2的自然对数
2的自然对数 2的自然对数 種類 無理數 符號
ln
-->
2
{\displaystyle \ln {2}}
連分數 [0; 1, 2, 3, 1, 6, 3, 1, 1, 2, 1, 1, 1, 1, 3, 10] (OEIS 數列A016730 )
0
+
1
1
+
1
2
+
1
3
+
1
1
+
1
6
+
⋱ ⋱ -->
{\displaystyle 0+{\cfrac {1}{1+{\cfrac {1}{2+{\cfrac {1}{3+{\cfrac {1}{1+{\cfrac {1}{6+\ddots }}}}}}}}}}}
以此為根 的多項式或函數
e
x
− − -->
2
=
0
{\displaystyle e^{x}-2=0}
[ 1] 值
ln
-->
2
≈ ≈ -->
{\displaystyle \ln {2}\approx }
0.693147180...二进制 0.10110001 0111 0010 0001 0111 … 十进制 0.69314718 0559 9453 0941 7232 … 十六进制 0.B17217F7 D1CF 79AB C9E3 B398 …
ln 2 (OEIS 數列A002162 )约为:
ln
-->
2
≈ ≈ -->
0.693147
{\displaystyle \ln 2\approx 0.693147}
使用对数公式
log
b
-->
2
=
ln
-->
2
ln
-->
b
.
{\displaystyle \log _{b}2={\frac {\ln 2}{\ln b}}.}
可以求出log2,它约为:(OEIS 數列A007524 )
log
10
-->
2
≈ ≈ -->
0.301029995663981195
{\displaystyle \log _{10}2\approx 0.301029995663981195}
。
數學家理查德·施羅培爾 在1972年證明,不尋常數 的自然密度 等於
ln
-->
2
{\displaystyle \ln 2}
。換言之,若
u
(
n
)
{\displaystyle u(n)}
表示不大於
n
{\displaystyle n}
的自然數之中,有多少個數
a
{\displaystyle a}
具有大於
a
{\displaystyle {\sqrt {a}}}
的質因數,則有:
lim
n
→ → -->
∞ ∞ -->
u
(
n
)
n
=
ln
-->
(
2
)
=
0.693147
… … -->
.
{\displaystyle \lim _{n\rightarrow \infty }{\frac {u(n)}{n}}=\ln(2)=0.693147\dots \,.}
公式
∑ ∑ -->
n
=
1
∞ ∞ -->
(
− − -->
1
)
n
+
1
n
=
∑ ∑ -->
n
=
0
∞ ∞ -->
1
(
2
n
+
1
)
(
2
n
+
2
)
=
ln
-->
2.
{\displaystyle \sum _{n=1}^{\infty }{\frac {(-1)^{n+1}}{n}}=\sum _{n=0}^{\infty }{\frac {1}{(2n+1)(2n+2)}}=\ln 2.}
∑ ∑ -->
n
=
1
∞ ∞ -->
(
− − -->
1
)
n
(
n
+
1
)
(
n
+
2
)
=
2
ln
-->
2
− − -->
1.
{\displaystyle \sum _{n=1}^{\infty }{\frac {(-1)^{n}}{(n+1)(n+2)}}=2\ln 2-1.}
∑ ∑ -->
n
=
1
∞ ∞ -->
1
n
(
4
n
2
− − -->
1
)
=
2
ln
-->
2
− − -->
1.
{\displaystyle \sum _{n=1}^{\infty }{\frac {1}{n(4n^{2}-1)}}=2\ln 2-1.}
∑ ∑ -->
n
=
1
∞ ∞ -->
(
− − -->
1
)
n
n
(
4
n
2
− − -->
1
)
=
ln
-->
2
− − -->
1.
{\displaystyle \sum _{n=1}^{\infty }{\frac {(-1)^{n}}{n(4n^{2}-1)}}=\ln 2-1.}
∑ ∑ -->
n
=
1
∞ ∞ -->
(
− − -->
1
)
n
n
(
9
n
2
− − -->
1
)
=
2
ln
-->
2
− − -->
3
2
.
{\displaystyle \sum _{n=1}^{\infty }{\frac {(-1)^{n}}{n(9n^{2}-1)}}=2\ln 2-{\frac {3}{2}}.}
∑ ∑ -->
n
=
2
∞ ∞ -->
1
2
n
[
ζ ζ -->
(
n
)
− − -->
1
]
=
ln
-->
2
− − -->
1
2
.
{\displaystyle \sum _{n=2}^{\infty }{\frac {1}{2^{n}}}[\zeta (n)-1]=\ln 2-{\frac {1}{2}}.}
∑ ∑ -->
n
=
1
∞ ∞ -->
1
2
n
+
1
[
ζ ζ -->
(
n
)
− − -->
1
]
=
1
− − -->
γ γ -->
− − -->
1
2
ln
-->
2.
{\displaystyle \sum _{n=1}^{\infty }{\frac {1}{2n+1}}[\zeta (n)-1]=1-\gamma -{\frac {1}{2}}\ln 2.}
∑ ∑ -->
n
=
1
∞ ∞ -->
1
2
2
n
(
2
n
+
1
)
ζ ζ -->
(
2
n
)
=
1
2
(
1
− − -->
ln
-->
2
)
.
