Function graph of in the range between 0 and 10
left
(
x
)
{\ displaystyle \ operatorname {li} (x)}
The logarithmic integral is an analytic function on the real numbers (or ) into the real numbers. It is of practical relevance in some areas of physics such as quantum field theory and in solving the Laplace equation in semiconductors, as well as in number theory , as it is closely linked to the density of prime numbers .
x
≥
0
,
x
≠
1
{\ displaystyle x \ geq 0, \; x \ neq 1}
x
>
1
{\ displaystyle x> 1}
definition
There are two common definitions that differ by a constant. For one of the most important applications - as an asymptotic comparison variable for the prime number function in the prime number theorem - the difference between the two definitions does not matter.
One definition in the field is
x
≥
0
{\ displaystyle x \ geq 0}
left
(
x
)
=
∫
0
x
d
t
ln
t
,
{\ displaystyle \ operatorname {li} (x) = \ int _ {0} ^ {x} {\ frac {\ mathrm {d} t} {\ ln t}} \,}
it must because of the singularity in for a limit to be defined ( Cauchy principal value ):
left
{\ displaystyle \ operatorname {li}}
x
=
1
{\ displaystyle x = 1}
x
>
1
{\ displaystyle x> 1}
left
(
x
)
=
lim
ε
→
0
+
(
∫
0
1
-
ε
d
t
ln
t
+
∫
1
+
ε
x
d
t
ln
t
)
.
{\ displaystyle \ operatorname {li} (x) = \ lim _ {\ varepsilon \ to 0 ^ {+}} \ left (\ int _ {0} ^ {1- \ varepsilon} {\ frac {\ mathrm {d } t} {\ ln t}} + \ int _ {1+ \ varepsilon} ^ {x} {\ frac {\ mathrm {d} t} {\ ln t}} \ right) \.}
Another definition for is
x
>
1
{\ displaystyle x> 1}
Li
(
x
)
=
left
(
x
)
-
left
(
2
)
=
∫
2
x
d
t
ln
t
.
{\ displaystyle \ operatorname {Li} (x) = \ operatorname {li} (x) - \ operatorname {li} (2) = \ int _ {2} ^ {x} {\ frac {\ mathrm {d} t } {\ ln t}} \.}
There is no pole at , but a logarithmic singularity .
x
=
1
{\ displaystyle x = 1}
properties
Function graph of in the range between 0 and 2 (includes 0, 1, µ and 2)
left
(
x
)
{\ displaystyle \ operatorname {li} (x)}
Some values:
left
(
0
)
=
0
{\ displaystyle \ operatorname {li} (0) = 0}
left
(
1
)
=
-
∞
{\ displaystyle \ operatorname {li} (1) = - \ infty}
left
(
μ
)
=
0
{\ displaystyle \ operatorname {li} (\ mu) = 0}
left
(
2
)
=
1.045
16
37801
17492
78484
...
{\ displaystyle \ operatorname {li} (2) = 1 {,} 04516 \; 37801 \; 17492 \; 78484 \ ldots}
(Follow A069284 in OEIS )
Here (sequence A070769 in OEIS ) is the Ramanujan-Soldner constant .
μ
=
1.451
36
92348
83381
05028
...
{\ displaystyle \ mu = 1 {,} 45136 \; 92348 \; 83381 \; 05028 \ ldots}
It applies with the integral exponential function , from which one obtains the series representation
left
(
x
)
=
egg
(
ln
x
)
{\ displaystyle \ operatorname {li} (x) = \ operatorname {Ei} (\ ln x)}
egg
{\ displaystyle \ operatorname {egg}}
left
(
x
)
=
γ
+
ln
|
ln
x
|
+
∑
k
=
1
∞
(
ln
x
)
k
k
⋅
k
!
,
{\ displaystyle \ operatorname {li} (x) = \ gamma + \ ln \ left | \ ln x \ right | + \ sum _ {k = 1} ^ {\ infty} {\ frac {(\ ln x) ^ {k}} {k \ cdot k!}} \,}
where (sequence A001620 in OEIS ) is the Euler-Mascheroni constant .
γ
=
0.577
21st
56649
01532
86060
...
