Persistence of the Wiener Sausage: Sampling Stability and a Law of Large Numbers for Drifted Planar Brownian Motion DRAFT -CURRENTLY UNDER REVIEW
Tristan Guillaume

TL;DR
This paper establishes a sampling stability theorem and a law of large numbers for the persistent homology of drifted planar Brownian motion's Wiener sausages, revealing linear growth of topological complexity over time.
Contribution
It introduces a regeneration scheme and a Boundary Lemma to analyze the persistent homology of drifted Brownian motion, providing new theoretical insights.
Findings
Sampling theorem bounds bottleneck distance by pathwise modulus of continuity.
Almost-sure rate of convergence for Brownian motion persistence diagrams is O(|πn| log(1/|πn|)).
Persistence functional grows linearly with time, with a deterministic intensity measure.
Abstract
We study the persistent homology of the offset filtration generated by the range of a planar Brownian motion with constant nonzero drift. The members of this filtration are the Wiener sausages of increasing radius, and the degree-one persistence diagram records the birth and death of holes in the thickened trace as the radius varies. Our first result is a sampling theorem: for any continuous path in R d observed on a time grid n the bottleneck distance between the persistence diagram of the continuous offset filtration and that of the sampled point cloud is bounded by the pathwise modulus of continuity X (|n|). For Brownian motion this yields the almost-sure rate O |n| log(1/|n|) . Our second and main result is a law of large numbers for the drifted planar case. For every bounded Borel weight supported on a compact radius window [r0, r1] with r0 >…
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