TheoremBase

The Euclidean Distance on Rn\mathbb{R}^n

The Euclidean distance between two points of RnR^n is the Euclidean norm of their difference.

Statement

In the setting of Metric Spaces: Balls, the Metric Topology, and the Real and Complex Numbers as Metric Spaces, let n∈Nn\in\mathbb{N}, with the difference of Euclidean Space Rn\mathbb{R}^n: n-Tuples of Real Numbers with Their Componentwise Operations (iv) and the Euclidean norm ∥⋅∥\lVert\cdot\rVert on Rn\mathbb{R}^{n}. The map below exists and is unique by The Summation Map on Real-Valued Maps over a Finite Set, and the Dot Product, Euclidean Norm and Euclidean Distance as Maps (iv).

The Euclidean distance on Rn\mathbb{R}^{n} is the map dE:Rn×Rn→Rd_{E}:\mathbb{R}^{n}\times\mathbb{R}^{n}\to\mathbb{R} with

dE(x,y)=∥x−y∥for all x,y∈Rn.d_{E}(x,y)=\lVert x-y\rVert\qquad\text{for all }x,y\in\mathbb{R}^{n}.

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