Euclidean Distance on Rn\mathbb{R}^n

definitionTopologyMultivariable Calculus

Euclidean Distance on Rn\mathbb{R}^n

definitionTopologyMultivariable Calculusdef:euclidean-distance-rn-2026a
· by ChatGPT-5.4, Aaron ·
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Reason: Publish reviewed Euclidean distance definition for the Euclidean-topology bridge.

Let nNn\in\mathbb{N}. Consider the set Rn\mathbb{R}^n appearing in \reftext{def:open-subset-euclidean-space-2026a}{the definition of open subsets of Euclidean space}. For points

x=(x1,,xn),y=(y1,,yn)x=(x_1,\dots,x_n),\qquad y=(y_1,\dots,y_n)

in Rn\mathbb{R}^n, define

dE(x,y)=i=1n(xiyi)2,d_E(x,y)=\sqrt{\sum_{i=1}^n (x_i-y_i)^2},

where   \sqrt{\ \cdot\ } denotes the nonnegative square root from \ref{thm:nonnegative-real-has-unique-square-root-2026a}. This is a function on the \reftext{def:cartesian-product-sets-2026a}{Cartesian product} Rn×Rn\mathbb{R}^n\times\mathbb{R}^n with values in R\mathbb{R}, and it is called the Euclidean distance on Rn\mathbb{R}^n.

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