TY - JOUR T1 - On the Generalized Weighted Statistical Convergence TT - On the Generalized Weighted Statistical Convergence AU - Bayram, Erdal AU - Bektaş, Çiğdem PY - 2024 DA - November Y2 - 2024 DO - 10.34248/bsengineering.1553162 JF - Black Sea Journal of Engineering and Science JO - BSJ Eng. Sci. PB - Karyay Karadeniz Yayımcılık Ve Organizasyon Ticaret Limited Şirketi WT - DergiPark SN - 2619-8991 SP - 1310 EP - 1314 VL - 7 IS - 6 LA - en AB - Statistical convergence and summability represent a significant generalization of traditional convergence for sequences of real or complex values, allowing for a broader interpretation of convergence phenomena. This concept has been extensively examined by numerous researchers using various mathematical tools and applied to different mathematical structures over time, revealing its relevance across multiple disciplines. In the present study, a generalized definition of the concepts of statistical convergence and summability, termed (△_v^m )_u-generalized weighted statistical convergence and (△_v^m )_u-generalized weighted by [¯N_t ]-summability for real sequences, is introduced using the weighted density and generalized difference operator. Based on this definition, several fundamental properties and inclusion results, obtained by differentiating the components used in the definitions, are provided. KW - Generalized difference sequence KW - Weighted density KW - Weighted statistical convergence KW - Weighted summability N2 - Statistical convergence and summability represent a significant generalization of traditional convergence for sequences of real or complex values, allowing for a broader interpretation of convergence phenomena. 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