Arithmetic Mean is Never Less than Harmonic Mean
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Theorem
Let $x_1, x_2, \ldots, x_n \in \R_{> 0}$ be strictly positive real numbers.
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
$A_n$ is defined as:
- $\ds A_n = \frac 1 n \paren {\sum_{k \mathop = 1}^n x_k}$
$H_n$ is defined as:
- $\ds \frac 1 H_n = \frac 1 n \paren {\sum_{k \mathop = 1}^n \frac 1 {x_k} }$
We have that:
- $\forall k \in \closedint 1 n: x_k > 0$
From Positive Real has Real Square Root, we can express each $x_k$ as a square:
- $\forall k \in \closedint 1 n: x_k = y_k^2$
without affecting the result.
Thus we have:
- $\ds A_n = \frac 1 n \paren {\sum_{k \mathop = 1}^n y_k^2}$
- $\ds \frac 1 {H_n} = \frac 1 n \paren {\sum_{k \mathop = 1}^n \frac 1 {y_k^2} }$
Multiplying $A_n$ by $\dfrac 1 {H_n}$:
\(\ds \frac {A_n} {H_n}\) | \(=\) | \(\ds \frac 1 n \paren {\sum_{k \mathop = 1}^n y_k^2} \frac 1 n \paren {\sum_{k \mathop = 1}^n \frac 1 {y_k^2} }\) | ||||||||||||
\(\ds \) | \(\ge\) | \(\ds \frac 1 {n^2} \paren {\sum_{k \mathop = 1}^n \frac {y_k} {y_k} }^2\) | Cauchy's Inequality | |||||||||||
\(\ds \) | \(=\) | \(\ds \frac 1 {n^2} \paren {\sum_{k \mathop = 1}^n 1}^2\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds \frac {n^2} {n^2} = 1\) |
So:
- $\dfrac {A_n} {H_n} \ge 1$
and so from Real Number Axiom $\R \text O2$: Usual Ordering is Compatible with Multiplication:
- $A_n \ge H_n$
$\blacksquare$
Also see
Sources
- 1977: K.G. Binmore: Mathematical Analysis: A Straightforward Approach ... (previous) ... (next): $\S 1$: Real Numbers: Exercise $\S 1.12 \ (5)$
- 2014: Christopher Clapham and James Nicholson: The Concise Oxford Dictionary of Mathematics (5th ed.) ... (previous) ... (next): mean