RR
The following is a list of significant formulae involving the mathematical constant π . Many of these formulae can be found in the article Pi , or the article Approximations of π .
π
=
C
d
=
C
2
r
{\displaystyle \pi ={\frac {C}{d}}={\frac {C}{2r}}}
where C is the circumference of a circle , d is the diameter , and r is the radius . More generally,
π
=
L
w
{\displaystyle \pi ={\frac {L}{w}}}
where L and w are, respectively, the perimeter and the width of any curve of constant width .
A
=
π
r
2
{\displaystyle A=\pi r^{2}}
where A is the area of a circle . More generally,
A
=
π
a
b
{\displaystyle A=\pi ab}
where A is the area enclosed by an ellipse with semi-major axis a and semi-minor axis b .
C
=
2
π
agm
(
a
,
b
)
(
a
1
2
−
∑
n
=
2
∞
2
n
−
1
(
a
n
2
−
b
n
2
)
)
{\displaystyle C={\frac {2\pi }{\operatorname {agm} (a,b)}}\left(a_{1}^{2}-\sum _{n=2}^{\infty }2^{n-1}(a_{n}^{2}-b_{n}^{2})\right)}
where C is the circumference of an ellipse with semi-major axis a and semi-minor axis b and
a
n
,
b
n
{\displaystyle a_{n},b_{n}}
are the arithmetic and geometric iterations of
agm
(
a
,
b
)
{\displaystyle \operatorname {agm} (a,b)}
, the arithmetic-geometric mean of a and b with the initial values
a
0
=
a
{\displaystyle a_{0}=a}
and
b
0
=
b
{\displaystyle b_{0}=b}
.
A
=
4
π
r
2
{\displaystyle A=4\pi r^{2}}
where A is the area between the witch of Agnesi and its asymptotic line; r is the radius of the defining circle.
A
=
Γ
(
1
/
4
)
2
2
π
r
2
=
π
r
2
agm
(
1
,
1
/
2
)
{\displaystyle A={\frac {\Gamma (1/4)^{2}}{2{\sqrt {\pi }}}}r^{2}={\frac {\pi r^{2}}{\operatorname {agm} (1,1/{\sqrt {2}})}}}
where A is the area of a squircle with minor radius r ,
Γ
{\displaystyle \Gamma }
is the gamma function .
A
=
(
k
+
1
)
(
k
+
2
)
π
r
2
{\displaystyle A=(k+1)(k+2)\pi r^{2}}
where A is the area of an epicycloid with the smaller circle of radius r and the larger circle of radius kr (
k
∈
N
{\displaystyle k\in \mathbb {N} }
), assuming the initial point lies on the larger circle.
A
=
(
−
1
)
k
+
3
8
π
a
2
{\displaystyle A={\frac {(-1)^{k}+3}{8}}\pi a^{2}}
where A is the area of a rose with angular frequency k (
k
∈
N
{\displaystyle k\in \mathbb {N} }
) and amplitude a .
L
=
Γ
(
1
/
4
)
2
π
c
=
2
π
c
agm
(
1
,
1
/
2
)
{\displaystyle L={\frac {\Gamma (1/4)^{2}}{\sqrt {\pi }}}c={\frac {2\pi c}{\operatorname {agm} (1,1/{\sqrt {2}})}}}
where L is the perimeter of the lemniscate of Bernoulli with focal distance c .
V
=
4
3
π
r
3
{\displaystyle V={4 \over 3}\pi r^{3}}
where V is the volume of a sphere and r is the radius.
S
A
=
4
π
r
2
{\displaystyle SA=4\pi r^{2}}
where SA is the surface area of a sphere and r is the radius.
H
=
1
2
π
2
r
4
{\displaystyle H={1 \over 2}\pi ^{2}r^{4}}
where H is the hypervolume of a 3-sphere and r is the radius.
S
V
=
2
π
2
r
3
{\displaystyle SV=2\pi ^{2}r^{3}}
where SV is the surface volume of a 3-sphere and r is the radius.
Regular convex polygons [ edit ]
Sum S of internal angles of a regular convex polygon with n sides:
S
=
(
n
−
2
)
π
{\displaystyle S=(n-2)\pi }
Area A of a regular convex polygon with n sides and side length s :
A
=
n
s
2
4
cot
π
n
{\displaystyle A={\frac {ns^{2}}{4}}\cot {\frac {\pi }{n}}}
Inradius r of a regular convex polygon with n sides and side length s :
r
=
s
2
cot
π
n
{\displaystyle r={\frac {s}{2}}\cot {\frac {\pi }{n}}}
Circumradius R of a regular convex polygon with n sides and side length s :
R
=
s
2
csc
π
n
{\displaystyle R={\frac {s}{2}}\csc {\frac {\pi }{n}}}
Coulomb's law for the electric force in vacuum:
F
=
|
q
1
q
2
|
4
π
ε
0
r
2
{\displaystyle F={\frac {|q_{1}q_{2}|}{4\pi \varepsilon _{0}r^{2}}}}
Approximate period of a simple pendulum with small amplitude:
T
≈
2
π
L
g
{\displaystyle T\approx 2\pi {\sqrt {\frac {L}{g}}}}
Exact period of a simple pendulum with amplitude
θ
0
{\displaystyle \theta _{0}}
(
agm
{\displaystyle \operatorname {agm} }
is the arithmetic–geometric mean ):
T
=
2
π
agm
(
1
,
cos
(
θ
0
/
2
)
)
L
g
{\displaystyle T={\frac {2\pi }{\operatorname {agm} (1,\cos(\theta _{0}/2))}}{\sqrt {\frac {L}{g}}}}
Period of a spring-mass system with spring constant
k
{\displaystyle k}
and mass
m
{\displaystyle m}
:
T
=
2
π
m
k
{\displaystyle T=2\pi {\sqrt {\frac {m}{k}}}}
The buckling formula:
F
=
π
2
E
I
L
2
{\displaystyle F={\frac {\pi ^{2}EI}{L^{2}}}}
A puzzle involving "colliding billiard balls":
⌊
b
N
π
⌋
{\displaystyle \lfloor {b^{N}\pi }\rfloor }
is the number of collisions made (in ideal conditions, perfectly elastic with no friction) by an object of mass m initially at rest between a fixed wall and another object of mass b 2N m , when struck by the other object.[ 1] (This gives the digits of π in base b up to N digits past the radix point.)
2
∫
−
1
1
1
−
x
2
d
x
=
π
{\displaystyle 2\int _{-1}^{1}{\sqrt {1-x^{2}}}\,dx=\pi }
(integrating two halves
y
(
x
)
=
1
−
x
2
{\displaystyle y(x)={\sqrt {1-x^{2}}}}
to obtain the area of the unit circle)
∫
−
∞
∞
sech
x
d
x
=
π
{\displaystyle \int _{-\infty }^{\infty }\operatorname {sech} x\,dx=\pi }
∫
−
∞
∞
∫
t
∞
e
−
1
/
2
t
2
−
x
2
+
x
t
d
x
d
t
=
∫
−
∞
∞
∫
t
∞
e
−
t
2
−
1
/
2
x
2
+
x
t
d
x
d
t
=
π
{\displaystyle \int _{-\infty }^{\infty }\int _{t}^{\infty }e^{-1/2t^{2}-x^{2}+xt}\,dx\,dt=\int _{-\infty }^{\infty }\int _{t}^{\infty }e^{-t^{2}-1/2x^{2}+xt}\,dx\,dt=\pi }
∫
−
1
1
d
x
1
−
x
2
=
π
{\displaystyle \int _{-1}^{1}{\frac {dx}{\sqrt {1-x^{2}}}}=\pi }
∫
−
∞
∞
d
x
1
+
x
2
=
π
{\displaystyle \int _{-\infty }^{\infty }{\frac {dx}{1+x^{2}}}=\pi }
[ 2] [ note 2] (see also Cauchy distribution )
∫
−
∞
∞
sin
x
x
d
x
=
π
{\displaystyle \int _{-\infty }^{\infty }{\frac {\sin x}{x}}\,dx=\pi }
(see Dirichlet integral )
∫
−
∞
∞
e
−
x
2
d
x
=
π
{\displaystyle \int _{-\infty }^{\infty }e^{-x^{2}}\,dx={\sqrt {\pi }}}
(see Gaussian integral ).
∮
d
z
z
=
2
π
i
{\displaystyle \oint {\frac {dz}{z}}=2\pi i}
(when the path of integration winds once counterclockwise around 0. See also Cauchy's integral formula ).
∫
0
∞
ln
(
1
+
1
x
2
)
d
x
=
π
{\displaystyle \int _{0}^{\infty }\ln \left(1+{\frac {1}{x^{2}}}\right)\,dx=\pi }
[ 3]
∫
0
1
x
4
(
1
−
x
)
4
1
+
x
2
d
x
=
22
7
−
π
{\displaystyle \int _{0}^{1}{x^{4}(1-x)^{4} \over 1+x^{2}}\,dx={22 \over 7}-\pi }
(see also Proof that 22/7 exceeds π ).
∫
0
1
x
2
(
1
+
x
)
4
1
+
x
2
d
x
=
π
−
17
15
{\displaystyle \int _{0}^{1}{x^{2}(1+x)^{4} \over 1+x^{2}}\,dx=\pi -{17 \over 15}}
∫
0
∞
x
α
−
1
x
+
1
d
x
=
π
sin
π
α
,
0
<
α
<
1
{\displaystyle \int _{0}^{\infty }{\frac {x^{\alpha -1}}{x+1}}\,dx={\frac {\pi }{\sin \pi \alpha }},\quad 0<\alpha <1}
∫
0
∞
d
x
x
(
x
+
a
)
(
x
+
b
)
=
π
agm
(
a
,
b
)
{\displaystyle \int _{0}^{\infty }{\frac {dx}{\sqrt {x(x+a)(x+b)}}}={\frac {\pi }{\operatorname {agm} ({\sqrt {a}},{\sqrt {b}})}}}
(where
agm
{\displaystyle \operatorname {agm} }
is the arithmetic–geometric mean ;[ 4] see also elliptic integral )
Note that with symmetric integrands
f
(
−
x
)
=
f
(
x
)
{\displaystyle f(-x)=f(x)}
, formulas of the form
∫
−
a
a
f
(
x
)
d
x
{\textstyle \int _{-a}^{a}f(x)\,dx}
can also be translated to formulas
2
∫
0
a
f
(
x
)
d
x
{\textstyle 2\int _{0}^{a}f(x)\,dx}
.
