Cauchy Criterion in Rk

In Euclidean space, a sequence converges exactly when it is Cauchy.
Cauchy Criterion in Rk

Cauchy criterion in Rk\mathbb{R}^k: Let (xn)(x_n) be a sequence in Rk\mathbb{R}^k, with distance measured by the (equivalently, the Euclidean metric). Then (xn)(x_n) converges in Rk\mathbb{R}^k if and only if it is a , meaning: for every ε>0\varepsilon>0 there exists NN such that for all m,nNm,n\ge N, xnxm<ε\|x_n-x_m\|<\varepsilon.

This is the completeness of Euclidean space, i.e. that Rk\mathbb{R}^k is a . In one dimension it is one of the standard consequences of the .