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Viewing Version 2 of 'using Jensen's inequality to prove the arithmetic-geometric-harmonic means inequality'
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Title of object: using Jensen's inequality to prove the arithmetic-geometric-harmonic means inequality
Canonical Name: UsingJensensInequalityToProveTheArithmeticGeometricHarmonicMeansInequality
Type: Example

Created on: 2002-06-03 08:26:33-04
Modified on: 2002-06-04 02:24:09-04

Creator: ariels
Modifier: ariels
Author: ariels

Classification: msc:39B62, msc:26D15

Preamble:

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Content:

We can use the Jensen inequality for an easy proof of the arithmetic-geometric-harmonic means inequality.
Let $x_1,\ldots,x_n > 0$; we shall first prove that
\sqrt[n]{x_1\cdot\ldots\cdot x_n} \le \frac{x_1+\ldots+x_n}{n}.
Note that $\log$ is a concave function. Applying it to the
arithmetic mean of $x_1,\ldots, x_n$ and using Jensen's inequality, we see that
\begin{multline*}
\log(\frac{x_1+\ldots+x_n}{n}) \ge\\
\frac{\log(x_1)+\ldots+\log(x_n)}{n} =\\
\frac{\log(x_1\cdot\ldots\cdot x_n)}{n} =\\
\log{\sqrt[n]{x_1\cdot\ldots\cdot x_n}}.
\end{multline*}
Since $\log$ is also a monotone function, it follows that the arithmetic mean is at least as large as the geometric mean.
The proof that the geometric mean is at least as large as the harmonic mean is the usual one (see ``proof of arithmetic-geometric-harmonic means inequality'').