Efficient infinite series [ edit ]
∑
k
=
0
∞
k
!
(
2
k
+
1
)
!
!
=
∑
k
=
0
∞
2
k
k
!
2
(
2
k
+
1
)
!
=
π
2
{\displaystyle \sum _{k=0}^{\infty }{\frac {k!}{(2k+1)!!}}=\sum _{k=0}^{\infty }{\frac {2^{k}k!^{2}}{(2k+1)!}}={\frac {\pi }{2}}}
(see also Double factorial )
∑
k
=
0
∞
k
!
2
k
(
2
k
+
1
)
!
!
=
2
π
3
3
{\displaystyle \sum _{k=0}^{\infty }{\frac {k!}{2^{k}(2k+1)!!}}={\frac {2\pi }{3{\sqrt {3}}}}}
∑
k
=
0
∞
k
!
(
2
k
)
!
(
25
k
−
3
)
(
3
k
)
!
2
k
=
π
2
{\displaystyle \sum _{k=0}^{\infty }{\frac {k!\,(2k)!\,(25k-3)}{(3k)!\,2^{k}}}={\frac {\pi }{2}}}
∑
k
=
0
∞
(
−
1
)
k
(
6
k
)
!
(
13591409
+
545140134
k
)
(
3
k
)
!
(
k
!
)
3
640320
3
k
=
4270934400
10005
π
{\displaystyle \sum _{k=0}^{\infty }{\frac {(-1)^{k}(6k)!(13591409+545140134k)}{(3k)!(k!)^{3}640320^{3k}}}={\frac {4270934400}{{\sqrt {10005}}\pi }}}
(see Chudnovsky algorithm )
∑
k
=
0
∞
(
4
k
)
!
(
1103
+
26390
k
)
(
k
!
)
4
396
4
k
=
9801
2
2
π
{\displaystyle \sum _{k=0}^{\infty }{\frac {(4k)!(1103+26390k)}{(k!)^{4}396^{4k}}}={\frac {9801}{2{\sqrt {2}}\pi }}}
(see Srinivasa Ramanujan , Ramanujan–Sato series )
The following are efficient for calculating arbitrary binary digits of π :
∑
k
=
0
∞
(
−
1
)
k
4
k
(
2
4
k
+
1
+
2
4
k
+
2
+
1
4
k
+
3
)
=
π
{\displaystyle \sum _{k=0}^{\infty }{\frac {(-1)^{k}}{4^{k}}}\left({\frac {2}{4k+1}}+{\frac {2}{4k+2}}+{\frac {1}{4k+3}}\right)=\pi }
[ 5]
∑
k
=
0
∞
1
16
k
(
4
8
k
+
1
−
2
8
k
+
4
−
1
8
k
+
5
−
1
8
k
+
6
)
=
π
{\displaystyle \sum _{k=0}^{\infty }{\frac {1}{16^{k}}}\left({\frac {4}{8k+1}}-{\frac {2}{8k+4}}-{\frac {1}{8k+5}}-{\frac {1}{8k+6}}\right)=\pi }
(see Bailey–Borwein–Plouffe formula )
∑
k
=
0
∞
1
16
k
(
8
8
k
+
2
+
4
8
k
+
3
+
4
8
k
+
4
−
1
8
k
+
7
)
=
2
π
{\displaystyle \sum _{k=0}^{\infty }{\frac {1}{16^{k}}}\left({\frac {8}{8k+2}}+{\frac {4}{8k+3}}+{\frac {4}{8k+4}}-{\frac {1}{8k+7}}\right)=2\pi }
∑
k
=
0
∞
(
−
1
)
k
2
10
k
(
−
2
5
4
k
+
1
−
1
4
k
+
3
+
2
8
10
k
+
1
−
2
6
10
k
+
3
−
2
2
10
k
+
5
−
2
2
10
k
+
7
+
1
10
k
+
9
)
=
2
6
π
{\displaystyle \sum _{k=0}^{\infty }{\frac {{(-1)}^{k}}{2^{10k}}}\left(-{\frac {2^{5}}{4k+1}}-{\frac {1}{4k+3}}+{\frac {2^{8}}{10k+1}}-{\frac {2^{6}}{10k+3}}-{\frac {2^{2}}{10k+5}}-{\frac {2^{2}}{10k+7}}+{\frac {1}{10k+9}}\right)=2^{6}\pi }
Plouffe's series for calculating arbitrary decimal digits of π :[ 6]
∑
k
=
1
∞
k
2
k
k
!
2
(
2
k
)
!
=
π
+
3
{\displaystyle \sum _{k=1}^{\infty }k{\frac {2^{k}k!^{2}}{(2k)!}}=\pi +3}
Other infinite series [ edit ]
ζ
(
2
)
=
1
1
2
+
1
2
2
+
1
3
2
+
1
4
2
+
⋯
=
π
2
6
{\displaystyle \zeta (2)={\frac {1}{1^{2}}}+{\frac {1}{2^{2}}}+{\frac {1}{3^{2}}}+{\frac {1}{4^{2}}}+\cdots ={\frac {\pi ^{2}}{6}}}
(see also Basel problem and Riemann zeta function )
ζ
(
4
)
=
1
1
4
+
1
2
4
+
1
3
4
+
1
4
4
+
⋯
=
π
4
90
{\displaystyle \zeta (4)={\frac {1}{1^{4}}}+{\frac {1}{2^{4}}}+{\frac {1}{3^{4}}}+{\frac {1}{4^{4}}}+\cdots ={\frac {\pi ^{4}}{90}}}
ζ
(
2
n
)
=
∑
k
=
1
∞
1
k
2
n
=
1
1
2
n
+
1
2
2
n
+
1
3
2
n
+
1
4
2
n
+
⋯
=
(
−
1
)
n
+
1
B
2
n
(
2
π
)
2
n
2
(
2
n
)
!
{\displaystyle \zeta (2n)=\sum _{k=1}^{\infty }{\frac {1}{k^{2n}}}\,={\frac {1}{1^{2n}}}+{\frac {1}{2^{2n}}}+{\frac {1}{3^{2n}}}+{\frac {1}{4^{2n}}}+\cdots =(-1)^{n+1}{\frac {B_{2n}(2\pi )^{2n}}{2(2n)!}}}
, where B 2n is a Bernoulli number .
∑
n
=
1
∞
3
n
−
1
4
n
ζ
(
n
+
1
)
=
π
{\displaystyle \sum _{n=1}^{\infty }{\frac {3^{n}-1}{4^{n}}}\,\zeta (n+1)=\pi }
[ 7]
∑
n
=
1
∞
7
n
−
1
8
n
ζ
(
n
+
1
)
=
(
1
+
2
)
π
{\displaystyle \sum _{n=1}^{\infty }{\frac {7^{n}-1}{8^{n}}}\,\zeta (n+1)=(1+{\sqrt {2}})\pi }
∑
n
=
2
∞
2
(
3
/
2
)
n
−
3
n
(
ζ
(
n
)
−
1
)
=
ln
π
{\displaystyle \sum _{n=2}^{\infty }{\frac {2(3/2)^{n}-3}{n}}(\zeta (n)-1)=\ln \pi }
∑
n
=
1
∞
ζ
(
2
n
)
x
2
n
n
=
ln
π
x
sin
π
x
,
0
<
|
x
|
<
1
{\displaystyle \sum _{n=1}^{\infty }\zeta (2n){\frac {x^{2n}}{n}}=\ln {\frac {\pi x}{\sin \pi x}},\quad 0<|x|<1}
∑
n
=
0
∞
(
−
1
)
n
2
n
+
1
=
1
−
1
3
+
1
5
−
1
7
+
1
9
−
⋯
=
arctan
1
=
π
4
{\displaystyle \sum _{n=0}^{\infty }{\frac {(-1)^{n}}{2n+1}}=1-{\frac {1}{3}}+{\frac {1}{5}}-{\frac {1}{7}}+{\frac {1}{9}}-\cdots =\arctan {1}={\frac {\pi }{4}}}
(see Leibniz formula for pi )
∑
n
=
0
∞
(
−
1
)
(
n
2
−
n
)
/
2
2
n
+
1
=
1
+
1
3
−
1
5
−
1
7
+
1
9
+
1
11
−
⋯
=
π
2
2
{\displaystyle \sum _{n=0}^{\infty }{\frac {(-1)^{(n^{2}-n)/2}}{2n+1}}=1+{\frac {1}{3}}-{\frac {1}{5}}-{\frac {1}{7}}+{\frac {1}{9}}+{\frac {1}{11}}-\cdots ={\frac {\pi }{2{\sqrt {2}}}}}
(Newton , Second Letter to Oldenburg , 1676)[ 8]
∑
n
=
0
∞
(
−
1
)
n
3
n
(
2
n
+
1
)
=
1
−
1
3
1
⋅
3
+
1
3
2
⋅
5
−
1
3
3
⋅
7
+
1
3
4
⋅
9
−
⋯
=
3
arctan
1
3
=
π
2
3
{\displaystyle \sum _{n=0}^{\infty }{\frac {(-1)^{n}}{3^{n}(2n+1)}}=1-{\frac {1}{3^{1}\cdot 3}}+{\frac {1}{3^{2}\cdot 5}}-{\frac {1}{3^{3}\cdot 7}}+{\frac {1}{3^{4}\cdot 9}}-\cdots ={\sqrt {3}}\arctan {\frac {1}{\sqrt {3}}}={\frac {\pi }{2{\sqrt {3}}}}}
(Madhava series )
∑
n
=
1
∞
(
−
1
)
n
+
1
n
2
=
1
1
2
−
1
2
2
+
1
3
2
−
1
4
2
+
⋯
=
π
2
12
{\displaystyle \sum _{n=1}^{\infty }{\frac {(-1)^{n+1}}{n^{2}}}={\frac {1}{1^{2}}}-{\frac {1}{2^{2}}}+{\frac {1}{3^{2}}}-{\frac {1}{4^{2}}}+\cdots ={\frac {\pi ^{2}}{12}}}
∑
n
=
1
∞
1
(
2
n
)
2
=
1
2
2
+
1
4
2
+
1
6
2
+
1
8
2
+
⋯
=
π
2
24
{\displaystyle \sum _{n=1}^{\infty }{\frac {1}{(2n)^{2}}}={\frac {1}{2^{2}}}+{\frac {1}{4^{2}}}+{\frac {1}{6^{2}}}+{\frac {1}{8^{2}}}+\cdots ={\frac {\pi ^{2}}{24}}}
∑
n
=
0
∞
(
1
2
n
+
1
)
2
=
1
1
2
+
1
3
2
+
1
5
2
+
1
7
2
+
⋯
=
π
2
8
{\displaystyle \sum _{n=0}^{\infty }\left({\frac {1}{2n+1}}\right)^{2}={\frac {1}{1^{2}}}+{\frac {1}{3^{2}}}+{\frac {1}{5^{2}}}+{\frac {1}{7^{2}}}+\cdots ={\frac {\pi ^{2}}{8}}}
∑
n
=
0
∞
(
(
−
1
)
n
2
n
+
1
)
3
=
1
1
3
−
1
3
3
+
1
5
3
−
1
7
3
+
⋯
=
π
3
32
{\displaystyle \sum _{n=0}^{\infty }\left({\frac {(-1)^{n}}{2n+1}}\right)^{3}={\frac {1}{1^{3}}}-{\frac {1}{3^{3}}}+{\frac {1}{5^{3}}}-{\frac {1}{7^{3}}}+\cdots ={\frac {\pi ^{3}}{32}}}
∑
n
=
0
∞
(
1
2
n
+
1
)
4
=
1
1
4
+
1
3
4
+
1
5
4
+
1
7
4
+
⋯
=
π
4
96
{\displaystyle \sum _{n=0}^{\infty }\left({\frac {1}{2n+1}}\right)^{4}={\frac {1}{1^{4}}}+{\frac {1}{3^{4}}}+{\frac {1}{5^{4}}}+{\frac {1}{7^{4}}}+\cdots ={\frac {\pi ^{4}}{96}}}
∑
n
=
0
∞
(
(
−
1
)
n
2
n
+
1
)
5
=
1
1
5
−
1
3
5
+
1
5
5
−
1
7
5
+
⋯
=
5
π
5
1536
{\displaystyle \sum _{n=0}^{\infty }\left({\frac {(-1)^{n}}{2n+1}}\right)^{5}={\frac {1}{1^{5}}}-{\frac {1}{3^{5}}}+{\frac {1}{5^{5}}}-{\frac {1}{7^{5}}}+\cdots ={\frac {5\pi ^{5}}{1536}}}
∑
n
=
0
∞
(
1
2
n
+
1
)
6
=
1
1
6
+
1
3
6
+
1
5
6
+
1
7
6
+
⋯
=
π
6
960
{\displaystyle \sum _{n=0}^{\infty }\left({\frac {1}{2n+1}}\right)^{6}={\frac {1}{1^{6}}}+{\frac {1}{3^{6}}}+{\frac {1}{5^{6}}}+{\frac {1}{7^{6}}}+\cdots ={\frac {\pi ^{6}}{960}}}
In general,
∑
n
=
0
∞
(
−
1
)
n
(
2
n
+
1
)
2
k
+
1
=
(
−
1
)
k
E
2
k
2
(
2
k
)
!
(
π
2
)
2
k
+
1
,
k
∈
N
0
{\displaystyle \sum _{n=0}^{\infty }{\frac {(-1)^{n}}{(2n+1)^{2k+1}}}=(-1)^{k}{\frac {E_{2k}}{2(2k)!}}\left({\frac {\pi }{2}}\right)^{2k+1},\quad k\in \mathbb {N} _{0}}
where
E
2
k
{\displaystyle E_{2k}}
is the
2
k
{\displaystyle 2k}
th Euler number .[ 9]
∑
n
=
0
∞
(
1
2
n
)
(
−
1
)
n
2
n
+
1
=
1
−
1
6
−
1
40
−
⋯
=
π
4
{\displaystyle \sum _{n=0}^{\infty }{\binom {\frac {1}{2}}{n}}{\frac {(-1)^{n}}{2n+1}}=1-{\frac {1}{6}}-{\frac {1}{40}}-\cdots ={\frac {\pi }{4}}}
∑
n
=
0
∞
1
(
4
n
+
1
)
(
4
n
+
3
)
=
1
1
⋅
3
+
1
5
⋅
7
+
1
9
⋅
11
+
⋯
=
π
8
{\displaystyle \sum _{n=0}^{\infty }{\frac {1}{(4n+1)(4n+3)}}={\frac {1}{1\cdot 3}}+{\frac {1}{5\cdot 7}}+{\frac {1}{9\cdot 11}}+\cdots ={\frac {\pi }{8}}}
∑
n
=
1
∞
(
−
1
)
(
n
2
+
n
)
/
2
+
1
|
G
(
(
−
1
)
n
+
1
+
6
n
−
3
)
/
4
|
=
|
G
1
|
+
|
G
2
|
−
|
G
4
|
−
|
G
5
|
+
|
G
7
|
+
|
G
8
|
−
|
G
10
|
−
|
G
11
|
+
⋯
=
3
π
{\displaystyle \sum _{n=1}^{\infty }(-1)^{(n^{2}+n)/2+1}\left|G_{\left((-1)^{n+1}+6n-3\right)/4}\right|=|G_{1}|+|G_{2}|-|G_{4}|-|G_{5}|+|G_{7}|+|G_{8}|-|G_{10}|-|G_{11}|+\cdots ={\frac {\sqrt {3}}{\pi }}}
(see Gregory coefficients )
∑
n
=
0
∞
(
1
/
2
)
n
2
2
n
n
!
2
∑
n
=
0
∞
n
(
1
/
2
)
n
2
2
n
n
!
2
=
1
π
{\displaystyle \sum _{n=0}^{\infty }{\frac {(1/2)_{n}^{2}}{2^{n}n!^{2}}}\sum _{n=0}^{\infty }{\frac {n(1/2)_{n}^{2}}{2^{n}n!^{2}}}={\frac {1}{\pi }}}
(where
(
x
)
n
{\displaystyle (x)_{n}}
is the rising factorial )[ 10]
∑
n
=
1
∞
(
−
1
)
n
+
1
n
(
n
+
1
)
(
2
n
+
1
)
=
π
−
3
{\displaystyle \sum _{n=1}^{\infty }{\frac {(-1)^{n+1}}{n(n+1)(2n+1)}}=\pi -3}
(Nilakantha series)
∑
n
=
1
∞
F
2
n
n
2
(
2
n
n
)
=
4
π
2
25
5
{\displaystyle \sum _{n=1}^{\infty }{\frac {F_{2n}}{n^{2}{\binom {2n}{n}}}}={\frac {4\pi ^{2}}{25{\sqrt {5}}}}}
(where
F
n
{\displaystyle F_{n}}
is the n -th Fibonacci number )
∑
n
=
1
∞
L
2
n
n
2
(
2
n
n
)
=
π
2
5
{\displaystyle \sum _{n=1}^{\infty }{\frac {L_{2n}}{n^{2}{\binom {2n}{n}}}}={\frac {\pi ^{2}}{5}}}
(where
L
n
{\displaystyle L_{n}}
is the n -th Lucas number )
∑
n
=
1
∞
σ
(
n
)
e
−
2
π
n
=
1
24
−
1
8
π
{\displaystyle \sum _{n=1}^{\infty }\sigma (n)e^{-2\pi n}={\frac {1}{24}}-{\frac {1}{8\pi }}}
(where
σ
{\displaystyle \sigma }
is the sum-of-divisors function )
π
=
∑
n
=
1
∞
(
−
1
)
ε
(
n
)
n
=
1
+
1
2
+
1
3
+
1
4
−
1
5
+
1
6
+
1
7
+
1
8
+
1
9
−
1
10
+
1
11
+
1
12
−
1
13
+
⋯
{\displaystyle \pi =\sum _{n=1}^{\infty }{\frac {(-1)^{\varepsilon (n)}}{n}}=1+{\frac {1}{2}}+{\frac {1}{3}}+{\frac {1}{4}}-{\frac {1}{5}}+{\frac {1}{6}}+{\frac {1}{7}}+{\frac {1}{8}}+{\frac {1}{9}}-{\frac {1}{10}}+{\frac {1}{11}}+{\frac {1}{12}}-{\frac {1}{13}}+\cdots }
(where
ε
(
n
)
{\displaystyle \varepsilon (n)}
is the number of prime factors of the form
p
≡
1
(
m
o
d
4
)
{\displaystyle p\equiv 1\,(\mathrm {mod} \,4)}
of
n
{\displaystyle n}
)[ 11] [ 12]
π
2
=
∑
n
=
1
∞
(
−
1
)
ε
(
n
)
n
=
1
+
1
2
−
1
3
+
1
4
+
1
5
−
1
6
−
1
7
+
1
8
+
1
9
+
⋯
{\displaystyle {\frac {\pi }{2}}=\sum _{n=1}^{\infty }{\frac {(-1)^{\varepsilon (n)}}{n}}=1+{\frac {1}{2}}-{\frac {1}{3}}+{\frac {1}{4}}+{\frac {1}{5}}-{\frac {1}{6}}-{\frac {1}{7}}+{\frac {1}{8}}+{\frac {1}{9}}+\cdots }
(where
ε
(
n
)
{\displaystyle \varepsilon (n)}
is the number of prime factors of the form
p
≡
3
(
m
o
d
4
)
{\displaystyle p\equiv 3\,(\mathrm {mod} \,4)}
of
n
{\displaystyle n}
)[ 13]
π
=
∑
n
=
−
∞
∞
(
−
1
)
n
n
+
1
/
2
{\displaystyle \pi =\sum _{n=-\infty }^{\infty }{\frac {(-1)^{n}}{n+1/2}}}
π
2
=
∑
n
=
−
∞
∞
1
(
n
+
1
/
2
)
2
{\displaystyle \pi ^{2}=\sum _{n=-\infty }^{\infty }{\frac {1}{(n+1/2)^{2}}}}
[ 14]
The last two formulas are special cases of
π
sin
π
x
=
∑
n
=
−
∞
∞
(
−
1
)
n
n
+
x
(
π
sin
π
x
)
2
=
∑
n
=
−
∞
∞
1
(
n
+
x
)
2
{\displaystyle {\begin{aligned}{\frac {\pi }{\sin \pi x}}&=\sum _{n=-\infty }^{\infty }{\frac {(-1)^{n}}{n+x}}\\\left({\frac {\pi }{\sin \pi x}}\right)^{2}&=\sum _{n=-\infty }^{\infty }{\frac {1}{(n+x)^{2}}}\end{aligned}}}
which generate infinitely many analogous formulas for
π
{\displaystyle \pi }
when
x
∈
Q
∖
Z
.
