In mathematics, Wiener's lemma is a well-known identity which relates the asymptotic behaviour of the Fourier coefficients of a Borel measure on the circle to its atomic part. This result admits an analogous statement for measures on the real line . It was first discovered by Norbert Wiener .[ 1] [ 2]
Given a real or complex Borel measure
μ
{\displaystyle \mu }
on the unit circle
T
{\displaystyle \mathbb {T} }
, let
μ
a
=
∑
j
c
j
δ
z
j
{\displaystyle \mu _{a}=\sum _{j}c_{j}\delta _{z_{j}}}
be its atomic part (meaning that
μ
(
{
z
j
}
)
=
c
j
≠
0
{\displaystyle \mu (\{z_{j}\})=c_{j}\neq 0}
and
μ
(
{
z
}
)
=
0
{\displaystyle \mu (\{z\})=0}
for
z
∉
{
z
j
}
{\displaystyle z\not \in \{z_{j}\}}
. Then
lim
N
→
∞
1
2
N
+
1
∑
n
=
−
N
N
|
μ
^
(
n
)
|
2
=
∑
j
|
c
j
|
2
,
{\displaystyle \lim _{N\to \infty }{\frac {1}{2N+1}}\sum _{n=-N}^{N}|{\widehat {\mu }}(n)|^{2}=\sum _{j}|c_{j}|^{2},}
where
μ
^
(
n
)
=
∫
T
z
−
n
d
μ
(
z
)
{\displaystyle {\widehat {\mu }}(n)=\int _{\mathbb {T} }z^{-n}\,d\mu (z)}
is the
n
{\displaystyle n}
-th Fourier coefficient of
μ
{\displaystyle \mu }
.
Similarly, given a real or complex Borel measure
μ
{\displaystyle \mu }
on the real line
R
{\displaystyle \mathbb {R} }
and called
μ
a
=
∑
j
c
j
δ
x
j
{\displaystyle \mu _{a}=\sum _{j}c_{j}\delta _{x_{j}}}
its atomic part, we have
lim
R
→
∞
1
2
R
∫
−
R
R
|
μ
^
(
ξ
)
|
2
d
ξ
=
∑
j
|
c
j
|
2
,
{\displaystyle \lim _{R\to \infty }{\frac {1}{2R}}\int _{-R}^{R}|{\widehat {\mu }}(\xi )|^{2}\,d\xi =\sum _{j}|c_{j}|^{2},}
where
μ
^
(
ξ
)
=
∫
R
e
−
2
π
i
ξ
x
d
μ
(
x
)
{\displaystyle {\widehat {\mu }}(\xi )=\int _{\mathbb {R} }e^{-2\pi i\xi x}\,d\mu (x)}
is the Fourier transform of
μ
{\displaystyle \mu }
.
First of all, we observe that if
ν
{\displaystyle \nu }
is a complex measure on the circle then
1
2
N
+
1
∑
n
=
−
N
N
ν
^
(
n
)
=
∫
T
f
N
(
z
)
d
ν
(
z
)
,
{\displaystyle {\frac {1}{2N+1}}\sum _{n=-N}^{N}{\widehat {\nu }}(n)=\int _{\mathbb {T} }f_{N}(z)\,d\nu (z),}
with
f
N
(
z
)
=
1
2
N
+
1
∑
n
=
−
N
N
z
−
n
{\displaystyle f_{N}(z)={\frac {1}{2N+1}}\sum _{n=-N}^{N}z^{-n}}
. The function
f
N
{\displaystyle f_{N}}
is bounded by
1
{\displaystyle 1}
in absolute value and has
f
N
(
1
)
=
1
{\displaystyle f_{N}(1)=1}
, while
f
N
(
z
)
=
z
N
+
1
−
z
−
N
(
2
N
+
1
)
(
z
−
1
)
{\displaystyle f_{N}(z)={\frac {z^{N+1}-z^{-N}}{(2N+1)(z-1)}}}
for
z
∈
T
∖
{
1
}
{\displaystyle z\in \mathbb {T} \setminus \{1\}}
, which converges to
0
{\displaystyle 0}
as
N
→
∞
{\displaystyle N\to \infty }
. Hence, by the dominated convergence theorem ,
lim
N
→
∞
1
2
N
+
1
∑
n
=
−
N
N
ν
^
(
n
)
=
∫
T
1
{
1
}
(
z
)
d
ν
(
z
)
=
ν
(
{
1
}
)
.
{\displaystyle \lim _{N\to \infty }{\frac {1}{2N+1}}\sum _{n=-N}^{N}{\widehat {\nu }}(n)=\int _{\mathbb {T} }1_{\{1\}}(z)\,d\nu (z)=\nu (\{1\}).}
We now take
μ
′
{\displaystyle \mu '}
to be the pushforward of
μ
¯
{\displaystyle {\overline {\mu }}}
under the inverse map on
T
{\displaystyle \mathbb {T} }
, namely
μ
′
(
B
)
=
μ
(
B
−
1
)
¯
{\displaystyle \mu '(B)={\overline {\mu (B^{-1})}}}
for any Borel set
B
⊆
T
{\displaystyle B\subseteq \mathbb {T} }
. This complex measure has Fourier coefficients
μ
′
^
(
n
)
=
μ
^
(
n
)
¯
{\displaystyle {\widehat {\mu '}}(n)={\overline {{\widehat {\mu }}(n)}}}
. We are going to apply the above to the convolution between
μ
{\displaystyle \mu }
and
μ
′
{\displaystyle \mu '}
, namely we choose
ν
=
μ
∗
μ
′
{\displaystyle \nu =\mu *\mu '}
, meaning that
ν
{\displaystyle \nu }
is the pushforward of the measure
μ
×
μ
′
{\displaystyle \mu \times \mu '}
(on
T
×
T
{\displaystyle \mathbb {T} \times \mathbb {T} }
) under the product map
⋅
:
T
×
T
→
T
{\displaystyle \cdot :\mathbb {T} \times \mathbb {T} \to \mathbb {T} }
. By Fubini's theorem
ν
^
(
n
)
=
∫
T
×
T
(
z
w
)
−
n
d
(
μ
×
μ
′
)
(
z
,
w
)
=
∫
T
∫
T
z
−
n
w
−
n
d
μ
′
(
w
)
d
μ
(
z
)
=
μ
^
(
n
)
μ
′
^
(
n
)
=
|
μ
^
(
n
)
|
2
.
