The one-dimensional centred maximal function diminishes the variation of indicator functions
Constantin Bilz, Julian Weigt

TL;DR
This paper establishes precise bounds on the variation of one-dimensional centered Hardy--Littlewood maximal functions of indicator functions, characterizing maximizers and extending results to broader function classes in both continuous and discrete contexts.
Contribution
It provides sharp local and global variation bounds for the maximal functions of indicator functions, including characterizations of maximizers and extensions to larger function classes.
Findings
Sharp local and global variation bounds established
Maximizers characterized in both continuous and discrete settings
Results extended to a broader class of functions
Abstract
We prove sharp local and global variation bounds for the centred Hardy--Littlewood maximal functions of indicator functions in one dimension. We characterise maximisers, treat both the continuous and discrete settings and extend our results to a larger class of functions.
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
TopicsAdvanced Harmonic Analysis Research · Nonlinear Partial Differential Equations · Advanced Mathematical Modeling in Engineering
