The approximate variation to pointwise selection principles
Vyacheslav V. Chistyakov

TL;DR
This paper investigates the properties of approximate variation in functions mapping into metric spaces, establishing a pointwise selection principle that guarantees convergence of subsequences under certain boundedness and compactness conditions.
Contribution
It provides a direct proof of a basic pointwise selection principle for functions with bounded approximate variation, extending to various function classes and convergence types.
Findings
Established a pointwise selection principle for functions with bounded approximate variation.
Extended the principle to regulated, nonregulated, and Banach space-valued functions.
Illustrated the sharpness of results with examples.
Abstract
Let , be a metric space with metric , and be the set of all functions mapping into . Given , we study the properties of the approximate variation , where is the greatest lower bound of Jordan variations of functions such that for all . The notion of -variation was introduced by Fra\'nkov\'a [Math. Bohem. 116 (1991), 20-59] for intervals in and and extended to the general case by Chistyakov and Chistyakova [Studia Math. 238 (2017), 37-57]. We prove directly the following basic pointwise selection principle: If a sequence of functions from is such that the closure in of the set is compact for all…
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