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By [[implicit differentiation]], one can show that ''W'' satisfies the [[ordinary differential equation|differential equation]]
By [[implicit differentiation]], one can show that ''W'' satisfies the [[ordinary differential equation|differential equation]]


:<math>z(1+W)\frac{dW}{dz}=W\quad\mathrm{for\ }z\neq -1/e</math>
:<math>z(1+W)\frac{dW}{dz}=W\quad\mathrm{for\ }z\neq -1/e.</math>


==Taylor series==
==Taylor series==

Revision as of 18:15, 7 March 2008

The graph of W0(x) for −1/ex ≤ 4

In mathematics, The Lambert W function, named after Johann Heinrich Lambert, also called the Omega function or product log, is the inverse function of f(w) = wew where ew is the natural exponential function and w is any complex number. We will denote the function here by W. For every complex number z, we have

Since the function f is not injective in (−∞, 0), the function W is multivalued in [−1/e, 0). If we restrict to real arguments x ≥ −1/e and demand w ≥ −1, then a single-valued function W0(x) is defined, whose graph is shown. We have W0(0) = 0 and W0(−1/e) = −1.

The Lambert W function cannot be expressed in terms of elementary functions. It is useful in combinatorics, for instance in the enumeration of trees. It can be used to solve various equations involving exponentials and also occurs in the solution of time-delayed differential equations, such as y'(t) = a y(t − 1).

Differential equation

By implicit differentiation, one can show that W satisfies the differential equation

Taylor series

The Taylor series of W0 around 0 can be found using the Lagrange inversion theorem and is given by

The radius of convergence is 1/e, as may be seen by the ratio test. The function defined by this series can be extended to a holomorphic function defined on all complex numbers with a branch cut along the interval (−∞, −1/e]; this holomorphic function defines the principal branch of the Lambert W function.

Applications

Many equations involving exponentials can be solved using the W function. The general strategy is to move all instances of the unknown to one side of the equation and make it look like Y = XeX at which point the W function provides the solution.

In other words :

Examples

Example 1

More generally, the equation

where

can be transformed via the substitution

into

giving

which yields the final solution


Example 2

Similar techniques show that

has solution

or, equivalently,

Example 3

Whenever the complex infinite exponential

converges, the Lambert W function provides the actual limit value as

where ln(z) denotes the principal branch of the complex log function.

Example 4

Solutions for

have the form

Example 5

The solution for the current in a series diode/resistor circuit can also be written in terms of the Lambert W. See diode modeling.

Example 6

The delay differential equation

has characteristic equation , leading to and , where is the branch index. If is real, only need be considered.

Integration

The function W(x), and many expressions involving W(x), can be integrated using the substitution w = W(x), i.e. x = w ew:

Special values

(the Omega constant)

Plots

Evaluation algorithm

The W function may be evaluated using the recurrence relation

given in Corless et al. to compute W. Together with the evaluation error estimate given in Chapeau-Belandeau and Monir, the following Python code implements this:

import math
 
def lambertW(x, prec = 1E-12, maxiters = 100):
    w = 0
    for i in range(maxiters):
        we = w * pow(math.e,w)
        w1e = (w + 1) * pow(math.e,w)
        if prec > abs((x - we) / w1e):
            return w
        w -= (we - x) / (w1e - (w+2) * (we-x) / (2*w+2))
    raise ValueError("W doesn't converge fast enough for abs(z) = %f" % abs(x))

This computes the principal branch for . It could be improved by giving better initial estimates.

The following closed form approximation may be used by itself when less accuracy is needed, or to give an excellent initial estimate to the above code, which then may need only a few iterations:

double
desy_lambert_W(double x) {
      double  lx1;
      if (x <= 500.0) {
              lx1 = ln(x + 1.0);
              return 0.665 * (1 + 0.0195 * lx1) * lx1 + 0.04;
      }
      return ln(x - 4.0) - (1.0 - 1.0/ln(x)) * ln(ln(x));
}

(from http://www.desy.de/~t00fri/qcdins/texhtml/lambertw/)

History

The Lambert W function has an unusual history: although its study dates back to a 1779 paper by Leonhard Euler, the inverse of wew was not recognized as a function worthy of attention in its own right until the 1980s. The recognition came with the function's implementation in the Maple computer algebra system, for which purpose the name Lambert W was introduced. Lambert's name was chosen instead of Euler's because Euler referenced earlier work by Lambert in his paper, and possibly because "naming yet another function after Euler would not be useful" (Corless et al.).