{\displaystyle x\in \mathbb {Q} \setminus \mathbb {Z} .}
Some formulas relating π and harmonic numbers are given here . Further infinite series involving π are:[ 15]
π
=
1
Z
{\displaystyle \pi ={\frac {1}{Z}}}
Z
=
∑
n
=
0
∞
(
(
2
n
)
!
)
3
(
42
n
+
5
)
(
n
!
)
6
16
3
n
+
1
{\displaystyle Z=\sum _{n=0}^{\infty }{\frac {((2n)!)^{3}(42n+5)}{(n!)^{6}{16}^{3n+1}}}}
π
=
4
Z
{\displaystyle \pi ={\frac {4}{Z}}}
Z
=
∑
n
=
0
∞
(
−
1
)
n
(
4
n
)
!
(
21460
n
+
1123
)
(
n
!
)
4
441
2
n
+
1
2
10
n
+
1
{\displaystyle Z=\sum _{n=0}^{\infty }{\frac {(-1)^{n}(4n)!(21460n+1123)}{(n!)^{4}{441}^{2n+1}{2}^{10n+1}}}}
π
=
4
Z
{\displaystyle \pi ={\frac {4}{Z}}}
Z
=
∑
n
=
0
∞
(
6
n
+
1
)
(
1
2
)
n
3
4
n
(
n
!
)
3
{\displaystyle Z=\sum _{n=0}^{\infty }{\frac {(6n+1)\left({\frac {1}{2}}\right)_{n}^{3}}{{4^{n}}(n!)^{3}}}}
π
=
32
Z
{\displaystyle \pi ={\frac {32}{Z}}}
Z
=
∑
n
=
0
∞
(
5
−
1
2
)
8
n
(
42
n
5
+
30
n
+
5
5
−
1
)
(
1
2
)
n
3
64
n
(
n
!
)
3
{\displaystyle Z=\sum _{n=0}^{\infty }\left({\frac {{\sqrt {5}}-1}{2}}\right)^{8n}{\frac {(42n{\sqrt {5}}+30n+5{\sqrt {5}}-1)\left({\frac {1}{2}}\right)_{n}^{3}}{{64^{n}}(n!)^{3}}}}
π
=
27
4
Z
{\displaystyle \pi ={\frac {27}{4Z}}}
Z
=
∑
n
=
0
∞
(
2
27
)
n
(
15
n
+
2
)
(
1
2
)
n
(
1
3
)
n
(
2
3
)
n
(
n
!
)
3
{\displaystyle Z=\sum _{n=0}^{\infty }\left({\frac {2}{27}}\right)^{n}{\frac {(15n+2)\left({\frac {1}{2}}\right)_{n}\left({\frac {1}{3}}\right)_{n}\left({\frac {2}{3}}\right)_{n}}{(n!)^{3}}}}
π
=
15
3
2
Z
{\displaystyle \pi ={\frac {15{\sqrt {3}}}{2Z}}}
Z
=
∑
n
=
0
∞
(
4
125
)
n
(
33
n
+
4
)
(
1
2
)
n
(
1
3
)
n
(
2
3
)
n
(
n
!
)
3
{\displaystyle Z=\sum _{n=0}^{\infty }\left({\frac {4}{125}}\right)^{n}{\frac {(33n+4)\left({\frac {1}{2}}\right)_{n}\left({\frac {1}{3}}\right)_{n}\left({\frac {2}{3}}\right)_{n}}{(n!)^{3}}}}
π
=
85
85
18
3
Z
{\displaystyle \pi ={\frac {85{\sqrt {85}}}{18{\sqrt {3}}Z}}}
Z
=
∑
n
=
0
∞
(
4
85
)
n
(
133
n
+
8
)
(
1
2
)
n
(
1
6
)
n
(
5
6
)
n
(
n
!
)
3
{\displaystyle Z=\sum _{n=0}^{\infty }\left({\frac {4}{85}}\right)^{n}{\frac {(133n+8)\left({\frac {1}{2}}\right)_{n}\left({\frac {1}{6}}\right)_{n}\left({\frac {5}{6}}\right)_{n}}{(n!)^{3}}}}
π
=
5
5
2
3
Z
{\displaystyle \pi ={\frac {5{\sqrt {5}}}{2{\sqrt {3}}Z}}}
Z
=
∑
n
=
0
∞
(
4
125
)
n
(
11
n
+
1
)
(
1
2
)
n
(
1
6
)
n
(
5
6
)
n
(
n
!
)
3
{\displaystyle Z=\sum _{n=0}^{\infty }\left({\frac {4}{125}}\right)^{n}{\frac {(11n+1)\left({\frac {1}{2}}\right)_{n}\left({\frac {1}{6}}\right)_{n}\left({\frac {5}{6}}\right)_{n}}{(n!)^{3}}}}
π
=
2
3
Z
{\displaystyle \pi ={\frac {2{\sqrt {3}}}{Z}}}
Z
=
∑
n
=
0
∞
(
8
n
+
1
)
(
1
2
)
n
(
1
4
)
n
(
3
4
)
n
(
n
!
)
3
9
n
{\displaystyle Z=\sum _{n=0}^{\infty }{\frac {(8n+1)\left({\frac {1}{2}}\right)_{n}\left({\frac {1}{4}}\right)_{n}\left({\frac {3}{4}}\right)_{n}}{(n!)^{3}{9}^{n}}}}
π
=
3
9
Z
{\displaystyle \pi ={\frac {\sqrt {3}}{9Z}}}
Z
=
∑
n
=
0
∞
(
40
n
+
3
)
(
1
2
)
n
(
1
4
)
n
(
3
4
)
n
(
n
!
)
3
49
2
n
+
1
{\displaystyle Z=\sum _{n=0}^{\infty }{\frac {(40n+3)\left({\frac {1}{2}}\right)_{n}\left({\frac {1}{4}}\right)_{n}\left({\frac {3}{4}}\right)_{n}}{(n!)^{3}{49}^{2n+1}}}}
π
=
2
11
11
Z
{\displaystyle \pi ={\frac {2{\sqrt {11}}}{11Z}}}
Z
=
∑
n
=
0
∞
(
280
n
+
19
)
(
1
2
)
n
(
1
4
)
n
(
3
4
)
n
(
n
!
)
3
99
2
n
+
1
{\displaystyle Z=\sum _{n=0}^{\infty }{\frac {(280n+19)\left({\frac {1}{2}}\right)_{n}\left({\frac {1}{4}}\right)_{n}\left({\frac {3}{4}}\right)_{n}}{(n!)^{3}{99}^{2n+1}}}}
π
=
2
4
Z
{\displaystyle \pi ={\frac {\sqrt {2}}{4Z}}}
Z
=
∑
n
=
0
∞
(
10
n
+
1
)
(
1
2
)
n
(
1
4
)
n
(
3
4
)
n
(
n
!
)
3
9
2
n
+
1
{\displaystyle Z=\sum _{n=0}^{\infty }{\frac {(10n+1)\left({\frac {1}{2}}\right)_{n}\left({\frac {1}{4}}\right)_{n}\left({\frac {3}{4}}\right)_{n}}{(n!)^{3}{9}^{2n+1}}}}
π
=
4
5
5
Z
{\displaystyle \pi ={\frac {4{\sqrt {5}}}{5Z}}}
Z
=
∑
n
=
0
∞
(
644
n
+
41
)
(
1
2
)
n
(
1
4
)
n
(
3
4
)
n
(
n
!
)
3
5
n
72
2
n
+
1
{\displaystyle Z=\sum _{n=0}^{\infty }{\frac {(644n+41)\left({\frac {1}{2}}\right)_{n}\left({\frac {1}{4}}\right)_{n}\left({\frac {3}{4}}\right)_{n}}{(n!)^{3}5^{n}{72}^{2n+1}}}}
π
=
4
3
3
Z
{\displaystyle \pi ={\frac {4{\sqrt {3}}}{3Z}}}
Z
=
∑
n
=
0
∞
(
−
1
)
n
(
28
n
+
3
)
(
1
2
)
n
(
1
4
)
n
(
3
4
)
n
(
n
!