{\displaystyle {\widehat {\nu }}(n)=\int _{\mathbb {T} \times \mathbb {T} }(zw)^{-n}\,d(\mu \times \mu ')(z,w)=\int _{\mathbb {T} }\int _{\mathbb {T} }z^{-n}w^{-n}\,d\mu '(w)\,d\mu (z)={\widehat {\mu }}(n){\widehat {\mu '}}(n)=|{\widehat {\mu }}(n)|^{2}.}
So, by the identity derived earlier,
lim
N
→
∞
1
2
N
+
1
∑
n
=
−
N
N
|
μ
^
(
n
)
|
2
=
ν
(
{
1
}
)
=
∫
T
×
T
1
{
z
w
=
1
}
d
(
μ
×
μ
′
)
(
z
,
w
)
.
{\displaystyle \lim _{N\to \infty }{\frac {1}{2N+1}}\sum _{n=-N}^{N}|{\widehat {\mu }}(n)|^{2}=\nu (\{1\})=\int _{\mathbb {T} \times \mathbb {T} }1_{\{zw=1\}}\,d(\mu \times \mu ')(z,w).}
By Fubini's theorem again, the right-hand side equals
∫
T
μ
′
(
{
z
−
1
}
)
d
μ
(
z
)
=
∫
T
μ
(
{
z
}
)
¯
d
μ
(
z
)
=
∑
j
|
μ
(
{
z
j
}
)
|
2
=
∑
j
|
c
j
|
2
.
{\displaystyle \int _{\mathbb {T} }\mu '(\{z^{-1}\})\,d\mu (z)=\int _{\mathbb {T} }{\overline {\mu (\{z\})}}\,d\mu (z)=\sum _{j}|\mu (\{z_{j}\})|^{2}=\sum _{j}|c_{j}|^{2}.}
The proof of the analogous statement for the real line is identical, except that we use the identity
1
2
R
∫
−
R
R
ν
^
(
ξ
)
d
ξ
=
∫
R
f
R
(
x
)
d
ν
(
x
)
{\displaystyle {\frac {1}{2R}}\int _{-R}^{R}{\widehat {\nu }}(\xi )\,d\xi =\int _{\mathbb {R} }f_{R}(x)\,d\nu (x)}
(which follows from Fubini's theorem ), where
f
R
(
x
)
=
1
2
R
∫
−
R
R
e
−
2
π
i
ξ
x
d
ξ
{\displaystyle f_{R}(x)={\frac {1}{2R}}\int _{-R}^{R}e^{-2\pi i\xi x}\,d\xi }
.
We observe that
|
f
R
|
≤
1
{\displaystyle |f_{R}|\leq 1}
,
f
R
(
0
)
=
1
{\displaystyle f_{R}(0)=1}
and
f
R
(
x
)
=
e
2
π
i
R
x
−
e
−
2
π
i
R
x
4
π
i
R
x
{\displaystyle f_{R}(x)={\frac {e^{2\pi iRx}-e^{-2\pi iRx}}{4\pi iRx}}}
for
x
≠
0
{\displaystyle x\neq 0}
, which converges to
0
{\displaystyle 0}
as
R
→
∞
{\displaystyle R\to \infty }
. So, by dominated convergence , we have the analogous identity
lim
R
→
∞
1
2
R
∫
−
R
R
ν
^
(
ξ
)
d
ξ
=
ν
(
{
0
}
)
.
{\displaystyle \lim _{R\to \infty }{\frac {1}{2R}}\int _{-R}^{R}{\widehat {\nu }}(\xi )\,d\xi =\nu (\{0\}).}
A real or complex Borel measure
μ
{\displaystyle \mu }
on the circle is diffuse (i.e.
μ
a
=
0
{\displaystyle \mu _{a}=0}
) if and only if
lim
N
→
∞
1
2
N
+
1
∑
n
=
−
N
N
|
μ
^
(
n
)
|
2
=
0
{\displaystyle \lim _{N\to \infty }{\frac {1}{2N+1}}\sum _{n=-N}^{N}|{\widehat {\mu }}(n)|^{2}=0}
.
A probability measure
μ
{\displaystyle \mu }
on the circle is a Dirac mass if and only if
lim
N
→
∞
1
2
N
+
1
∑
n
=
−
N
N
|
μ
^
(
n
)
|
2
=
1
{\displaystyle \lim _{N\to \infty }{\frac {1}{2N+1}}\sum _{n=-N}^{N}|{\widehat {\mu }}(n)|^{2}=1}
. (Here, the nontrivial implication follows from the fact that the weights
c
j
{\displaystyle c_{j}}
are positive and satisfy
1
=
∑
j
c
j
2
≤
∑
j
c
j
≤
1
{\displaystyle 1=\sum _{j}c_{j}^{2}\leq \sum _{j}c_{j}\leq 1}
, which forces
c
j
2
=
c
j
{\displaystyle c_{j}^{2}=c_{j}}
and thus
c
j
=
1
{\displaystyle c_{j}=1}
, so that there must be a single atom with mass
1
{\displaystyle 1}
.)