{\displaystyle \sum _{n=1}^{\infty }{\frac {1}{2^{2n}(2n+1)}}\zeta (2n)={\frac {1}{2}}(1-\ln 2).}
γ γ -->
{\displaystyle \gamma }
是欧拉-马歇罗尼常数 ,
ζ ζ -->
{\displaystyle \zeta }
是黎曼ζ函數 。
ln
-->
2
=
∑ ∑ -->
k
≥ ≥ -->
1
1
k
2
k
.
{\displaystyle \ln 2=\sum _{k\geq 1}{\frac {1}{k2^{k}}}.}
[ 2] :31
ln
-->
2
=
∑ ∑ -->
k
≥ ≥ -->
1
(
1
3
k
+
1
4
k
)
1
k
.
{\displaystyle \ln 2=\sum _{k\geq 1}\left({\frac {1}{3^{k}}}+{\frac {1}{4^{k}}}\right){\frac {1}{k}}.}
ln
-->
2
=
2
3
+
∑ ∑ -->
k
≥ ≥ -->
1
(
1
2
k
+
1
4
k
+
1
+
1
8
k
+
4
+
1
16
k
+
12
)
1
16
k
.
{\displaystyle \ln 2={\frac {2}{3}}+\sum _{k\geq 1}\left({\frac {1}{2k}}+{\frac {1}{4k+1}}+{\frac {1}{8k+4}}+{\frac {1}{16k+12}}\right){\frac {1}{16^{k}}}.}
(贝利-波尔温-普劳夫公式 )
ln
-->
2
=
2
3
∑ ∑ -->
k
≥ ≥ -->
0
1
(
2
k
+
1
)
9
k
.
{\displaystyle \ln 2={\frac {2}{3}}\sum _{k\geq 0}{\frac {1}{(2k+1)9^{k}}}.}
(基於反雙曲函數 ,可參見計算自然對數的級數 。)
积分公式
∫ ∫ -->
0
1
d
x
1
+
x
=
ln
-->
2
{\displaystyle \int _{0}^{1}{\frac {dx}{1+x}}=\ln 2}
∫ ∫ -->
1
∞ ∞ -->
d
x
(
1
+
x
2
)
(
1
+
x
)
2
=
1
4
(
1
− − -->
ln
-->
2
)
{\displaystyle \int _{1}^{\infty }{\frac {dx}{(1+x^{2})(1+x)^{2}}}={\frac {1}{4}}(1-\ln 2)}
∫ ∫ -->
0
∞ ∞ -->
d
x
1
+
e
n
x
=
1
n
ln
-->
2
;
∫ ∫ -->
0
∞ ∞ -->
d
x
3
+
e
n
x
=
2
3
n
ln
-->
2
{\displaystyle \int _{0}^{\infty }{\frac {dx}{1+e^{nx}}}={\frac {1}{n}}\ln 2;\int _{0}^{\infty }{\frac {dx}{3+e^{nx}}}={\frac {2}{3n}}\ln 2}
∫ ∫ -->
0
∞ ∞ -->
(
1
e
x
− − -->
1
− − -->
2
e
2
x
− − -->
1
)
=
ln
-->
2
{\displaystyle \int _{0}^{\infty }\left({\frac {1}{e^{x}-1}}-{\frac {2}{e^{2x}-1}}\right)=\ln 2}
∫ ∫ -->
0
∞ ∞ -->
e
− − -->
x
1
− − -->
e
− − -->
x
x
d
x
=
ln
-->
2
{\displaystyle \int _{0}^{\infty }e^{-x}{\frac {1-e^{-x}}{x}}dx=\ln 2}
∫ ∫ -->
0
1
ln
-->
x
2
− − -->
1
x
ln
-->
x
d
x
=
− − -->
1
+
ln
-->
2
+
γ γ -->
{\displaystyle \int _{0}^{1}\ln {\frac {x^{2}-1}{x\ln x}}dx=-1+\ln 2+\gamma }
∫ ∫ -->
0
π π -->
3
tan
-->
x
d
x
=
2
∫ ∫ -->
0
π π -->
4
tan
-->
x
d
x
=
ln
-->
2
{\displaystyle \int _{0}^{\frac {\pi }{3}}\tan xdx=2\int _{0}^{\frac {\pi }{4}}\tan xdx=\ln 2}
∫ ∫ -->
− − -->
π π -->
4
π π -->
4
ln
-->
(
sin
-->
x
+
cos
-->
x
)
d
x
=
− − -->
π π -->
4
ln
-->
2
{\displaystyle \int _{-{\frac {\pi }{4}}}^{\frac {\pi }{4}}\ln(\sin x+\cos x)dx=-{\frac {\pi }{4}}\ln 2}
∫ ∫ -->
0
1
x
2
ln
-->
(
1
+
x
)
d
x
=
2
3
ln
-->
2
− − -->
5
18
{\displaystyle \int _{0}^{1}x^{2}\ln(1+x)dx={\frac {2}{3}}\ln 2-{\frac {5}{18}}}
∫ ∫ -->
0
1
x
ln
-->
(
1
+
x
)
ln
-->
(
1
− − -->
x
)
d
x
=
1
4
− − -->
ln
-->
2
{\displaystyle \int _{0}^{1}x\ln(1+x)\ln(1-x)dx={\frac {1}{4}}-\ln 2}
∫ ∫ -->
0
1
x
3
ln
-->
(
1
+
x
)
ln
-->
(
1
− − -->
x
)
d
x
=
13
96
− − -->
2
3
ln
-->
2
{\displaystyle \int _{0}^{1}x^{3}\ln(1+x)\ln(1-x)dx={\frac {13}{96}}-{\frac {2}{3}}\ln 2}
