A density version of a theorem of Banach
David A. Ross
TL;DR
This paper develops a density-variant of Banach’s representation theorem using nonstandard analysis. It introduces the $d$-limit concept with upper density $\bar{d}$ and proves the equivalence between weak-$d$ convergence of a uniformly bounded sequence of functions and a density-limited double-limit, via a density-enhanced Bergelson lemma and Loeb/S-measures. The approach transfers finite-additive, nonstandard information to a density framework, yielding a density version of Banach’s theorem and its representation form. The results provide a robust tool for analyzing density-based convergence phenomena with potential applications in ergodic theory and functional analysis.
Abstract
The S-measure construction from nonstandard analysis is used to prove an extension of a result on the intersection of sets in a finitely-additive measure space. This is then used to give a density-limit version of a representation theorem of Banach.
