Euclidean distance on a finite dimensional space #
When we define a smooth bump function on a normed space, it is useful to have a smooth distance on
the space. Since the default distance is not guaranteed to be smooth, we define toEuclidean to be
an equivalence between a finite dimensional topological vector space and the standard Euclidean
space of the same dimension.
Then we define Euclidean.dist x y = dist (toEuclidean x) (toEuclidean y) and
provide some definitions (Euclidean.ball, Euclidean.closedBall) and simple lemmas about this
distance. This way we hide the usage of toEuclidean behind an API.
If E is a finite dimensional space over ℝ, then toEuclidean is a continuous ℝ-linear
equivalence between E and the Euclidean space of the same dimension.
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If x and y are two points in a finite dimensional space over ℝ, then Euclidean.dist x y
is the distance between these points in the metric defined by some inner product space structure on
E.
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Closed ball w.r.t. the euclidean distance.
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Open ball w.r.t. the euclidean distance.