The Wallis product is the infinite product representation of π :
Comparison of the convergence of the Wallis product (purple asterisks) and several historical infinite series for π . Sn is the approximation after taking n terms. Each subsequent subplot magnifies the shaded area horizontally by 10 times. (click for detail)
π
2
=
∏
n
=
1
∞
4
n
2
4
n
2
−
1
=
∏
n
=
1
∞
(
2
n
2
n
−
1
⋅
2
n
2
n
+
1
)
=
(
2
1
⋅
2
3
)
⋅
(
4
3
⋅
4
5
)
⋅
(
6
5
⋅
6
7
)
⋅
(
8
7
⋅
8
9
)
⋅
⋯
{\displaystyle {\begin{aligned}{\frac {\pi }{2}}&=\prod _{n=1}^{\infty }{\frac {4n^{2}}{4n^{2}-1}}=\prod _{n=1}^{\infty }\left({\frac {2n}{2n-1}}\cdot {\frac {2n}{2n+1}}\right)\\[6pt]&={\Big (}{\frac {2}{1}}\cdot {\frac {2}{3}}{\Big )}\cdot {\Big (}{\frac {4}{3}}\cdot {\frac {4}{5}}{\Big )}\cdot {\Big (}{\frac {6}{5}}\cdot {\frac {6}{7}}{\Big )}\cdot {\Big (}{\frac {8}{7}}\cdot {\frac {8}{9}}{\Big )}\cdot \;\cdots \\\end{aligned}}}
It was published in 1656 by John Wallis .[ 1]
Proof using integration
edit
Wallis derived this infinite product using interpolation, though his method is not regarded as rigorous. A modern derivation can be found by examining
∫
0
π
sin
n
x
d
x
{\displaystyle \int _{0}^{\pi }\sin ^{n}x\,dx}
for even and odd values of
n
{\displaystyle n}
, and noting that for large
n
{\displaystyle n}
, increasing
n
{\displaystyle n}
by 1 results in a change that becomes ever smaller as
n
{\displaystyle n}
increases. Let[ 2]
I
(
n
)
=
∫
0
π
sin
n
x
d
x
.
{\displaystyle I(n)=\int _{0}^{\pi }\sin ^{n}x\,dx.}
(This is a form of Wallis' integrals .) Integrate by parts :
u
=
sin
n
−
1
x
⇒
d
u
=
(
n
−
1
)
sin
n
−
2
x
cos
x
d
x
d
v
=
sin
x
d
x
⇒
v
=
−
cos
x
{\displaystyle {\begin{aligned}u&=\sin ^{n-1}x\\\Rightarrow du&=(n-1)\sin ^{n-2}x\cos x\,dx\\dv&=\sin x\,dx\\\Rightarrow v&=-\cos x\end{aligned}}}
⇒
I
(
n
)
=
∫
0
π
sin
n
x
d
x
=
−
sin
n
−
1
x
cos
x
|
0
π
−
∫
0
π
(
−
cos
x
)
(
n
−
1
)
sin
n
−
2
x
cos
x
d
x
=
0
+
(
n
−
1
)
∫
0
π
cos
2
x
sin
n
−
2
x
d
x
,
n
>
1
=
(
n
−
1
)
∫
0
π
(
1
−
sin
2
x
)
sin
n
−
2
x
d
x
=
(
n
−
1
)
∫
0
π
sin
n
−
2
x
d
x
−
(
n
−
1
)
∫
0
π
sin
n
x
d
x
=
(
n
−
1
)
I
(
n
−
2
)
−
(
n
−
1
)
I
(
n
)
=
n
−
1
n
I
(
n
−
2
)
⇒
I
(
n
)
I
(
n
−
2
)
=
n
−
1
n
{\displaystyle {\begin{aligned}\Rightarrow I(n)&=\int _{0}^{\pi }\sin ^{n}x\,dx\\[6pt]{}&=-\sin ^{n-1}x\cos x{\Biggl |}_{0}^{\pi }-\int _{0}^{\pi }(-\cos x)(n-1)\sin ^{n-2}x\cos x\,dx\\[6pt]{}&=0+(n-1)\int _{0}^{\pi }\cos ^{2}x\sin ^{n-2}x\,dx,\qquad n>1\\[6pt]{}&=(n-1)\int _{0}^{\pi }(1-\sin ^{2}x)\sin ^{n-2}x\,dx\\[6pt]{}&=(n-1)\int _{0}^{\pi }\sin ^{n-2}x\,dx-(n-1)\int _{0}^{\pi }\sin ^{n}x\,dx\\[6pt]{}&=(n-1)I(n-2)-(n-1)I(n)\\[6pt]{}&={\frac {n-1}{n}}I(n-2)\\[6pt]\Rightarrow {\frac {I(n)}{I(n-2)}}&={\frac {n-1}{n}}\\[6pt]\end{aligned}}}
Now, we make two variable substitutions for convenience to obtain:
I
(
2
n
)
=
2
n
−
1
2
n
I
(
2
n
−
2
)
{\displaystyle I(2n)={\frac {2n-1}{2n}}I(2n-2)}
I
(
2
n
+
1
)
=
2
n
2
n
+
1
I
(
2
n
−
1
)
{\displaystyle I(2n+1)={\frac {2n}{2n+1}}I(2n-1)}
We obtain values for
I
(
0
)
{\displaystyle I(0)}
and
I
(
1
)
{\displaystyle I(1)}
for later use.