{\ displaystyle \ gamma = 0 {,} 57721 \; 56649 \; 01532 \; 86060 \ ldots}
From the definition of , one obtains through linear substitution
left
{\ displaystyle \ operatorname {li}}
left
(
x
)
=
x
∫
0
1
d
t
ln
(
x
t
)
,
{\ displaystyle \ operatorname {li} (x) = x \ int _ {0} ^ {1} {\ frac {\ mathrm {d} t} {\ ln (x \, t)}} \,}
where for, because of the singularity, Cauchy's principal value must be used.
We also have for
x
>
1
{\ displaystyle x> 1}
t
=
1
/
x
{\ displaystyle t = 1 / x}
x
≥
0
,
x
≠
1
{\ displaystyle x \ geq 0, x \ neq 1}
∫
0
x
left
(
t
)
d
t
=
x
left
(
x
)
-
left
(
x
2
)
.
{\ displaystyle \ int _ {0} ^ {x} \ operatorname {li} (t) \, {\ mathrm {d} t} = x \, \ operatorname {li} (x) - \ operatorname {li} ( x ^ {2}).}
Also applies to
p
>
-
1
,
p
≠
0
{\ displaystyle p> -1, p \ not = 0}
∫
0
1
left
(
t
)
t
p
-
1
d
t
=
-
1
p
ln
(
p
+
1
)
,
{\ displaystyle \ int _ {0} ^ {1} \ operatorname {li} (t) \, t ^ {p-1} \, \ mathrm {d} t = - {\ tfrac {1} {p}} \ ln (p + 1),}
for one obtains
In the limiting case is
p
=
1
{\ displaystyle p = 1}
∫
0
1
left
(
t
)
d
t
=
-
ln
2.
{\ displaystyle \ textstyle \ int _ {0} ^ {1} \ operatorname {li} (t) \, \ mathrm {d} t = - \ ln 2.}
p
=
0
{\ displaystyle p = 0}
∫
0
1
left
(
t
)
t
-
1
d
t
=
-
1.
{\ displaystyle \ textstyle \ int _ {0} ^ {1} \ operatorname {li} (t) \, t ^ {- 1} \, \ mathrm {d} t = -1.}
Another formula is
∫
0
1
left
(
t
-
1
)
t
d
t
=
∫
1
∞
left
(
t
)
t
-
3
d
t
=
0.
{\ displaystyle \ textstyle \ int _ {0} ^ {1} \ operatorname {li} (t ^ {- 1}) \, t \, \ mathrm {d} t = \ textstyle \ int _ {1} ^ { \ infty} \ operatorname {li} (t) \, t ^ {- 3} \, \ mathrm {d} t = 0.}
The Golomb-Dickman constant (sequence A084945 in OEIS ) occurs in the theory of random permutations when estimating the length of the longest cycle of a permutation and in number theory when estimating the size of the largest prime factor of a number.
λ
=
∫
0
1
e
left
(
x
)
d
x
=
0.624
32
99885
43550
87099
...
{\ displaystyle \ lambda = \ textstyle \ int _ {0} ^ {1} \ mathrm {e} ^ {\ operatorname {li} (x)} \ mathrm {d} x = 0 {,} 62432 \; 99885 \ ; 43550 \; 87099 \ ldots}
Asymptotic behavior
Function graph of in the range between 1 and 10
13
left
(
x
)
{\ displaystyle \ operatorname {li} (x)}
For big ones it can
x
{\ displaystyle x}
left
(
x
)
{\ displaystyle \ operatorname {li} (x)}
left
(
x
)
=
0
!
x
ln
x
+
1
!
x
ln
2
x
+
2
!
x
ln
3
x
+
3
!
x
ln
4th
x
+
⋯
{\ displaystyle \ operatorname {li} (x) = 0! \, {\ frac {x} {\ ln x}} + 1! \, {\ frac {x} {\ ln ^ {2} x}} + 2! \, {\ Frac {x} {\ ln ^ {3} x}} + 3! \, {\ Frac {x} {\ ln ^ {4} x}} + \ dotsb}
approximate . The series is an asymptotic development ; it does not converge , but rather approaches the true value and then moves away again. The best approximation is achieved after roughly terms, then the summands become larger due to the increasing effect of the factorial .
ln
x
{\ displaystyle \ ln x}
See also
literature
Web links
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