∫ ∫ -->
0
1
ln
-->
x
(
1
+
x
)
2
d
x
=
− − -->
ln
-->
2
{\displaystyle \int _{0}^{1}{\frac {\ln x}{(1+x)^{2}}}dx=-\ln 2}
∫ ∫ -->
0
1
ln
-->
(
1
+
x
)
− − -->
x
x
2
d
x
=
1
− − -->
2
ln
-->
2
{\displaystyle \int _{0}^{1}{\frac {\ln(1+x)-x}{x^{2}}}dx=1-2\ln 2}
∫ ∫ -->
0
1
d
x
x
(
1
− − -->
ln
-->
x
)
(
1
− − -->
2
ln
-->
x
)
=
ln
-->
2
{\displaystyle \int _{0}^{1}{\frac {dx}{x(1-\ln x)(1-2\ln x)}}=\ln 2}
∫ ∫ -->
1
∞ ∞ -->
ln
-->
ln
-->
x
x
3
d
x
=
− − -->
1
2
(
γ γ -->
+
ln
-->
2
)
{\displaystyle \int _{1}^{\infty }{\frac {\ln \ln x}{x^{3}}}dx=-{\frac {1}{2}}(\gamma +\ln 2)}
γ γ -->
{\displaystyle \gamma }
是欧拉-马歇罗尼常数 。
其他公式
用皮尔斯展开式(A091846 )表达ln2:
log
-->
2
=
1
1
− − -->
1
1
⋅ ⋅ -->
3
+
1
1
⋅ ⋅ -->
3
⋅ ⋅ -->
12
− − -->
… … -->
{\displaystyle \log 2={\frac {1}{1}}-{\frac {1}{1\cdot 3}}+{\frac {1}{1\cdot 3\cdot 12}}-\ldots }
.
用恩格尔展开式 A059180 表达ln2:
log
-->
2
=
1
2
+
1
2
⋅ ⋅ -->
3
+
1
2
⋅ ⋅ -->
3
⋅ ⋅ -->
7
+
1
2
⋅ ⋅ -->
3
⋅ ⋅ -->
7
⋅ ⋅ -->
9
+
… … -->
{\displaystyle \log 2={\frac {1}{2}}+{\frac {1}{2\cdot 3}}+{\frac {1}{2\cdot 3\cdot 7}}+{\frac {1}{2\cdot 3\cdot 7\cdot 9}}+\ldots }
.
用余切展开式A081785 表达ln2:
log
-->
2
=
cot
-->
(
arccot
-->
0
− − -->
arccot
-->
1
+
arccot
-->
5
− − -->
arccot
-->
55
+
arccot
-->
14187
− − -->
… … -->
)
{\displaystyle \log 2=\cot(\operatorname {arccot} 0-\operatorname {arccot} 1+\operatorname {arccot} 5-\operatorname {arccot} 55+\operatorname {arccot} 14187-\ldots )}
.
其他對數
範例
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10的自然對數
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參考文獻
Brent, Richard P. Fast multiple-precision evaluation of elementary functions. J. ACM. 1976, 23 (2): 242–251. doi:10.1145/321941.321944 . MR 0395314 .
Uhler, Horace S. Recalculation and extension of the modulus and of the logarithms of 2, 3, 5, 7 and 17. Proc. Nat. Acac. Sci. U. S. A. 1940, 26 : 205–212. MR 0001523 .
Sweeney, Dura W. On the computation of Euler's constant. Mathematics of Computation. 1963, 17 . MR 0160308 .
Chamberland, Marc. Binary BBP-formulae for logarithms and generalized Gaussian-Mersenne primes (PDF) . Journal of Integer Sequences. 2003, 6 : 03.3.7 [2011-01-08 ] . MR 2046407 . (原始内容 (PDF) 存档于2011-06-06).
Gourévitch, Boris; Guillera Goyanes, Jesus. Construction of binomial sums for π and polylogarithmic constants inspired by BBP formulas (PDF) . Applied Math. E-Notes. 2007, 7 : 237–246 [2011-01-08 ] . MR 2346048 . (原始内容存档 (PDF) 于2020-02-06).
Wu, Qiang. On the linear independence measure of logarithms of rational numbers . Mathematics of Computation. 2003, 72 (242): 901–911. doi:10.1090/S0025-5718-02-01442-4 .
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