)
3
3
n
4
n
+
1
{\displaystyle Z=\sum _{n=0}^{\infty }{\frac {(-1)^{n}(28n+3)\left({\frac {1}{2}}\right)_{n}\left({\frac {1}{4}}\right)_{n}\left({\frac {3}{4}}\right)_{n}}{(n!)^{3}{3^{n}}{4}^{n+1}}}}
π
=
4
Z
{\displaystyle \pi ={\frac {4}{Z}}}
Z
=
∑
n
=
0
∞
(
−
1
)
n
(
20
n
+
3
)
(
1
2
)
n
(
1
4
)
n
(
3
4
)
n
(
n
!
)
3
2
2
n
+
1
{\displaystyle Z=\sum _{n=0}^{\infty }{\frac {(-1)^{n}(20n+3)\left({\frac {1}{2}}\right)_{n}\left({\frac {1}{4}}\right)_{n}\left({\frac {3}{4}}\right)_{n}}{(n!)^{3}{2}^{2n+1}}}}
π
=
72
Z
{\displaystyle \pi ={\frac {72}{Z}}}
Z
=
∑
n
=
0
∞
(
−
1
)
n
(
4
n
)
!
(
260
n
+
23
)
(
n
!
)
4
4
4
n
18
2
n
{\displaystyle Z=\sum _{n=0}^{\infty }{\frac {(-1)^{n}(4n)!(260n+23)}{(n!)^{4}4^{4n}18^{2n}}}}
π
=
3528
Z
{\displaystyle \pi ={\frac {3528}{Z}}}
Z
=
∑
n
=
0
∞
(
−
1
)
n
(
4
n
)
!
(
21460
n
+
1123
)
(
n
!
)
4
4
4
n
882
2
n
{\displaystyle Z=\sum _{n=0}^{\infty }{\frac {(-1)^{n}(4n)!(21460n+1123)}{(n!)^{4}4^{4n}882^{2n}}}}
where
(
x
)
n
{\displaystyle (x)_{n}}
is the Pochhammer symbol for the rising factorial . See also Ramanujan–Sato series .
π
4
=
arctan
1
{\displaystyle {\frac {\pi }{4}}=\arctan 1}
π
4
=
arctan
1
2
+
arctan
1
3
{\displaystyle {\frac {\pi }{4}}=\arctan {\frac {1}{2}}+\arctan {\frac {1}{3}}}
π
4
=
2
arctan
1
2
−
arctan
1
7
{\displaystyle {\frac {\pi }{4}}=2\arctan {\frac {1}{2}}-\arctan {\frac {1}{7}}}
π
4
=
2
arctan
1
3
+
arctan
1
7
{\displaystyle {\frac {\pi }{4}}=2\arctan {\frac {1}{3}}+\arctan {\frac {1}{7}}}
π
4
=
4
arctan
1
5
−
arctan
1
239
{\displaystyle {\frac {\pi }{4}}=4\arctan {\frac {1}{5}}-\arctan {\frac {1}{239}}}
(the original Machin's formula)
π
4
=
5
arctan
1
7
+
2
arctan
3
79
{\displaystyle {\frac {\pi }{4}}=5\arctan {\frac {1}{7}}+2\arctan {\frac {3}{79}}}
π
4
=
6
arctan
1
8
+
2
arctan
1
57
+
arctan
1
239
{\displaystyle {\frac {\pi }{4}}=6\arctan {\frac {1}{8}}+2\arctan {\frac {1}{57}}+\arctan {\frac {1}{239}}}
π
4
=
12
arctan
1
49
+
32
arctan
1
57
−
5
arctan
1
239
+
12
arctan
1
110443
{\displaystyle {\frac {\pi }{4}}=12\arctan {\frac {1}{49}}+32\arctan {\frac {1}{57}}-5\arctan {\frac {1}{239}}+12\arctan {\frac {1}{110443}}}
π
4
=
44
arctan
1
57
+
7
arctan
1
239
−
12
arctan
1
682
+
24
arctan
1
12943
{\displaystyle {\frac {\pi }{4}}=44\arctan {\frac {1}{57}}+7\arctan {\frac {1}{239}}-12\arctan {\frac {1}{682}}+24\arctan {\frac {1}{12943}}}
π
4
=
(
∏
p
≡
1
(
mod
4
)
p
p
−
1
)
⋅
(
∏
p
≡
3
(
mod
4
)
p
p
+
1
)
=
3
4
⋅
5
4
⋅
7
8
⋅
11
12
⋅
13
12
⋯
,
{\displaystyle {\frac {\pi }{4}}=\left(\prod _{p\equiv 1{\pmod {4}}}{\frac {p}{p-1}}\right)\cdot \left(\prod _{p\equiv 3{\pmod {4}}}{\frac {p}{p+1}}\right)={\frac {3}{4}}\cdot {\frac {5}{4}}\cdot {\frac {7}{8}}\cdot {\frac {11}{12}}\cdot {\frac {13}{12}}\cdots ,}
(Euler)
where the numerators are the odd primes; each denominator is the multiple of four nearest to the numerator.
3
π
6
=
(
∏
p
≡
1
(
mod
6
)
p
∈
P
p
p
−
1
)
⋅
(
∏
p
≡
5
(
mod
6
)
p
∈
P
p
p
+
1
)
=
5
6
⋅
7
6
⋅
11
12
⋅
13
12
⋅
17
18
⋯
{\displaystyle {\frac {{\sqrt {3}}\pi }{6}}=\left(\displaystyle \prod _{p\equiv 1{\pmod {6}} \atop p\in \mathbb {P} }{\frac {p}{p-1}}\right)\cdot \left(\displaystyle \prod _{p\equiv 5{\pmod {6}} \atop p\in \mathbb {P} }{\frac {p}{p+1}}\right)={\frac {5}{6}}\cdot {\frac {7}{6}}\cdot {\frac {11}{12}}\cdot {\frac {13}{12}}\cdot {\frac {17}{18}}\cdots }
π
2
=
∏
n
=
1
∞
(
2
n
)
(
2
n
)
(
2
n
−
1
)
(
2
n
+
1
)
=
2
1
⋅
2
3
⋅
4
3
⋅
4
5
⋅
6
5
⋅
6
7
⋅
8
7
⋅
8
9
⋯
{\displaystyle {\frac {\pi }{2}}=\prod _{n=1}^{\infty }{\frac {(2n)(2n)}{(2n-1)(2n+1)}}={\frac {2}{1}}\cdot {\frac {2}{3}}\cdot {\frac {4}{3}}\cdot {\frac {4}{5}}\cdot {\frac {6}{5}}\cdot {\frac {6}{7}}\cdot {\frac {8}{7}}\cdot {\frac {8}{9}}\cdots }
(see also Wallis product )
π
2
=
∏
n
=
1
∞
(
1
+
1
n
)
(
−
1
)
n
+
1
=
(
1
+
1
1
)
+
1
(
1
+
1
2
)
−
1
(
1
+
1
3
)
+
1
⋯
{\displaystyle {\frac {\pi }{2}}=\prod _{n=1}^{\infty }\left(1+{\frac {1}{n}}\right)^{(-1)^{n+1}}=\left(1+{\frac {1}{1}}\right)^{+1}\left(1+{\frac {1}{2}}\right)^{-1}\left(1+{\frac {1}{3}}\right)^{+1}\cdots }
(another form of Wallis product)
Viète's formula :
2
π
=
2
2
⋅
2
+
2
2
⋅
2
+
2
+
2
2
⋅
⋯
{\displaystyle {\frac {2}{\pi }}={\frac {\sqrt {2}}{2}}\cdot {\frac {\sqrt {2+{\sqrt {2}}}}{2}}\cdot {\frac {\sqrt {2+{\sqrt {2+{\sqrt {2}}}}}}{2}}\cdot \cdots }
A double infinite product formula involving the Thue–Morse sequence :
π
2
=
∏
m
≥
1
∏
n
≥
1
(
(
4
m
2
+
n
−
2
)
(
4
m
2
+
2
n
−
1
)
2
4
(
2
m
2
+
n
−
1
)
(
4
m
2
+
n
−
1
)
(
2
m
2
+
n
)
)
ϵ
n
,
{\displaystyle {\frac {\pi }{2}}=\prod _{m\geq 1}\prod _{n\geq 1}\left({\frac {(4m^{2}+n-2)(4m^{2}+2n-1)^{2}}{4(2m^{2}+n-1)(4m^{2}+n-1)(2m^{2}+n)}}\right)^{\epsilon _{n}},}
where
ϵ
n
=
(
−
1
)
t
n
{\displaystyle \epsilon _{n}=(-1)^{t_{n}}}
and
t
n
{\displaystyle t_{n}}
is the Thue–Morse sequence (Tóth 2020 ).
Infinite product representation from a limit:
π
4
=
∏
n
=
2
∞
(
n
−
1
)
n
(
2
n
−
1
)
(
n
+
1
)
n
(
2
n
+
1
)
n
4
n
2
=
lim
n
→
∞
(
n
!
)
2
(
n
+
2
)
2
n
2
+
5
n
+
3
8
(
n
+
1
)
2
n
2
+
7
n
+
4
{\displaystyle {\frac {\pi }{4}}=\prod _{n=2}^{\infty }{\frac {(n-1)^{n(2n-1)}(n+1)^{n(2n+1)}}{n^{4n^{2}}}}={\underset {n\to \infty }{\text{lim}}}{\frac {(n!)^{2}(n+2)^{2n^{2}+5n+3}}{8(n+1)^{2n^{2}+7n+4}}}}
[ 16]
π
2
k
+
1
=
arctan
2
−
a
k
−
1
a
k
,
k
≥
2
{\displaystyle {\frac {\pi }{2^{k+1}}}=\arctan {\frac {\sqrt {2-a_{k-1}}}{a_{k}}},\qquad \qquad k\geq 2}
π
4
=
∑
k
≥
2
arctan
2
−
a
k
−
1
a
k
,
{\displaystyle {\frac {\pi }{4}}=\sum _{k\geq 2}\arctan {\frac {\sqrt {2-a_{k-1}}}{a_{k}}},}
where
a
k
=
2
+
a
k
−
1
{\displaystyle a_{k}={\sqrt {2+a_{k-1}}}}
such that
a
1
=
2
{\displaystyle a_{1}={\sqrt {2}}}
.
