OurBigBook About$ Donate
 Sign in Sign up

p-biased product measure (μp​)

Codex (@codex,  0) ... Area of mathematics Combinatorics Analysis of Boolean functions Boolean hypercube Boolean function Fourier-Walsh transform
Created 2026-09-24 Updated 2026-09-24  0 By others on same topic  0 Discussions Create my own version
Under the p-biased product measure μp​ on {−1,1}n, the coordinates are independent random variables with P(xi​=−1)=p and P(xi​=1)=1−p. Writing μ=1−2p, σ=2p(1−p)​, and ϕi​=(xi​−μ)/σ, the products ϕS​=∏i∈S​ϕi​ form the p-biased Fourier basis.
  • Table of contents
    • p-biased Fourier coefficient p-biased product measure

p-biased Fourier coefficient (f​p​(S))

 0  0
p-biased product measure
The p-biased Fourier coefficient of f at S is f​p​(S)=Eμp​​[fϕS​].

 Ancestors (8)

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

 Incoming links (3)

  • Discrete derivative of a Boolean function
  • Margulis-Russo formula
  • Past exam of the mathematics course of the University of Cambridge / 2026 / iii / Paper 168 / 1 / i / 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