For every
x
∈
R
{\displaystyle {}x\in \mathbb {R} }
,
the
series
∑
n
=
0
∞
x
n
n
!
{\displaystyle \sum _{n=0}^{\infty }{\frac {x^{n}}{n!}}}
is called the
exponential series in
x
{\displaystyle {}x}
.
So this is just the series
1
+
x
+
x
2
2
+
x
3
6
+
x
4
24
+
x
5
120
+
…
.
{\displaystyle 1+x+{\frac {x^{2}}{2}}+{\frac {x^{3}}{6}}+{\frac {x^{4}}{24}}+{\frac {x^{5}}{120}}+\ldots .}
For every
x
∈
R
{\displaystyle {}x\in \mathbb {R} }
,
the
exponential series
∑
n
=
0
∞
x
n
n
!
{\displaystyle \sum _{n=0}^{\infty }{\frac {x^{n}}{n!}}}
is
absolutely convergent .
◻
{\displaystyle \Box }
Due to this property, we can define the real exponential function.
The graph of the real exponential function
The
function
R
⟶
R
,
x
⟼
exp
x
:=
∑
n
=
0
∞
x
n
n
!
,
{\displaystyle \mathbb {R} \longrightarrow \mathbb {R} ,x\longmapsto \exp x:=\sum _{n=0}^{\infty }{\frac {x^{n}}{n!}},}
is called the (real)
exponential function .
The following statement is called the functional equation for the exponential function .
For
real numbers
x
,
y
∈
R
{\displaystyle {}x,y\in \mathbb {R} }
, the equation
exp
(
x
+
y
)
=
exp
x
⋅
exp
y
{\displaystyle {}\exp {\left(x+y\right)}=\exp x\cdot \exp y\,}
holds.
The
Cauchy product
of the two exponential series is
∑
n
=
0
∞
c
n
,
{\displaystyle \sum _{n=0}^{\infty }c_{n},}
where
c
n
=
∑
i
=
0
n
x
i
i
!
⋅
y
n
−
i
(
n
−
i
)
!
.
{\displaystyle {}c_{n}=\sum _{i=0}^{n}{\frac {x^{i}}{i!}}\cdot {\frac {y^{n-i}}{(n-i)!}}\,.}
This series is due to
fact
absolutely convergent
and the
limit
is the product of the two limits. Furthermore, the
n
{\displaystyle {}n}
-th summand of the exponential series of
x
+
y
{\displaystyle {}x+y}
equals
(
x
+
y
)
n
n
!
=
1
n
!
∑
i
=
0
n
(
n
i
)
x
i
y
n
−
i
=
c
n
,
{\displaystyle {}{\frac {(x+y)^{n}}{n!}}={\frac {1}{n!}}\sum _{i=0}^{n}{\binom {n}{i}}x^{i}y^{n-i}=c_{n}\,,}
so that both sides coincide.
◻
{\displaystyle \Box }
(1) follows directly from the definition.
(2) follows from
exp
x
⋅
exp
(
−
x
)
=
exp
(
x
−
x
)
=
exp
0
=
1
{\displaystyle {}\exp x\cdot \exp {\left(-x\right)}=\exp {\left(x-x\right)}=\exp 0=1\,}
using
fact .
(3) follows for
n
∈
N
{\displaystyle {}n\in \mathbb {N} }
from
fact
by induction, and from that it follows with the help of (2) also for negative
n
{\displaystyle {}n}
.
(4). Nonnegativity follows from
exp
x
=
exp
(
x
2
+
x
2
)
=
exp
x
2
⋅
exp
x
2
=
(
exp
x
2
)
2
≥
0
.
{\displaystyle {}\exp x=\exp {\left({\frac {x}{2}}+{\frac {x}{2}}\right)}=\exp {\frac {x}{2}}\cdot \exp {\frac {x}{2}}={\left(\exp {\frac {x}{2}}\right)}^{2}\geq 0\,.}
(5). For real
x
{\displaystyle {}x}
we have
exp
x
⋅
exp
(
−
x
)
=
1
{\displaystyle {}\exp x\cdot \exp {\left(-x\right)}=1}
,
so that because of (4), one factor must be
≥
1
{\displaystyle {}\geq 1}
and the other factor must be
≤
1
{\displaystyle {}\leq 1}
. For
x
>
0
{\displaystyle {}x>0}
,
we have
exp
x
=
∑
n
=
0
∞
1
n
!
x
n
=
1
+
x
+
1
2
x
2
+
…
>
1
{\displaystyle {}\exp x=\sum _{n=0}^{\infty }{\frac {1}{n!}}x^{n}=1+x+{\frac {1}{2}}x^{2}+\ldots >1\,}
as only positive numbers are added.
(6). For real
y
>
x
{\displaystyle {}y>x}
,
we have
y
−
x
>
0
{\displaystyle {}y-x>0}
,
and therefore, because of (5)
exp
(
y
−
x
)
>
1
{\displaystyle {}\exp {\left(y-x\right)}>1}
,
hence
exp
y
=
exp
(
y
−
x
+
x
)
=
exp
(
y
−
x
)
⋅
exp
x
>
exp
x
.
{\displaystyle {}\exp y=\exp {\left(y-x+x\right)}=\exp {\left(y-x\right)}\cdot \exp x>\exp x\,.}
◻
{\displaystyle \Box }