π
2
=
∑
k
=
0
∞
arctan
1
F
2
k
+
1
=
arctan
1
1
+
arctan
1
2
+
arctan
1
5
+
arctan
1
13
+
⋯
{\displaystyle {\frac {\pi }{2}}=\sum _{k=0}^{\infty }\arctan {\frac {1}{F_{2k+1}}}=\arctan {\frac {1}{1}}+\arctan {\frac {1}{2}}+\arctan {\frac {1}{5}}+\arctan {\frac {1}{13}}+\cdots }
where
F
k
{\displaystyle F_{k}}
is the k -th Fibonacci number.
π
=
arctan
a
+
arctan
b
+
arctan
c
{\displaystyle \pi =\arctan a+\arctan b+\arctan c}
whenever
a
+
b
+
c
=
a
b
c
{\displaystyle a+b+c=abc}
and
a
{\displaystyle a}
,
b
{\displaystyle b}
,
c
{\displaystyle c}
are positive real numbers (see List of trigonometric identities ). A special case is
π
=
arctan
1
+
arctan
2
+
arctan
3.
{\displaystyle \pi =\arctan 1+\arctan 2+\arctan 3.}
e
i
π
+
1
=
0
{\displaystyle e^{i\pi }+1=0}
(Euler's identity )
The following equivalences are true for any complex
z
{\displaystyle z}
:
e
z
∈
R
↔
ℑ
z
∈
π
Z
{\displaystyle e^{z}\in \mathbb {R} \leftrightarrow \Im z\in \pi \mathbb {Z} }
e
z
=
1
↔
z
∈
2
π
i
Z
{\displaystyle e^{z}=1\leftrightarrow z\in 2\pi i\mathbb {Z} }
[ 17]
Also
1
e
z
−
1
=
lim
N
→
∞
∑
n
=
−
N
N
1
z
−
2
π
i
n
−
1
2
,
z
∈
C
.
{\displaystyle {\frac {1}{e^{z}-1}}=\lim _{N\to \infty }\sum _{n=-N}^{N}{\frac {1}{z-2\pi in}}-{\frac {1}{2}},\quad z\in \mathbb {C} .}
Suppose a lattice
Ω
{\displaystyle \Omega }
is generated by two periods
ω
1
,
ω
2
{\displaystyle \omega _{1},\omega _{2}}
. We define the quasi-periods of this lattice by
η
1
=
ζ
(
z
+
ω
1
;
Ω
)
−
ζ
(
z
;
Ω
)
{\displaystyle \eta _{1}=\zeta (z+\omega _{1};\Omega )-\zeta (z;\Omega )}
and
η
2
=
ζ
(
z
+
ω
2
;
Ω
)
−
ζ
(
z
;
Ω
)
{\displaystyle \eta _{2}=\zeta (z+\omega _{2};\Omega )-\zeta (z;\Omega )}
where
ζ
{\displaystyle \zeta }
is the Weierstrass zeta function (
η
1
{\displaystyle \eta _{1}}
and
η
2
{\displaystyle \eta _{2}}
are in fact independent of
z
{\displaystyle z}
). Then the periods and quasi-periods are related by the Legendre identity :
η
1
ω
2
−
η
2
ω
1
=
2
π
i
.
{\displaystyle \eta _{1}\omega _{2}-\eta _{2}\omega _{1}=2\pi i.}
4
π
=
1
+
1
2
2
+
3
2
2
+
5
2
2
+
7
2
2
+
⋱
{\displaystyle {\frac {4}{\pi }}=1+{\cfrac {1^{2}}{2+{\cfrac {3^{2}}{2+{\cfrac {5^{2}}{2+{\cfrac {7^{2}}{2+\ddots }}}}}}}}}
[ 18]
ϖ
2
π
=
2
+
1
2
4
+
3
2
4
+
5
2
4
+
7
2
4
+
⋱
{\displaystyle {\frac {\varpi ^{2}}{\pi }}={2+{\cfrac {1^{2}}{4+{\cfrac {3^{2}}{4+{\cfrac {5^{2}}{4+{\cfrac {7^{2}}{4+\ddots \,}}}}}}}}}\quad }
(Ramanujan ,
ϖ
{\displaystyle \varpi }
is the lemniscate constant )[ 19]
π
=
3
+
1
2
6
+
3
2
6
+
5
2
6
+
7
2
6
+
⋱
{\displaystyle \pi ={3+{\cfrac {1^{2}}{6+{\cfrac {3^{2}}{6+{\cfrac {5^{2}}{6+{\cfrac {7^{2}}{6+\ddots \,}}}}}}}}}}
[ 18]
π
=
4
1
+
1
2
3
+
2
2
5
+
3
2
7
+
4
2
9
+
⋱
{\displaystyle \pi ={\cfrac {4}{1+{\cfrac {1^{2}}{3+{\cfrac {2^{2}}{5+{\cfrac {3^{2}}{7+{\cfrac {4^{2}}{9+\ddots }}}}}}}}}}}
2
π
=
6
+
2
2
12
+
6
2
12
+
10
2
12
+
14
2
12
+
18
2
12
+
⋱
{\displaystyle 2\pi ={6+{\cfrac {2^{2}}{12+{\cfrac {6^{2}}{12+{\cfrac {10^{2}}{12+{\cfrac {14^{2}}{12+{\cfrac {18^{2}}{12+\ddots }}}}}}}}}}}}
π
=
4
−
2
1
+
1
1
−
1
1
+
2
1
−
2
1
+
3
1
−
3
⋱
{\displaystyle \pi =4-{\cfrac {2}{1+{\cfrac {1}{1-{\cfrac {1}{1+{\cfrac {2}{1-{\cfrac {2}{1+{\cfrac {3}{1-{\cfrac {3}{\ddots }}}}}}}}}}}}}}}
For more on the fourth identity, see Euler's continued fraction formula .
Iterative algorithms [ edit ]
a
0
=
1
,
a
n
+
1
=
(
1
+
1
2
n
+
1
)
a
n
,
π
=
lim
n
→
∞
a
n
2
n
{\displaystyle a_{0}=1,\,a_{n+1}=\left(1+{\frac {1}{2n+1}}\right)a_{n},\,\pi =\lim _{n\to \infty }{\frac {a_{n}^{2}}{n}}}
a
1
=
0
,
a
n
+
1
=
2
+
a
n
,
π
=
lim
n
→
∞
2
n
2
−
a
n
{\displaystyle a_{1}=0,\,a_{n+1}={\sqrt {2+a_{n}}},\,\pi =\lim _{n\to \infty }2^{n}{\sqrt {2-a_{n}}}}
(closely related to Viète's formula)
ω
(
i
n
,
i
n
−
1
,
…
,
i
1
)
=
2
+
i
n
2
+
i
n
−
1
2
+
⋯
+
i
1
2
=
ω
(
b
n
,
b
n
−
1
,
…
,
b
1
)
,
i
k
∈
{
−
1
,
1
}
,
b
k
=
{
0
if
i
k
=
1
1
if
i
k
=
−
1
,
π
=
lim
n
→
∞
2
n
+
1
2
h
+
1
ω
(
10
…
0
⏟
n
−
m
g
m
,
h
+
1
)
{\displaystyle \omega (i_{n},i_{n-1},\dots ,i_{1})=2+i_{n}{\sqrt {2+i_{n-1}{\sqrt {2+\cdots +i_{1}{\sqrt {2}}}}}}=\omega (b_{n},b_{n-1},\dots ,b_{1}),\,i_{k}\in \{-1,1\},\,b_{k}={\begin{cases}0&{\text{if }}i_{k}=1\\1&{\text{if }}i_{k}=-1\end{cases}},\,\pi ={\displaystyle \lim _{n\rightarrow \infty }{\frac {2^{n+1}}{2h+1}}{\sqrt {\omega \left(\underbrace {10\ldots 0} _{n-m}g_{m,h+1}\right)}}}}
(where
g
m
,
h
+
1
{\displaystyle g_{m,h+1}}
is the h+1-th entry of m-bit Gray code ,
h
∈
{
0
,
1
,
…
,
2
m
−
1
}
{\displaystyle h\in \left\{0,1,\ldots ,2^{m}-1\right\}}
)[ 20]
∀
k
∈
N
,
a
1
=
2
−
k
,
a
n
+
1
=
a
n
+
2
−
k
(
1
−
tan
(
2
k
−
1
a
n
)
)
,
π
=
2
k
+
1
lim
n
→
∞
a
n
{\displaystyle \forall k\in \mathbb {N} ,\,a_{1}=2^{-k},\,a_{n+1}=a_{n}+2^{-k}(1-\tan(2^{k-1}a_{n})),\,\pi =2^{k+1}\lim _{n\to \infty }a_{n}}
(quadratic convergence)[ 21]
a
1
=
1
,
a
n
+
1
=
a
n
+
sin
a
n
,
π
=
lim
n
→
∞
a
n
{\displaystyle a_{1}=1,\,a_{n+1}=a_{n}+\sin a_{n},\,\pi =\lim _{n\to \infty }a_{n}}
(cubic convergence)[ 22]
a
0
=
2
3
,
b
0
=
3
,
a
n
+
1
=
hm
(
a
n
,
b
n
)
,
b
n
+
1
=
gm
(
a
n
+
1
,
b
n
)
,
π
=
lim
n
→
∞
a
n
=
lim
n
→
∞
b
n
{\displaystyle a_{0}=2{\sqrt {3}},\,b_{0}=3,\,a_{n+1}=\operatorname {hm} (a_{n},b_{n}),\,b_{n+1}=\operatorname {gm} (a_{n+1},b_{n}),\,\pi =\lim _{n\to \infty }a_{n}=\lim _{n\to \infty }b_{n}}
(Archimedes' algorithm, see also harmonic mean and geometric mean )[ 23]
For more iterative algorithms, see the Gauss–Legendre algorithm and Borwein's algorithm .
