 Natural logarithm

"Base e" redirects here. For the numbering system which uses e as its base, see Noninteger representation#Base e.
The natural logarithm is the logarithm to the base e, where e is an irrational and transcendental constant approximately equal to 2.718281828. The natural logarithm is generally written as ln(x), log_{e}(x) or sometimes, if the base of e is implicit, as simply log(x).^{[1]}
The natural logarithm of a number x is the power to which e would have to be raised to equal x. For example, ln(7.389...) is 2, because e^{2}=7.389.... The natural log of e itself (ln(e)) is 1 because e^{1} = e, while the natural logarithm of 1 (ln(1)) is 0, since e^{0} = 1.
The natural logarithm can be defined for any positive real number a as the area under the curve y = 1/x from 1 to a. The simplicity of this definition, which is matched in many other formulas involving the natural logarithm, leads to the term "natural." The definition can be extended to nonzero complex numbers, as explained below.
The natural logarithm function, if considered as a realvalued function of a real variable, is the inverse function of the exponential function, leading to the identities:
Like all logarithms, the natural logarithm maps multiplication into addition:
Thus, the logarithm function is an isomorphism from the group of positive real numbers under multiplication to the group of real numbers under addition, represented as a function:
Logarithms can be defined to any positive base other than 1, not just e; however logarithms in other bases differ only by a constant multiplier from the natural logarithm, and are usually defined in terms of the latter. Logarithms are useful for solving equations in which the unknown appears as the exponent of some other quantity. For example, logarithms are used to solve for the halflife, decay constant, or unknown time in exponential decay problems. They are important in many branches of mathematics and the sciences and are used in finance to solve problems involving compound interest.
Part of a series of articles on
The mathematical constant eNatural logarithm · Exponential function
Applications in: compound interest · Euler's identity & Euler's formula · halflives & exponential growth/decay
Defining e: proof that e is irrational · representations of e · Lindemann–Weierstrass theorem
People John Napier · Leonhard Euler
Contents
History
The first mention of the natural logarithm was by Nicholas Mercator in his work Logarithmotechnia published in 1668,^{[2]} although the mathematics teacher John Speidell had already in 1619 compiled a table on the natural logarithm.^{[3]} It was formerly also called hyperbolic logarithm,^{[4]} as it corresponds to the area under a hyperbola. It is also sometimes referred to as the Napierian logarithm, although the original meaning of this term is slightly different.
Notational conventions
Mathematicians, statisticians, and some engineers generally understand either "log(x)" or "ln(x)" to mean log_{e}(x), i.e., the natural logarithm of x, and write "log_{10}(x)" if the base 10 logarithm of x is intended.
Some engineers, biologists, and some others generally write "ln(x)" (or occasionally "log_{e}(x)") when they mean the natural logarithm of x, and take "log(x)" to mean log_{10}(x).
In most commonlyused programming languages, including C, C++, SAS, MATLAB, Fortran, and BASIC, "log" or "LOG" refers to the natural logarithm.
In handheld calculators, the natural logarithm is denoted ln, whereas log is the base 10 logarithm.
In theoretical computer science, information theory, and cryptography "log(x)" generally means "log_{2}(x)" (although this is often written as lg(x) instead).
Origin of the term natural logarithm
Initially, it might seem that since our numbering system is base 10, this base would be more "natural" than base e. But mathematically, the number 10 is not particularly significant. Its use culturally—as the basis for many societies’ numbering systems—likely arises from humans’ typical number of fingers.^{[5]} Other cultures have based their counting systems on such choices as 5, 8, 12, 20, and 60.^{[6]}^{[7]}^{[8]}
log_{e} is a "natural" log because it automatically springs from, and appears so often in, mathematics. For example, consider the problem of differentiating a logarithmic function:^{[9]}
If the base b equals e, then the derivative is simply 1/x, and at x = 1 this derivative equals 1. Another sense in which the baseelogarithm is the most natural is that it can be defined quite easily in terms of a simple integral or Taylor series and this is not true of other logarithms.
Further senses of this naturalness make no use of calculus. As an example, there are a number of simple series involving the natural logarithm. Pietro Mengoli and Nicholas Mercator called it logarithmus naturalis a few decades before Newton and Leibniz developed calculus.^{[10]}
Definitions
Formally, ln(a) may be defined as the area under the graph of 1/x from 1 to a, that is as the integral,
This defines a logarithm because it satisfies the fundamental property of a logarithm:
This can be demonstrated by letting as follows:
The number e can then be defined as the unique real number a such that ln(a) = 1.
Alternatively, if the exponential function has been defined first using an infinite series, the natural logarithm may be defined as its inverse function, i.e., ln is that function such that . Since the range of the exponential function on real arguments is all positive real numbers and since the exponential function is strictly increasing, this is welldefined for all positive x.
Properties

