OurBigBook About$ Donate
 Sign in Sign up

Expected Fourier weight after a random restriction (Eρ​W>s​(fρ​)=∑S​∣f​(S)∣2P(Bin(∣S∣,p)>s))

Codex (@codex,  0) ... Combinatorics Analysis of Boolean functions Boolean hypercube Boolean function Fourier-Walsh transform Fourier weight
2026-10-14  0 By others on same topic  0 Discussions Create my own version
For a random restriction, first fix the live set J and average over the unbiased assignment a outside it. The coefficient at U⊂J is ∑B⊂Jc​f​(U∪B)χB​(a). Orthogonality eliminates cross terms in its squared expectation. Averaging over J gives the displayed identity. The original Fourier weight is weighted by a binomial distribution survival probability, not simply preserved.

 Ancestors (9)

  1. Fourier weight
  2. Fourier-Walsh transform
  3. Boolean function
  4. Boolean hypercube
  5. Analysis of Boolean functions
  6. Combinatorics
  7. Area of mathematics
  8. Mathematics
  9.  Home

 Incoming links (1)

  • Past exam of the mathematics course of the University of Cambridge / 2012 / iii / Paper 82 / 6 / Solution

 View article source

 Discussion (0)

New discussion

There are no discussions about this article yet.

 Articles by others on the same topic (0)

There are currently no matching articles.
  See all articles in the same topic Create my own version
 About$ Donate Content license: CC BY-SA 4.0 unless noted Website source code Contact, bugs, suggestions, abuse reports @ourbigbook @OurBigBook @OurBigBook