Convergence of the generalized mean

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Given $k\in\mathbb{N}$ real numbers $x_1,\dots ,x_k>0$, consider the following sequence of means:

$a_n:=\sqrt[n]{\sum_{j=1}^kx_j^n}$, $n\in\mathbb{N}$

I know that the limit of this sequence should be $\max\{x_1,\dots,x_k\}$. How can I prove this?

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Let's assume first that $x_1>x_i$ for $i>1$.

Then,

$$\sum_{j=1}^k x_j^n = x_1\left(1 + \sum_{j=2}^k\left(\frac{x_j}{x_i}\right)^n\right)$$

and $0<\frac{x_j}{x_1}<1$. It should be easy to see what happens in the limit.


Now you should also tackle the problem if there is more than one maximum element. In that case, you can assume without loss of generality that $x_1=x_2=\dots x_m>x_i$ for $i>m$, and rewrite the expression similarly. You should only get an extra factor of $\sqrt[n]{m}$ which goes to $1$ as $n\to\infty$.

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Let $M=\max (x_1,...,x_k)=x_i.$ Then $$M=x_i=(x_i^n)^{1/n}\leq (\sum_{j=1}^kx_j^n)^{1/n}=a_n\leq (\sum_{j=1}^kx_i^n)^{1/n}=(x_i^n\cdot k)^{1/n}=x_i\cdot k^{1/n}=Mk^{1/n}. $$