I
(
0
)
=
∫
0
π
d
x
=
x
|
0
π
=
π
I
(
1
)
=
∫
0
π
sin
x
d
x
=
−
cos
x
|
0
π
=
(
−
cos
π
)
−
(
−
cos
0
)
=
−
(
−
1
)
−
(
−
1
)
=
2
{\displaystyle {\begin{aligned}I(0)&=\int _{0}^{\pi }dx=x{\Biggl |}_{0}^{\pi }=\pi \\[6pt]I(1)&=\int _{0}^{\pi }\sin x\,dx=-\cos x{\Biggl |}_{0}^{\pi }=(-\cos \pi )-(-\cos 0)=-(-1)-(-1)=2\\[6pt]\end{aligned}}}
Now, we calculate for even values
I
(
2
n
)
{\displaystyle I(2n)}
by repeatedly applying the recurrence relation result from the integration by parts. Eventually, we end get down to
I
(
0
)
{\displaystyle I(0)}
, which we have calculated.
I
(
2
n
)
=
∫
0
π
sin
2
n
x
d
x
=
2
n
−
1
2
n
I
(
2
n
−
2
)
=
2
n
−
1
2
n
⋅
2
n
−
3
2
n
−
2
I
(
2
n
−
4
)
{\displaystyle I(2n)=\int _{0}^{\pi }\sin ^{2n}x\,dx={\frac {2n-1}{2n}}I(2n-2)={\frac {2n-1}{2n}}\cdot {\frac {2n-3}{2n-2}}I(2n-4)}
=
2
n
−
1
2
n
⋅
2
n
−
3
2
n
−
2
⋅
2
n
−
5
2
n
−
4
⋅
⋯
⋅
5
6
⋅
3
4
⋅
1
2
I
(
0
)
=
π
∏
k
=
1
n
2
k
−
1
2
k
{\displaystyle ={\frac {2n-1}{2n}}\cdot {\frac {2n-3}{2n-2}}\cdot {\frac {2n-5}{2n-4}}\cdot \cdots \cdot {\frac {5}{6}}\cdot {\frac {3}{4}}\cdot {\frac {1}{2}}I(0)=\pi \prod _{k=1}^{n}{\frac {2k-1}{2k}}}
Repeating the process for odd values
I
(
2
n
+
1
)
{\displaystyle I(2n+1)}
,
I
(
2
n
+
1
)
=
∫
0
π
sin
2
n
+
1
x
d
x
=
2
n
2
n
+
1
I
(
2
n
−
1
)
=
2
n
2
n
+
1
⋅
2
n
−
2
2
n
−
1
I
(
2
n
−
3
)
{\displaystyle I(2n+1)=\int _{0}^{\pi }\sin ^{2n+1}x\,dx={\frac {2n}{2n+1}}I(2n-1)={\frac {2n}{2n+1}}\cdot {\frac {2n-2}{2n-1}}I(2n-3)}
=
2
n
2
n
+
1
⋅
2
n
−
2
2
n
−
1
⋅
2
n
−
4
2
n
−
3
⋅
⋯
⋅
6
7
⋅
4
5
⋅
2
3
I
(
1
)
=
2
∏
k
=
1
n
2
k
2
k
+
1
{\displaystyle ={\frac {2n}{2n+1}}\cdot {\frac {2n-2}{2n-1}}\cdot {\frac {2n-4}{2n-3}}\cdot \cdots \cdot {\frac {6}{7}}\cdot {\frac {4}{5}}\cdot {\frac {2}{3}}I(1)=2\prod _{k=1}^{n}{\frac {2k}{2k+1}}}
We make the following observation, based on the fact that
sin
x
≤
1
{\displaystyle \sin {x}\leq 1}
sin
2
n
+
1
x
≤
sin
2
n
x
≤
sin
2
n
−
1
x
,
0
≤
x
≤
π
{\displaystyle \sin ^{2n+1}x\leq \sin ^{2n}x\leq \sin ^{2n-1}x,0\leq x\leq \pi }
⇒
I
(
2
n
+
1
)
≤
I
(
2
n
)
≤
I
(
2
n
−
1
)
{\displaystyle \Rightarrow I(2n+1)\leq I(2n)\leq I(2n-1)}
Dividing by
I
(
2
n
+
1
)
{\displaystyle I(2n+1)}
:
⇒
1
≤
I
(
2
n
)
I
(
2
n
+
1
)
≤
I
(
2
n
−
1
)
I
(
2
n
+
1
)
=
2
n
+
1
2
n
{\displaystyle \Rightarrow 1\leq {\frac {I(2n)}{I(2n+1)}}\leq {\frac {I(2n-1)}{I(2n+1)}}={\frac {2n+1}{2n}}}
, where the equality comes from our recurrence relation.
