Two Approximation Results for Divergence Free Measures
Jesse Goodman, Felipe Hernandez, Daniel Spector

TL;DR
This paper proves two approximation results for divergence-free measures, showing how such measures can be approximated by measures supported on loops and establishing density of smooth functions in this measure space.
Contribution
It provides new approximation theorems for divergence-free measures, extending the understanding of their structure and density properties in the strict topology.
Findings
Divergence-free measures can be approximated by measures on oriented loops.
Smooth compactly supported functions are dense in divergence-free measure space.
The results extend the approximation of solenoidal charges in the strict topology.
Abstract
In this paper we prove two approximation results for divergence free measures. The first is a form of an assertion of J. Bourgain and H. Brezis concerning the approximation of solenoidal charges in the strict topology: Given such that in the sense of distributions, there exist oriented loops with associated measures such that \[ F= \lim_{l \to \infty} \frac{\|F\|_{M_b(\mathbb{R}^d;\mathbb{R}^d)}}{n_l \cdot l} \sum_{i=1}^{n_l} \mu_{\Gamma_{i,l}} \] weakly-star in the sense of measures and \[ \lim_{l \to \infty} \frac{1}{n_l \cdot l} \sum_{i=1}^{n_l} \|\mu_{\Gamma_{i,l}}\|_{M_b(\mathbb{R}^d;\mathbb{R}^d)} = 1. \] The second, which is an almost immediate consequence of the first, is that smooth compactly supported functions are dense in \[ \left\{ F \in M_b(\mathbb{R}^d;\mathbb{R}^d):…
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Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Mathematical Dynamics and Fractals · Mathematical Approximation and Integration
