Real Analysis – Proving Equivalence of Euclidean and Maximum Metrics

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I need to show that the Euclidean metric and maximum metric (or square metric??) are strongly equivalent. I have no idea how to start this proof. Any help?

$d_1, d_2$ are called strongly equivalent if there exist positive constants $K, M$ such that for all $x, y\in X$:
$Md_1(x,y)\leq d_2(x,y)\leq Kd_1(x,y)$

Best Answer

Work in $\mathbb R^2$ since the idea carries over easily to higher dimensions. Let $(x,y) \in \mathbb R^2$ and assume (with no loss of generality) that $|x| \le |y|$.

Since $|x|^2 + |y|^2 \le 2|y|^2$ you have $$\sqrt{x^2 + y^2} \le \sqrt 2 |y| = \sqrt 2 \max \{|x|,|y|\}.$$

Since $|x| \le |y|$ you have $$\max\{|x|,|y|\} = |y| = \sqrt{y^2} \le \sqrt{x^2 + y^2}.$$