat Analysis and TCS Boot Camp 2023 · 2023-06-05..06-09
links:none on file
slides:none on file

Proves the KKL lower bound that a balanced Boolean function has some variable influence at least constant times log n / n, using random restrictions and Fourier analysis rather than combinatorics. Builds a random process (pick live coordinates j with probability μ, fix others z) that pushes high-degree Fourier mass down to Fourier level-one concentration; restricted functions become dictatorships, partitioning inputs so edge-counting and isoperimetric bounds force total influence ≳ log n, which yields the stated individual influence.

AI-written summary · about

  1. 0:00Introduction to influence
  2. 2:53Fourier analysis basics
  3. 11:43The KKL theorem
  4. 21:44Restrictions and Fourier weights
  5. 35:34Random restriction techniques
  6. 48:04Proof of the KKL theorem
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