By the squeeze theorem ,
⇒
lim
n
→
∞
I
(
2
n
)
I
(
2
n
+
1
)
=
1
{\displaystyle \Rightarrow \lim _{n\rightarrow \infty }{\frac {I(2n)}{I(2n+1)}}=1}
lim
n
→
∞
I
(
2
n
)
I
(
2
n
+
1
)
=
π
2
lim
n
→
∞
∏
k
=
1
n
(
2
k
−
1
2
k
⋅
2
k
+
1
2
k
)
=
1
{\displaystyle \lim _{n\rightarrow \infty }{\frac {I(2n)}{I(2n+1)}}={\frac {\pi }{2}}\lim _{n\rightarrow \infty }\prod _{k=1}^{n}\left({\frac {2k-1}{2k}}\cdot {\frac {2k+1}{2k}}\right)=1}
⇒
π
2
=
∏
k
=
1
∞
(
2
k
2
k
−
1
⋅
2
k
2
k
+
1
)
=
2
1
⋅
2
3
⋅
4
3
⋅
4
5
⋅
6
5
⋅
6
7
⋅
⋯
{\displaystyle \Rightarrow {\frac {\pi }{2}}=\prod _{k=1}^{\infty }\left({\frac {2k}{2k-1}}\cdot {\frac {2k}{2k+1}}\right)={\frac {2}{1}}\cdot {\frac {2}{3}}\cdot {\frac {4}{3}}\cdot {\frac {4}{5}}\cdot {\frac {6}{5}}\cdot {\frac {6}{7}}\cdot \cdots }
See the main page on Gaussian integral .
Proof using Euler's infinite product for the sine function
edit
While the proof above is typically featured in modern calculus textbooks, the Wallis product is, in retrospect, an easy corollary of the later Euler infinite product for the sine function .
sin
x
x
=
∏
n
=
1
∞
(
1
−
x
2
n
2
π
2
)
{\displaystyle {\frac {\sin x}{x}}=\prod _{n=1}^{\infty }\left(1-{\frac {x^{2}}{n^{2}\pi ^{2}}}\right)}
Let
x
=
π
2
{\displaystyle x={\frac {\pi }{2}}}
:
⇒
2
π
=
∏
n
=
1
∞
(
1
−
1
4
n
2
)
⇒
π
2
=
∏
n
=
1
∞
(
4
n
2
4
n
2
−
1
)
=
∏
n
=
1
∞
(
2
n
2
n
−
1
⋅
2
n
2
n
+
1
)
=
2
1
⋅
2
3
⋅
4
3
⋅
4
5
⋅
6
5
⋅
6
7
⋯
{\displaystyle {\begin{aligned}\Rightarrow {\frac {2}{\pi }}&=\prod _{n=1}^{\infty }\left(1-{\frac {1}{4n^{2}}}\right)\\[6pt]\Rightarrow {\frac {\pi }{2}}&=\prod _{n=1}^{\infty }\left({\frac {4n^{2}}{4n^{2}-1}}\right)\\[6pt]&=\prod _{n=1}^{\infty }\left({\frac {2n}{2n-1}}\cdot {\frac {2n}{2n+1}}\right)={\frac {2}{1}}\cdot {\frac {2}{3}}\cdot {\frac {4}{3}}\cdot {\frac {4}{5}}\cdot {\frac {6}{5}}\cdot {\frac {6}{7}}\cdots \end{aligned}}}
[ 1]
Relation to Stirling's approximation
edit
Derivative of the Riemann zeta function at zero
edit
The Riemann zeta function and the Dirichlet eta function can be defined:[ 1]
ζ
(
s
)
=
∑
n
=
1
∞
1
n
s
,
ℜ
(
s
)
>