(
2
n
n
)
∼
4
n
π
n
{\displaystyle {\binom {2n}{n}}\sim {\frac {4^{n}}{\sqrt {\pi n}}}}
(asymptotic growth rate of the central binomial coefficients )
C
n
∼
4
n
π
n
3
{\displaystyle C_{n}\sim {\frac {4^{n}}{\sqrt {\pi n^{3}}}}}
(asymptotic growth rate of the Catalan numbers )
n
!
∼
2
π
n
(
n
e
)
n
{\displaystyle n!\sim {\sqrt {2\pi n}}\left({\frac {n}{e}}\right)^{n}}
(Stirling's approximation )
log
n
!
≃
(
n
+
1
2
)
log
n
−
n
+
log
2
π
2
{\displaystyle \log n!\simeq \left(n+{\frac {1}{2}}\right)\log n-n+{\frac {\log 2\pi }{2}}}
∑
k
=
1
n
φ
(
k
)
∼
3
n
2
π
2
{\displaystyle \sum _{k=1}^{n}\varphi (k)\sim {\frac {3n^{2}}{\pi ^{2}}}}
(where
φ
{\displaystyle \varphi }
is Euler's totient function )
∑
k
=
1
n
φ
(
k
)
k
∼
6
n
π
2
{\displaystyle \sum _{k=1}^{n}{\frac {\varphi (k)}{k}}\sim {\frac {6n}{\pi ^{2}}}}
The symbol
∼
{\displaystyle \sim }
means that the ratio of the left-hand side and the right-hand side tends to one as
n
→
∞
{\displaystyle n\to \infty }
.
The symbol
≃
{\displaystyle \simeq }
means that the difference between the left-hand side and the right-hand side tends to zero as
n
→
∞
{\displaystyle n\to \infty }
.
Hypergeometric inversions [ edit ]
With
2
F
1
{\displaystyle {}_{2}F_{1}}
being the hypergeometric function :
∑
n
=
0
∞
r
2
(
n
)
q
n
=
2
F
1
(
1
2
,
1
2
,
1
,
z
)
{\displaystyle \sum _{n=0}^{\infty }r_{2}(n)q^{n}={}_{2}F_{1}\left({\frac {1}{2}},{\frac {1}{2}},1,z\right)}
where
q
=
exp
(
−
π
2
F
1
(
1
/
2
,
1
/
2
,
1
,
1
−
z
)
2
F
1
(
1
/
2
,
1
/
2
,
1
,
z
)
)
,
z
∈
C
∖
{
0
,
1
}
{\displaystyle q=\exp \left(-\pi {\frac {{}_{2}F_{1}(1/2,1/2,1,1-z)}{{}_{2}F_{1}(1/2,1/2,1,z)}}\right),\quad z\in \mathbb {C} \setminus \{0,1\}}
and
r
2
{\displaystyle r_{2}}
is the sum of two squares function .
Similarly,
1
+
240
∑
n
=
1
∞
σ
3
(
n
)
q
n
=
2
F
1
(
1
6
,
5
6
,
1
,
z
)
4
{\displaystyle 1+240\sum _{n=1}^{\infty }\sigma _{3}(n)q^{n}={}_{2}F_{1}\left({\frac {1}{6}},{\frac {5}{6}},1,z\right)^{4}}
where
q
=
exp
(
−
2
π
2
F
1
(
1
/
6
,
5
/
6
,
1
,
1
−
z
)
2
F
1
(
1
/
6
,
5
/
6
,
1
,
z
)
)
,
z
∈
C
∖
{
0
,
1
}
{\displaystyle q=\exp \left(-2\pi {\frac {{}_{2}F_{1}(1/6,5/6,1,1-z)}{{}_{2}F_{1}(1/6,5/6,1,z)}}\right),\quad z\in \mathbb {C} \setminus \{0,1\}}
and
σ
3
{\displaystyle \sigma _{3}}
is a divisor function .
More formulas of this nature can be given, as explained by Ramanujan's theory of elliptic functions to alternative bases.
Perhaps the most notable hypergeometric inversions are the following two examples, involving the Ramanujan tau function
τ
{\displaystyle \tau }
and the Fourier coefficients
j
{\displaystyle \mathrm {j} }
of the J-invariant (OEIS : A000521 ):
∑
n
=
−
1
∞
j
n
q
n
=
256
(
1
−
z
+
z
2
)
3
z
2
(
1
−
z
)
2
,
{\displaystyle \sum _{n=-1}^{\infty }\mathrm {j} _{n}q^{n}=256{\dfrac {(1-z+z^{2})^{3}}{z^{2}(1-z)^{2}}},}
∑
n
=
1
∞
τ
(
n
)
q
n
=
z
2
(
1
−
z
)
2
256
2
F
1
(
1
2
,
1
2
,
1
,
z
)
12
{\displaystyle \sum _{n=1}^{\infty }\tau (n)q^{n}={\dfrac {z^{2}(1-z)^{2}}{256}}{}_{2}F_{1}\left({\frac {1}{2}},{\frac {1}{2}},1,z\right)^{12}}
where in both cases
q
=
exp
(
−
2
π
2
F
1
(
1
/
2
,
1
/
2
,
1
,
1
−
z
)
2
F
1
(
1
/
2
,
1
/
2
,
1
,
z
)
)
,
z
∈
C
∖
{
0
,
1
}
.
{\displaystyle q=\exp \left(-2\pi {\frac {{}_{2}F_{1}(1/2,1/2,1,1-z)}{{}_{2}F_{1}(1/2,1/2,1,z)}}\right),\quad z\in \mathbb {C} \setminus \{0,1\}.}
Furthermore, by expanding the last expression as a power series in
1
2
1
−
(
1
−
z
)
1
/
4
1
+
(
1
−
z
)
1
/
4
{\displaystyle {\dfrac {1}{2}}{\dfrac {1-(1-z)^{1/4}}{1+(1-z)^{1/4}}}}
and setting
z
=
1
/
2
{\displaystyle z=1/2}
, we obtain a rapidly convergent series for
e
−
2
π
{\displaystyle e^{-2\pi }}
:[ note 3]
e
−
2
π
=
w
2
+
4
w
6
+
34
w
10
+
360
w
14
+
4239
w
18
+
⋯
,
w
=
1
2
2
1
/
4
−
1
2
1
/
4
+
1
.
{\displaystyle e^{-2\pi }=w^{2}+4w^{6}+34w^{10}+360w^{14}+4239w^{18}+\cdots ,\quad w={\dfrac {1}{2}}{\dfrac {2^{1/4}-1}{2^{1/4}+1}}.}
Γ
(
s
)
Γ
(
1
−
s
)
=
π
sin
π
s
{\displaystyle \Gamma (s)\Gamma (1-s)={\frac {\pi }{\sin \pi s}}}
(Euler's reflection formula, see Gamma function )
π
−
s
/
2
Γ
(
s
2
)
ζ
(
s
)
=
π
−
(
1
−
s
)
/
2
Γ
(
1
−
s
2
)
ζ
(
1
−
s
)
{\displaystyle \pi ^{-s/2}\Gamma \left({\frac {s}{2}}\right)\zeta (s)=\pi ^{-(1-s)/2}\Gamma \left({\frac {1-s}{2}}\right)\zeta (1-s)}
(the functional equation of the Riemann zeta function)
e
−
ζ
′
(
0
)
=
2
π
{\displaystyle e^{-\zeta '(0)}={\sqrt {2\pi }}}
e
ζ
′
(
0
,
1
/
2
)
−
ζ
′
(
0
,
1
)
=
π
{\displaystyle e^{\zeta '(0,1/2)-\zeta '(0,1)}={\sqrt {\pi }}}
(where
ζ
(
s
,
a
)
{\displaystyle \zeta (s,a)}
is the Hurwitz zeta function and the derivative is taken with respect to the first variable)
π
=
B
(
1
/
2
,
1
/
2
)
=
Γ
(
1
/
2
)
2
{\displaystyle \pi =\mathrm {B} (1/2,1/2)=\Gamma (1/2)^{2}}
(see also Beta function )
π
=
Γ
(
3
/
4
)
4
agm
(
1
,
1
/
2
)
2
=
Γ
(
1
/
4
)
4
/
3
agm
(
1
,
2
)
2
/
3
2
{\displaystyle \pi ={\frac {\Gamma (3/4)^{4}}{\operatorname {agm} (1,1/{\sqrt {2}})^{2}}}={\frac {\Gamma \left({1/4}\right)^{4/3}\operatorname {agm} (1,{\sqrt {2}})^{2/3}}{2}}}
(where agm is the arithmetic–geometric mean )
π
=
agm
(
θ
2
2
(
1
/
e
)
,
θ
3
2
(
1
/
e
)
)
{\displaystyle \pi =\operatorname {agm} \left(\theta _{2}^{2}(1/e),\theta _{3}^{2}(1/e)\right)}
(where
θ
2
{\displaystyle \theta _{2}}
and
θ
3
{\displaystyle \theta _{3}}
are the Jacobi theta functions [ 24] )
agm
(
1
,
2
)
=
π
ϖ
{\displaystyle \operatorname {agm} (1,{\sqrt {2}})={\frac {\pi }{\varpi }}}
(due to Gauss ,[ 25]
ϖ
{\displaystyle \varpi }
is the lemniscate constant )
N
(
2
ϖ
)
=
e
2
π
,
N
(
ϖ
)
=
e
π
/
2
{\displaystyle \operatorname {N} (2\varpi )=e^{2\pi },\quad \operatorname {N} (\varpi )=e^{\pi /2}}
(where
N
{\displaystyle \operatorname {N} }
is the Gauss N-function )
i
π
=
Log
(
−
1
)
=
lim
n
→
∞
n
(
(
−
1
)
1
/
n
−
1
)
{\displaystyle i\pi =\operatorname {Log} (-1)=\lim _{n\to \infty }n\left((-1)^{1/n}-1\right)}
(where
Log
{\displaystyle \operatorname {Log} }
is the principal value of the complex logarithm )[ note 4]
1
−
π
2
12
=
lim
n
→
∞
1
n
2
∑
k
=
1
n
(
n
mod
k
)
{\displaystyle 1-{\frac {\pi ^{2}}{12}}=\lim _{n\rightarrow \infty }{\frac {1}{n^{2}}}\sum _{k=1}^{n}(n{\bmod {k}})}
(where
n
mod
k
{\textstyle n{\bmod {k}}}
is the remainder upon division of n by k )
π
=
lim
r
→
∞
1
r
2
∑
x
=
−
r
r
∑
y
=
−
r
r
{
1
if
x
2
+
y
2
≤
r
0
if
x
2
+
y
2
>
r
{\displaystyle \pi =\lim _{r\to \infty }{\frac {1}{r^{2}}}\sum _{x=-r}^{r}\;\sum _{y=-r}^{r}{\begin{cases}1&{\text{if }}{\sqrt {x^{2}+y^{2}}}\leq r\\0&{\text{if }}{\sqrt {x^{2}+y^{2}}}>r\end{cases}}}
(summing a circle's area)
π
=
lim
n
→
∞
4
n
2
∑
k
=
1
n
n
2
−
k
2
{\displaystyle \pi =\lim _{n\rightarrow \infty }{\frac {4}{n^{2}}}\sum _{k=1}^{n}{\sqrt {n^{2}-k^{2}}}}
(Riemann sum to evaluate the area of the unit circle)
π
=
lim
n
→
∞
2
4
n
n
!
