2026-10-29T21:47:49Zhttps://munzur-rdlopen.rawdatalibrary.net/oai/request

oai:munzur-rdlopen.rawdatalibrary.net:munzur/14182026-10-28T15:28:43Zopenairedrivercom_munzur_1col_munzur_2com_munzur_11col_munzur_162

Generalized Statistical Convergence in Sequence Spaces: A Modulus Function PerspectiveAtıcı Turan, Gülcandensitymodulus functionstatistical convergenceThis study introduces a flexible framework for analyzing how sequences of numbers approach a limit, even when traditional convergence criteria fail. By incorporating modulus function mathematical tools that quantify growth rates, this research extends the concept of statistical convergence to handle sequences with irregular or sparse behavior. Key results establish connections between this generalized convergence theory and related properties, like boundedness, providing a unified approach to understanding sequence dynamics. The findings enhance our ability to model and analyze complex data patterns in mathematics and beyond.Multidisciplinary Digital Publishing Institute (MDPI)2025Articlehttps://rdlopen.rawdatalibrary.net/r/munzur/1418https://doi.org/10.3390/sym170710802073-8994enSymmetryinfo:eu-repo/semantics/openAccessinfo:eu-repo/semantics/articlehttps://munzur-rdlopen.rawdatalibrary.net/tr/items/munzur/1418