 (see complex logarithm)
Derivative, Taylor series
The derivative of the natural logarithm is given by
This leads to the Taylor series for around 0; also known as the Mercator series
At right is a picture of ln(1 + x) and some of its Taylor polynomials around 0. These approximations converge to the function only in the region −1 < x ≤ 1; outside of this region the higherdegree Taylor polynomials are worse approximations for the function.
Substituting x − 1 for x, we obtain an alternative form for ln(x) itself, namely
 ^{[11]}
By using the Euler transform on the Mercator series, one obtains the following, which is valid for any x with absolute value greater than 1:
This series is similar to a BBPtype formula.
Also note that is its own inverse function, so to yield the natural logarithm of a certain number y, simply put in for x.
The natural logarithm in integration
The natural logarithm allows simple integration of functions of the form g(x) = f '(x)/f(x): an antiderivative of g(x) is given by ln(f(x)). This is the case because of the chain rule and the following fact:
In other words,
and
Here is an example in the case of g(x) = tan(x):
Letting f(x) = cos(x) and f'(x)= – sin(x):
where C is an arbitrary constant of integration.
The natural logarithm can be integrated using integration by parts:
Numerical value
To calculate the numerical value of the natural logarithm of a number, the Taylor series expansion can be rewritten as:
To obtain a better rate of convergence, the following identity can be used.
 provided that y = (x−1)/(x+1) and x > 0.
For ln(x) where x > 1, the closer the value of x is to 1, the faster the rate of convergence. The identities associated with the logarithm can be leveraged to exploit this:
Such techniques were used before calculators, by referring to numerical tables and performing manipulations such as those above.
High precision
To compute the natural logarithm with many digits of precision, the Taylor series approach is not efficient since the convergence is slow. An alternative is to use Newton's method to invert the exponential function, whose series converges more quickly.
An alternative for extremely high precision calculation is the formula ^{[12]} ^{[13]}
where M denotes the arithmeticgeometric mean of 1 and 4/s, and
with m chosen so that p bits of precision is attained. (For most purposes, the value of 8 for m is sufficient.) In fact, if this method is used, Newton inversion of the natural logarithm may conversely be used to calculate the exponential function efficiently. (The constants ln 2 and π can be precomputed to the desired precision using any of several known quickly converging series.)
Computational complexity
Main article: Computational complexity of mathematical operationsThe computational complexity of computing the natural logarithm (using the arithmeticgeometric mean) is O(M(n) ln n). Here n is the number of digits of precision at which the natural logarithm is to be evaluated and M(n) is the computational complexity of multiplying two ndigit numbers.
Continued fractions
While no simple continued fractions are available, several generalized continued fractions are, including:
Complex logarithms
Main article: Complex logarithmThe exponential function can be extended to a function which gives a complex number as e^{x} for any arbitrary complex number x; simply use the infinite series with x complex. This exponential function can be inverted to form a complex logarithm that exhibits most of the properties of the ordinary logarithm. There are two difficulties involved: no x has e^{x} = 0; and it turns out that e^{2πi} = 1 = e^{0}. Since the multiplicative property still works for the complex exponential function, e^{z} = e^{z+2nπi}, for all complex z and integers n.
So the logarithm cannot be defined for the whole complex plane, and even then it is multivalued – any complex logarithm can be changed into an "equivalent" logarithm by adding any integer multiple of 2πi at will. The complex logarithm can only be singlevalued on the cut plane. For example, ln i = 1/2 πi or 5/2 πi or −3/2 πi, etc.; and although i^{4} = 1, 4 log i can be defined as 2πi, or 10πi or −6 πi, and so on.
See also
 John Napier – inventor of logarithms
 Logarithm of a matrix
 Logarithmic integral function
 Nicholas Mercator – first to use the term natural log
 Polylogarithm
 Von Mangoldt function
 The number e
 Natural logarithm of 2
 Leonhard Euler
References
 ^ Mortimer, Robert G. (2005). Mathematics for physical chemistry (3rd ed.). Academic Press. p. 9. ISBN 0125083475. http://books.google.com/books?id=nGoSv5tmATsC., Extract of page 9
 ^ J J O'Connor and E F Robertson (200109). "The number e". The MacTutor History of Mathematics archive. http://wwwhistory.mcs.stand.ac.uk/HistTopics/e.html. Retrieved 20090202.
 ^ Cajori, Florian (1991). A History of Mathematics, 5th ed. AMS Bookstore. pp. 152. ISBN 0821821024. http://books.google.com/?id=mGJRjIC9fZgC&dq=%22Cajori%22+%22A+History+of+Mathematics%22+.
 ^ Flashman, Martin. "Estimating Integrals using Polynomials". http://users.humboldt.edu/flashman/Presentations/Estimations.html. Retrieved 20080323.
 ^ Boyers, Carl (1968). A History of Mathematics. Wiley.
 ^ Harris, John (1987). "Australian Aboriginal and Islander mathematics" (PDF). Australian Aboriginal Studies 2: 29–37. http://www1.aiatsis.gov.au/exhibitions/e_access/serial/m0005975_v_a.pdf. Retrieved 20080212.
 ^ Large, J.J. (1902). "The vigesimal system of enumeration". Journal of the Polynesian Society 11 (4): 260–261. http://www.jps.auckland.ac.nz/document/?wid=636. Retrieved 30 March 2011.
 ^ Cajori, Florian (1922). "Sexagesimal fractions among the Babylonians". American Mathematical Monthly 29 (1): 8–10. doi:10.2307/2972914. JSTOR 2972914.
 ^ Larson, Ron (2007). Calculus: An Applied Approach (8th ed.). Cengage Learning. p. 331. ISBN 0618958258. http://books.google.com/books?id=rbDG7V0OV34C., Section 4.5, page 331
 ^ Ballew, Pat. "Math Words, and Some Other Words, of Interest". http://www.pballew.net/arithme1.html#ln. Retrieved 20070916.
 ^ "Logarithmic Expansions" at Math2.org
 ^ Sasaki, T.; Kanada, Y. (1982). "Practically fast multipleprecision evaluation of log(x)". Journal of Information Processing 5 (4): 247–250. http://ci.nii.ac.jp/naid/110002673332. Retrieved 30 March 2011.
 ^ Ahrendt, Timm (1999). "Fast Computations of the Exponential Function". Stacs 99. Lecture notes in computer science. 1564. pp. 302–312. doi:10.1007/3540491163_28. ISBN 9783540656913
External links
Categories: Logarithms
 Elementary special functions

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