The Lipschitz truncation of functions of bounded variation
Dominic Breit, Lars Diening, Franz Gmeineder

TL;DR
This paper introduces a Lipschitz truncation method for functions of bounded variation that approximates them in the area-strict metric while only altering the original function on a small set, improving upon previous measure-based estimates.
Contribution
It develops a new Lipschitz truncation technique for BV functions that works in the area-strict metric, with minimal modifications to the original function.
Findings
Lipschitz truncation approximates BV functions in the area-strict metric.
The truncation alters the original function only on a small set.
Previous estimates were limited to measure of the difference set.
Abstract
We construct a Lipschitz truncation which approximates functions of bounded variation in the area-strict metric. The Lipschitz truncation changes the original function only on a small set similar to Lusin's theorem. Previous results could only give estimates on the Lebesgue measure of the set where the Lipschitz approximations differ from the original function.
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Taxonomy
TopicsAdvanced Banach Space Theory · Functional Equations Stability Results · Reservoir Engineering and Simulation Methods
