Editing Geometric mean (section)

{{Short description|N-th root of the product of n numbers}}
[[File:01-Mittlere Proportionale static.gif|thumb|400x400px|Example of the geometric mean: <math>l_g</math> (red) is the geometric mean of <math>l_1</math> and <math>l_2</math>,<ref>Matt Friehauf, Mikaela Hertel, Juan Liu, and Stacey Luong {{cite web|url=https://sites.math.washington.edu/~julia/teaching/445_Spring2013/ConstructionsI.pdf#page=6&zoom=80,-502,802 |title=On Compass and Straightedge Constructions: Means|publisher=UNIVERSITY of WASHINGTON, DEPARTMENTOF MATHEMATICS|year=2013 |access-date=14 June 2018}}</ref><ref>{{cite web|url=https://mathcs.clarku.edu/~djoyce/java/elements/bookVI/propVI13.html|title=Euclid, Book VI, Proposition 13|editor=David E. Joyce|editor-link=David E. Joyce (mathematician)|publisher= Clark University|year=2013 |access-date=19 July 2019}}</ref> is an example in which the line segment <math>l_2\;(\overline{BC})</math> is given as a perpendicular to <math>\overline{AB}</math>. <math>\overline{AC'}</math> is the diameter of a circle and <math>\overline{BC} \cong  \overline{BC'}</math>.]]
In mathematics, the '''geometric mean''' is a [[mean]] or [[average]] which indicates a [[central tendency]] of a finite collection of [[positive real numbers]] by using the product of their values (as opposed to the [[arithmetic mean]] which uses their sum).  The geometric mean of {{tmath|n}} numbers is the [[Nth root|{{mvar|n}}th root]] of their [[product (mathematics)|product]], i.e., for a collection of numbers {{math|''a''<sub>1</sub>, ''a''<sub>2</sub>, ..., ''a<sub>n</sub>''}}, the geometric mean is defined as

:<math> \sqrt[n]{a_1 a_2 \cdots a_n \vphantom{t}}.</math>

When the collection of numbers and their geometric mean are plotted in [[logarithmic scale]], the geometric mean is transformed into an arithmetic mean, so the geometric mean can equivalently be calculated by taking the [[natural logarithm]] {{tmath|\ln}} of each number, finding the arithmetic mean of the logarithms, and then returning the result to linear scale using the [[exponential function]] {{tmath|\exp}},

:<math>\sqrt[n]{a_1 a_2 \cdots a_n \vphantom{t}} = \exp \left( \frac{\ln a_1 + \ln a_2 + \cdots + \ln a_n }{n} \right).</math>

The geometric mean of two numbers is the [[square root]] of their product, for example with numbers {{tmath|2}} and {{tmath|8}} the geometric mean is <math>\textstyle \sqrt{2 \cdot 8} = {}</math>{{nobr|<math>\textstyle \sqrt{16} = 4</math>.}} The geometric mean of the three numbers is the [[cube root]] of their product, for example with numbers {{tmath|1}}, {{tmath|12}}, and {{tmath|18}}, the geometric mean is <math>\textstyle \sqrt[3]{1 \cdot 12 \cdot 18} = {}</math>{{nobr|<math>\textstyle \sqrt[3]{216} = 6</math>.}}

The geometric mean is useful whenever the quantities to be averaged combine multiplicatively, such as [[population growth]] rates or interest rates of a financial investment. Suppose for example a person invests $1000 and achieves annual returns of +10%, &minus;12%, +90%, &minus;30% and +25%, giving a final value of $1609. The average percentage growth is the geometric mean of the annual growth ratios (1.10, 0.88, 1.90, 0.70, 1.25), namely 1.0998, an annual average growth of 9.98%. The arithmetic mean of these annual returns is 16.6% per annum, which is not a meaningful average because growth rates do not combine additively.

The geometric mean can be understood in terms of [[geometry]]. The geometric mean of two numbers, <math>a</math> and <math>b</math>, is the length of one side of a [[square (geometry)|square]] whose area is equal to the area of a [[rectangle]] with sides of lengths <math>a</math> and <math>b</math>. Similarly, the geometric mean of three numbers, <math>a</math>, <math>b</math>, and <math>c</math>, is the length of one edge of a [[cube]] whose volume is the same as that of a [[cuboid]] with sides whose lengths are equal to the three given numbers.

The geometric mean is one of the three classical [[Pythagorean means]], together with the arithmetic mean and the [[harmonic mean]]. For all positive data sets containing at least one pair of unequal values, the harmonic mean is always the least of the three means, while the arithmetic mean is always the greatest of the three and the geometric mean is always in between (see [[Inequality of arithmetic and geometric means]].)