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Natural Logarithm  
Representation  
Inverse  
Derivative  
Indefinite Integral 
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]} Parentheses are sometimes added for clarity, giving ln(x), log_{e}(x) or log(x). This is done in particular when the argument to the logarithm is not a single symbol, in order to prevent ambiguity.
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. For instance, the binary logarithm is just the natural logarithm divided by ln(2), the natural logarithm of 2. 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.
Natural Logarithm  
Representation  
Inverse  
Derivative  
Indefinite Integral 
Part of a series of articles on the 
mathematical constant e 

Properties 

Applications 
Defining e 
People 
Related topics 
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.
The notations "ln x" and "log_{e} x" both refer unambiguously to the natural logarithm of x.
"log x" without an explicit base may also refer to the natural logarithm. This usage is common in mathematics and some scientific contexts as well as in many programming languages.^{[5]} "log x" is frequently used to denote the common (base 10) logarithm, however.
Initially, it might seem that since the common 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.^{[6]} Other cultures have based their counting systems on such choices as 5, 8, 12, 20, and 60.^{[7]}^{[8]}^{[9]}
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:^{[10]}
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.^{[11]}
Formally, ln(a) may be defined as the integral,
This function is a logarithm because it satisfies the fundamental property of a logarithm:
This can be demonstrated by splitting the integral that defines ln(ab) into two parts and then making the variable substitution x = ta in the second part, 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, say by using an infinite series, the natural logarithm may be defined as its inverse function, i.e., ln is that function such that exp(ln(x)) = x. 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.
Proof 

The statement is true for , and we now show that for all , which completes the proof by the fundamental theorem of calculus. Hence, we want to show that (Note that we have not yet proved that this statement is true.) If this is true, then by multiplying the middle statement by the positive quantity and subtracting we would obtain This statement is trivially true for since the left hand side is negative or zero. For it is still true since both factors on the left are less than 1 (recall that ). Thus this last statement is true and by repeating our steps in reverse order we find that for all . This completes the proof. 
The derivative of the natural logarithm is given by
This leads to the Taylor series for ln(1 + x) around 0; also known as the Mercator series
(Leonhard Euler^{[12]} nevertheless boldly applied this series to x= 1, in order to show that the harmonic series equals the (natural) logarithm of 1/(11), that is the logarithm of infinity. Nowadays, more formally but perhaps less vividly, we prove that the harmonic series truncated at N is close to the logarithm of N, when N is large).
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
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 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:
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.
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.
The natural logarithm of 10 ( A002392) plays a role for example in computation of natural logarithms of numbers represented in the scientific notation, a mantissa multiplied by a power of 10:
By this scaling, the algorithm may reduce the logarithm of all positive real numbers to an algorithm for natural logarithms in the range .
To compute the natural logarithm with many digits of precision, the Taylor series approach is not efficient since the convergence is slow. If x is near 1, an alternative is to use Newton's method to invert the exponential function, whose series converges more quickly. In this case, for an optimal function the iteration simplifies to
Another alternative for extremely high precision calculation is the formula^{[14]} ^{[15]}
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.)
The 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.
While no simple continued fractions are available, several generalized continued fractions are, including:
These continued fractions—particularly the last—converge rapidly for values close to 1. However, the natural logarithms of much larger numbers can easily be computed by repeatedly adding those of smaller numbers, with similarly rapid convergence.
For example, since 2 = 1.25^{3} × 1.024, the natural logarithm of 2 can be computed as:
Furthermore, since 10 = 1.25^{10} × 1.024^{3}, even the natural logarithm of 10 similarly can be computed as:
The 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.