gives the natural logarithm of z (logarithm to base ).
gives the logarithm to base b.
- Log is a mathematical function, suitable for both symbolic and numerical manipulation.
- Log gives exact rational number results when possible.
- For certain special arguments, Log automatically evaluates to exact values.
- Log can be evaluated to arbitrary numerical precision.
- Log automatically threads over lists.
- Log[z] has a branch cut discontinuity in the complex z plane running from to .
Examplesopen allclose all
Basic Examples (6)
Numerical Evaluation (6)
Evaluate Log efficiently at high precision:
Log can deal with real‐valued intervals:
Log threads elementwise over lists and matrices:
Specific Values (5)
Plot the Log function:
Function Properties (6)
Series Expansions (5)
Function Identities and Simplifications (6)
Basic identity for Log:
Generalizations & Extensions (2)
Plot Log for various bases:
Plot the real and imaginary parts of Log:
Plot the real and imaginary parts over the complex plane:
Plot data logarithmically and doubly logarithmically:
Benford's law predicts that the probability of the first digit is in many sequences:
Analyze the first digits of the following sequence:
Use Tally to count occurrences of each digit:
Shannon entropy for a set of probabilities:
Equi‐entropy surfaces for four symbols:
Approximate the prime number:
Exponential divergence of two nearby trajectories for a quadratic map:
Properties & Relations (13)
Compositions with the inverse function might need PowerExpand:
Get expansion that is correct for all complex arguments:
Simplify logarithms with assumptions:
Convert inverse trigonometric and hyperbolic functions into logarithms:
Log arises from the power function in a limit:
Solve a logarithmic equation:
Reduce a logarithmic equation:
Numerically find a root of a transcendental equation:
The natural logarithms of integers are transcendental:
Solve differential equations:
Log is automatically returned as a special case for various special functions:
Possible Issues (7)
For a symbolic base, the base b log evaluates to a quotient of logarithms:
Because intermediate results can be complex, approximate zeros can appear:
Machine-precision inputs can give numerically wrong answers on branch cuts:
Use arbitrary‐precision arithmetic to obtain correct results:
Compositions of logarithms can give functions that are zero almost everywhere:
This function is a differential-algebraic constant:
Logarithmic branch cuts can occur without their corresponding branch point:
The argument of the logarithm never vanishes:
But it can take negative values, so the logarithm has a branch cut:
The kink at marks the appearance of the second sheet:
Logarithmic terms in Puiseux series are considered coefficients inside SeriesData:
In traditional form, parentheses are needed around the argument: