Quadratic variation and local times of the horizontal component of the Peano curve (square filling curve)
Phumlani L. Zondi, Darlington Hove, Rafał M. Łochowski, Farai J. Mhlanga
TL;DR
This work analyzes the x-coordinate of the deterministic Peano curve through the lens of quadratic variation along Lebesgue partitions. By developing one-step and $k$-step recursions for grids of the form $\left(p/3^{n}\right)\mathbb{Z}+\left(r/3^{n}\right)$, it establishes the existence of a finite, grid-dependent quadratic variation for the horizontal component, culminating in an explicit limit $[x]_t=3^{\lfloor -\log_{3}p\rfloor}p\{1-\tfrac{3}{4}(3^{\lfloor -\log_{3}p\rfloor}p)\}t$ (for irrational $r$). The paper further shows that $x$ possesses a local time with respect to the Lebesgue measure, expressible as a weak limit of normalized numbers of interval crossings, albeit with a non-smooth normalization reflecting a phenomenon of regularisation by noise. Together, these results distinguish the Peano curve’s deterministic path from Brownian trajectories, highlighting grid-dependent regularity phenomena and providing a precise occupation-density framework for a fractal space-filling curve.
Abstract
We show that the horizontal component of the Peano curve has quadratic variation equal the limit of quadratic variations along the Lebesgue partitions for grids of the form $3^{-n}p\mathbb{Z}+3^{-n}r$, $n=1,2,\ldots$, where $p$ is a rational number, while $r$ is irrational number, but the value of such quadratic variation depends on $p$. This also yields that the horizontal component of the Peano curve is an example of a deterministic function possessing local time (density of the occupation measure) with respect to the Lebesgue measure, whose local time can be expressed as the limit of normalized numbers of interval crossings by this function but the normalization is not a smooth function of the width of the intervals. These two features distinct the horizontal component of the Peano curve from the trajectories of the Wiener process, which is widely used in financial models.
