Arithmetic Mean Never Less than Harmonic Mean

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Theorem

Let $x_1, x_2, \ldots, x_n \in \R$ be real numbers which are all positive.

Let $A_n$ be the arithmetic mean of $x_1, x_2, \ldots, x_n$.

Let $H_n$ be the harmonic mean of $x_1, x_2, \ldots, x_n$.


Then $A_n \ge H_n$.


Proof

The arithmetic mean of $x_1, x_2, \ldots, x_n$ is defined as:

$\displaystyle A_n = \frac 1 n \left({\sum_{k=1}^n x_k}\right)$

The harmonic mean of $x_1, x_2, \ldots, x_n$ is defined as:

$\displaystyle \frac 1 H_n = \frac 1 n \left({\sum_{k=1}^n \frac 1 {x_k}}\right)$


As $\forall k \in \left[{1 .. n}\right]: x_k > 0$, we can express all the $x_k$'s as squares:

$\forall k \in \left[{1 .. n}\right]: x_k = y_k^2$

without affecting the result.

Thus we have:

  • $\displaystyle A_n = \frac 1 n\left({\sum_{k=1}^n y_k^2}\right)$
  • $\displaystyle \frac 1 H_n = \frac 1 n \left({\sum_{k=1}^n \frac 1 {y_k^2}}\right)$


Now let's see what happens when we multiply them together:

\(\displaystyle \) \(\displaystyle \) \(\displaystyle \) \(\displaystyle \frac {A_n} {H_n}\) \(=\) \(\displaystyle \frac 1 n \left({\sum_{k=1}^n y_k^2}\right) \frac 1 n \left({\sum_{k=1}^n \frac 1 {y_k^2} }\right)\) \(\displaystyle \) \(\displaystyle \) \(\displaystyle \)                    
\(\displaystyle \) \(\displaystyle \) \(\displaystyle \) \(\displaystyle \) \(\ge\) \(\displaystyle \frac 1 {n^2} \left({\sum_{k=1}^n \frac {y_k} {y_k} }\right)^2\) \(\displaystyle \) \(\displaystyle \) \(\displaystyle \)          Cauchy's Inequality          
\(\displaystyle \) \(\displaystyle \) \(\displaystyle \) \(\displaystyle \) \(=\) \(\displaystyle \frac 1 {n^2} \left({\sum_{k=1}^n 1}\right)^2\) \(\displaystyle \) \(\displaystyle \) \(\displaystyle \)                    
\(\displaystyle \) \(\displaystyle \) \(\displaystyle \) \(\displaystyle \) \(=\) \(\displaystyle \frac {n^2} {n^2} = 1\) \(\displaystyle \) \(\displaystyle \) \(\displaystyle \)                    

So $\dfrac {A_n} {H_n} \ge 1$ and the result follows.

$\blacksquare$


See Also


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