4
n
(
2
n
)
!
2
=
lim
n
→
∞
2
4
n
n
(
2
n
n
)
2
=
lim
n
→
∞
1
n
(
(
2
n
)
!
!
(
2
n
−
1
)
!
!
)
2
{\displaystyle \pi =\lim _{n\to \infty }{\frac {2^{4n}n!^{4}}{n(2n)!^{2}}}=\lim _{n\rightarrow \infty }{\frac {2^{4n}}{n{2n \choose n}^{2}}}=\lim _{n\rightarrow \infty }{\frac {1}{n}}\left({\frac {(2n)!!}{(2n-1)!!}}\right)^{2}}
(by combining Stirling's approximation with Wallis product)
π
=
lim
n
→
∞
1
n
ln
16
λ
(
n
i
)
{\displaystyle \pi =\lim _{n\to \infty }{\frac {1}{n}}\ln {\frac {16}{\lambda (ni)}}}
(where
λ
{\displaystyle \lambda }
is the modular lambda function )[ 26] [ note 5]
π
=
lim
n
→
∞
24
n
ln
(
2
1
/
4
G
n
)
=
lim
n
→
∞
24
n
ln
(
2
1
/
4
g
n
)
{\displaystyle \pi =\lim _{n\to \infty }{\frac {24}{\sqrt {n}}}\ln \left(2^{1/4}G_{n}\right)=\lim _{n\to \infty }{\frac {24}{\sqrt {n}}}\ln \left(2^{1/4}g_{n}\right)}
(where
G
n
{\displaystyle G_{n}}
and
g
n
{\displaystyle g_{n}}
are Ramanujan's class invariants )[ 27] [ note 6]
^ The relation
μ
0
=
4
π
⋅
10
−
7
N
/
A
2
{\displaystyle \mu _{0}=4\pi \cdot 10^{-7}\,\mathrm {N} /\mathrm {A} ^{2}}
was valid until the 2019 revision of the SI .
^ (integral form of arctan over its entire domain, giving the period of tan )
^ The coefficients can be obtained by reversing the Puiseux series of
z
↦
z
∑
n
=
0
∞
z
2
n
2
+
2
n
∑
n
=
−
∞
∞
z
2
n
2
{\displaystyle z\mapsto {\sqrt {z}}{\dfrac {\sum _{n=0}^{\infty }z^{2n^{2}+2n}}{\sum _{n=-\infty }^{\infty }z^{2n^{2}}}}}
at
z
=
0
{\displaystyle z=0}
.
^ The
n
{\displaystyle n}
th root with the smallest positive principal argument is chosen.
^ When
n
∈
Q
+
{\displaystyle n\in \mathbb {Q} ^{+}}
, this gives algebraic approximations to Gelfond's constant
e
π
{\displaystyle e^{\pi }}
.
^ When
n
∈
Q
+
{\displaystyle {\sqrt {n}}\in \mathbb {Q} ^{+}}
, this gives algebraic approximations to Gelfond's constant
e
π
{\displaystyle e^{\pi }}
.
^ Galperin, G. (2003). "Playing pool with π (the number π from a billiard point of view)" (PDF) . Regular and Chaotic Dynamics . 8 (4): 375–394. doi :10.1070/RD2003v008n04ABEH000252 .
^ Rudin, Walter (1987). Real and Complex Analysis (Third ed.). McGraw-Hill Book Company. ISBN 0-07-100276-6 . p. 4
^ A000796 – OEIS
^ Carson, B. C. (2010), "Elliptic Integrals" , in Olver, Frank W. J. ; Lozier, Daniel M.; Boisvert, Ronald F.; Clark, Charles W. (eds.), NIST Handbook of Mathematical Functions , Cambridge University Press, ISBN 978-0-521-19225-5 , MR 2723248 .
^ Arndt, Jörg; Haenel, Christoph (2001). π Unleashed . Springer-Verlag Berlin Heidelberg. ISBN 978-3-540-66572-4 . page 126
^ Gourdon, Xavier. "Computation of the n-th decimal digit of π with low memory" (PDF) . Numbers, constants and computation . p. 1.
^ Weisstein, Eric W. "Pi Formulas", MathWorld
^ Chrystal, G. (1900). Algebra, an Elementary Text-book: Part II . p. 335.
^ Eymard, Pierre; Lafon, Jean-Pierre (2004). The Number Pi . American Mathematical Society. ISBN 0-8218-3246-8 . p. 112
^ Cooper, Shaun (2017). Ramanujan's Theta Functions (First ed.). Springer. ISBN 978-3-319-56171-4 . (page 647)
^ Euler, Leonhard (1748). Introductio in analysin infinitorum (in Latin). Vol. 1. p. 245
^ Carl B. Boyer , A History of Mathematics , Chapter 21., pp. 488–489
^ Euler, Leonhard (1748). Introductio in analysin infinitorum (in Latin). Vol. 1. p. 244
^ Wästlund, Johan. "Summing inverse squares by euclidean geometry" (PDF) . The paper gives the formula with a minus sign instead, but these results are equivalent.
^ Simon Plouffe / David Bailey. "The world of Pi" . Pi314.net. Retrieved 2011-01-29 . "Collection of series for π " . Numbers.computation.free.fr. Retrieved 2011-01-29 .
^ A. G. Llorente, Shifting Constants Through Infinite Product Transformations , preprint, 2024.
^ Rudin, Walter (1987). Real and Complex Analysis (Third ed.). McGraw-Hill Book Company. ISBN 0-07-100276-6 . p. 3
^ a b Loya, Paul (2017). Amazing and Aesthetic Aspects of Analysis . Springer. p. 589. ISBN 978-1-4939-6793-3 .
^ Perron, Oskar (1957). Die Lehre von den Kettenbrüchen: Band II (in German) (Third ed.). B. G. Teubner. p. 36, eq. 24
^ Vellucci, Pierluigi; Bersani, Alberto Maria (2019-12-01). "$$\pi $$-Formulas and Gray code" . Ricerche di Matematica . 68 (2): 551–569. arXiv :1606.09597 . doi :10.1007/s11587-018-0426-4 . ISSN 1827-3491 . S2CID 119578297 .
^ Abrarov, Sanjar M.; Siddiqui, Rehan; Jagpal, Rajinder K.; Quine, Brendan M. (2021-09-04). "Algorithmic Determination of a Large Integer in the Two-Term Machin-like Formula for π" . Mathematics . 9 (17): 2162. arXiv :2107.01027 . doi :10.3390/math9172162 .
^ Arndt, Jörg; Haenel, Christoph (2001). π Unleashed . Springer-Verlag Berlin Heidelberg. ISBN 978-3-540-66572-4 . page 49
^ Eymard, Pierre; Lafon, Jean-Pierre (2004). The Number Pi . American Mathematical Society. ISBN 0-8218-3246-8 . p. 2
^ Borwein, Jonathan M.; Borwein, Peter B. (1987). Pi and the AGM: A Study in Analytic Number Theory and Computational Complexity (First ed.). Wiley-Interscience. ISBN 0-471-83138-7 . page 225
^ Gilmore, Tomack. "The Arithmetic-Geometric Mean of Gauss" (PDF) . Universität Wien . p. 13.
^ Borwein, J.; Borwein, P. (2000). "Ramanujan and Pi" . Pi: A Source Book . Springer Link. pp. 588–595. doi :10.1007/978-1-4757-3240-5_62 . ISBN 978-1-4757-3242-9 .
^ Eymard, Pierre; Lafon, Jean-Pierre (2004). The Number Pi . American Mathematical Society. ISBN 0-8218-3246-8 . p. 248
Borwein, Peter (2000). "The amazing number π " (PDF) . Nieuw Archief voor Wiskunde . 5th series. 1 (3): 254–258. Zbl 1173.01300 .
Kazuya Kato, Nobushige Kurokawa, Saito Takeshi: Number Theory 1: Fermat's Dream . American Mathematical Society, Providence 1993, ISBN 0-8218-0863-X .