1
η
(
s
)
=
(
1
−
2
1
−
s
)
ζ
(
s
)
=
∑
n
=
1
∞
(
−
1
)
n
−
1
n
s
,
ℜ
(
s
)
>
0
{\displaystyle {\begin{aligned}\zeta (s)&=\sum _{n=1}^{\infty }{\frac {1}{n^{s}}},\Re (s)>1\\[6pt]\eta (s)&=(1-2^{1-s})\zeta (s)\\[6pt]&=\sum _{n=1}^{\infty }{\frac {(-1)^{n-1}}{n^{s}}},\Re (s)>0\end{aligned}}}
Applying an Euler transform to the latter series, the following is obtained:
η
(
s
)
=
1
2
+
1
2
∑
n
=
1
∞
(
−
1
)
n
−
1
[
1
n
s
−
1
(
n
+
1
)
s
]
,
ℜ
(
s
)
>
−
1
⇒
η
′
(
s
)
=
(
1
−
2
1
−
s
)
ζ
′
(
s
)
+
2
1
−
s
(
ln
2
)
ζ
(
s
)
=
−
1
2
∑
n
=
1
∞
(
−
1
)
n
−
1
[
ln
n
n
s
−
ln
(
n
+
1
)
(
n
+
1
)
s
]
,
ℜ
(
s
)
>
−
1
{\displaystyle {\begin{aligned}\eta (s)&={\frac {1}{2}}+{\frac {1}{2}}\sum _{n=1}^{\infty }(-1)^{n-1}\left[{\frac {1}{n^{s}}}-{\frac {1}{(n+1)^{s}}}\right],\Re (s)>-1\\[6pt]\Rightarrow \eta '(s)&=(1-2^{1-s})\zeta '(s)+2^{1-s}(\ln 2)\zeta (s)\\[6pt]&=-{\frac {1}{2}}\sum _{n=1}^{\infty }(-1)^{n-1}\left[{\frac {\ln n}{n^{s}}}-{\frac {\ln(n+1)}{(n+1)^{s}}}\right],\Re (s)>-1\end{aligned}}}
⇒
η
′
(
0
)
=
−
ζ
′
(
0
)
−
ln
2
=
−
1
2
∑
n
=
1
∞
(
−
1
)
n
−
1
[
ln
n
−
ln
(
n
+
1
)
]
=
−
1
2
∑
n
=
1
∞
(
−
1
)
n
−
1
ln
n
n
+
1
=
−
1
2
(
ln
1
2
−
ln
2
3
+
ln
3
4
−
ln
4
5
+
ln
5
6
−
⋯
)
=
1
2
(
ln
2
1
+
ln
2
3
+
ln
4
3
+
ln
4
5
+
ln
6
5
+
⋯
)
=
1
2
ln
(
2
1
⋅
2
3
⋅
4
3
⋅
4
5
⋅
⋯
)
=
1
2
ln
π
2
⇒
ζ
′
(
0
)
=
−
1
2
ln
(
2
π
)
{\displaystyle {\begin{aligned}\Rightarrow \eta '(0)&=-\zeta '(0)-\ln 2=-{\frac {1}{2}}\sum _{n=1}^{\infty }(-1)^{n-1}\left[\ln n-\ln(n+1)\right]\\[6pt]&=-{\frac {1}{2}}\sum _{n=1}^{\infty }(-1)^{n-1}\ln {\frac {n}{n+1}}\\[6pt]&=-{\frac {1}{2}}\left(\ln {\frac {1}{2}}-\ln {\frac {2}{3}}+\ln {\frac {3}{4}}-\ln {\frac {4}{5}}+\ln {\frac {5}{6}}-\cdots \right)\\[6pt]&={\frac {1}{2}}\left(\ln {\frac {2}{1}}+\ln {\frac {2}{3}}+\ln {\frac {4}{3}}+\ln {\frac {4}{5}}+\ln {\frac {6}{5}}+\cdots \right)\\[6pt]&={\frac {1}{2}}\ln \left({\frac {2}{1}}\cdot {\frac {2}{3}}\cdot {\frac {4}{3}}\cdot {\frac {4}{5}}\cdot \cdots \right)={\frac {1}{2}}\ln {\frac {\pi }{2}}\\\Rightarrow \zeta '(0)&=-{\frac {1}{2}}\ln \left(2\pi \right)\end{aligned}}}