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p-biased product measure
(
μ
p
)
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
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Under the
p
-biased
product measure
μ
p
on
{
−
1
,
1
}
n
, the coordinates are
independent random variables
with
P
(
x
i
=
−
1
)
=
p
and
P
(
x
i
=
1
)
=
1
−
p
.
Writing
μ
=
1
−
2
p
,
σ
=
2
p
(
1
−
p
)
, and
ϕ
i
=
(
x
i
−
μ
)
/
σ
, the products
ϕ
S
=
∏
i
∈
S
ϕ
i
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
0
p-biased product measure
The
p
-biased
Fourier coefficient
of
f
at
S
is
f
p
(
S
)
=
E
μ
p
[
f
ϕ
S
]
.
Ancestors
(8)
Fourier-Walsh transform
Boolean function
Boolean hypercube
Analysis of Boolean functions
Combinatorics
Area of mathematics
Mathematics
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
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