Arithmetic-geometric mean
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In mathematics, the arithmetic-geometric mean (AGM) of two positive real numbers x and y is defined as follows:
First compute the arithmetic mean of x and y and call it a1. Next compute the geometric mean of x and y and call it g1; this is the square root of the product xy:
Then iterate this operation with a1 taking the place of x and g1 taking the place of y. In this way, two sequences (an) and (gn) are defined:
These two sequences converge to the same number, which is the arithmetic-geometric mean of x and y; it is denoted by M(x, y), or sometimes by agm(x, y).
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[edit] Example
To find the arithmetic-geometric mean of a0 = 24 and g0 = 6, first calculate their arithmetic mean and geometric mean, thus:
and then iterate as follows:
etc.
The first four iterations give the following values:
-
n an gn 0 24 6 1 15 12 2 13.5 13.41640786500... 3 13.45820393250... 13.45813903099... 4 13.45817148175... 13.45817148171...
The arithmetic-geometric mean of 24 and 6 is the common limit of these two sequences, which is approximately 13.45817148173.
[edit] Properties
M(x, y) is a number between the geometric and arithmetic mean of x and y; in particular it is between x and y.
If r > 0, then M(rx, ry) = r M(x, y).
There is a closed form expression for M(x,y):
where K(x) is the complete elliptic integral of the first kind.
The reciprocal of the arithmetic-geometric mean of 1 and the square root of 2 is called Gauss's constant.
named after Carl Friedrich Gauss.
The geometric-harmonic mean can be calculated by an analogous method, using sequences of geometric and harmonic means. The arithmetic-harmonic mean can be similarly defined, but takes the same value as the geometric mean.
[edit] Implementation in Python
The following example code in Python computes the arithmetic-geometric mean of two positive real numbers:
from math import sqrt
def avg(a, b, delta=None):
if None==delta:
delta=(a+b)/2*1E-10
if(abs(b-a)>delta):
return avg((a+b)/2.0, sqrt(a*b), delta)
else:
return (a+b)/2.0
[edit] See also
Inequality of arithmetic and geometric means
[edit] References
- Jonathan Borwein, Peter Borwein, Pi and the AGM. A study in analytic number theory and computational complexity. Reprint of the 1987 original. Canadian Mathematical Society Series of Monographs and Advanced Texts, 4. A Wiley-Interscience Publication. John Wiley & Sons, Inc., New York, 1998. xvi+414 pp. ISBN 0-471-31515-X MR1641658
- M. Hazewinkel (2001), “Arithmetic-geometric mean process”, in Hazewinkel, Michiel, Encyclopaedia of Mathematics, Kluwer Academic Publishers, ISBN 978-1556080104
- Eric W. Weisstein, Arithmetic-Geometric mean at MathWorld.










