A definition of fractional k-dimensional measure: bridging the gap between fractional length and fractional area
Cornelia Mihaila, Brian Seguin

TL;DR
This paper introduces a fractional $k$-dimensional measure that interpolates between fractional length and fractional area, converging to the classical Hausdorff measure as the fractional parameter approaches 1.
Contribution
It defines a new fractional measure for $k$-dimensional sets that unifies existing fractional notions of length and area, with a precise convergence result.
Findings
The fractional measure depends on a parameter $\sigma$ between 0 and 1.
Multiplying by $(1-\sigma)$, the measure converges to the Hausdorff measure as $\sigma$ approaches 1.
The measure coincides with classical notions for specific values of $k$.
Abstract
Here we introduce a fractional notion of -dimensional measure, , that depends on a parameter that lies between and . When this coincides with the fractional notions of area and perimeter, and when this coincides with the fractional notion of length. It is shown that, when multiplied by the factor , this -measure converges to the -dimensional Hausdorff measure up to a multiplicative constant that is computed exactly. We also mention several future directions of research that could be pursued using the fractional measure introduced.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFractional Differential Equations Solutions · Mathematical Dynamics and Fractals · Mathematical functions and polynomials
