Constant speed and the length of curves of bounded variation #
Constant speed bounds distances by elapsed parameter time. Mathlib's natural parameterization therefore shows that the image of any curve of locally bounded variation has Hausdorff dimension at most one. In particular this applies to absolutely continuous planar curves.
The same factorization bounds the one-dimensional Hausdorff measure of the trace of a curve by
its total variation, H¹(f '' s) ≤ eVariationOn f s, both for Mathlib's raw Hausdorff measure
μH[1] and for the Euclidean normalization μHE[1]. No continuity, injectivity, or finiteness
hypothesis is needed: the bound is trivial when the variation is infinite.
Main results #
LocallyBoundedVariationOn.dimH_image_le_one: a curve of locally bounded variation has a trace of Hausdorff dimension at most one.eVariationOn.hausdorffMeasure_image_le:μH[1] (f '' s) ≤ eVariationOn f s.eVariationOn.euclideanHausdorffMeasure_image_le:μHE[1] (f '' s) ≤ eVariationOn f s.
A curve with constant speed is Lipschitz with that speed as its Lipschitz constant.
The extended diameter of the set of cumulative variations from a base point of s is at most
the total variation on s.
A curve of locally bounded variation on s factors, on s, through its natural
parameterization restricted to the set of cumulative variations from a base point.
The image of a curve of locally bounded variation has Hausdorff dimension at most one, because its natural parameterization is Lipschitz on a subset of the real line.
The one-dimensional Hausdorff measure of the image of s under f is at most the total
variation of f on s. In particular, the trace of a rectifiable curve has Hausdorff length at
most the length of the curve.
The Euclidean one-dimensional Hausdorff measure of the image of s under f is at most the
total variation of f on s. In particular, the trace of a rectifiable curve has
one-dimensional Euclidean Hausdorff measure at most the length of the curve.
The image of a curve of locally bounded variation has zero additive Haar measure in every finite-dimensional real normed space of dimension greater than one.