Journals / Sigma Journal of Engineering and Natural Sciences / 2026 / Volume: 37 Issue: 2

LACUNARY I_σ-STATISTICAL CONVERGENCE OF COMPLEX UNCERTAIN SEQUENCE

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Publication Date
2019-06-01
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AI Summary & Key Takeaways

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⚡ TL;DR(Too Long; Didn't Read)

In addition, decomposition theorems and relationships among them are discussed.

📌 3 Key Takeaways

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Objective & Hypothesis:This study introduces the concepts of lacunary I_σ-statistical convergence of complex uncertain sequences: lacunary I_σ-statistical convergence almost surely (S_θ ( I_σ ).a.s.), lacunary I_σ-statistical convergence in measure, lacunary I_σ-statistical convergence in mean, lacunary I_σ-statistical convergence in distribution and lacunary I_σ-statistically convergence uniformly almost surely (S_θ ( I_σ ).u.a.s).
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Key Findings & Data:This study introduces the concepts of lacunary I_σ-statistical convergence of complex uncertain sequences: lacunary I_σ-statistical convergence almost surely (S_θ ( I_σ ).a.s.), lacunary I_σ-statistical convergence in measure, lacunary I_σ-statistical convergence in mean, lacunary I_σ-statistical convergence in distribution and lacunary I_σ-statistically convergence uniformly almost surely (S_θ ( I_σ ).u.a.s).
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Conclusion & Impact:In addition, decomposition theorems and relationships among them are discussed.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Lacunary convergence · invariant · uncertainty theory

Abstract

This study introduces the concepts of lacunary I_σ-statistical convergence of complex uncertain sequences: lacunary I_σ-statistical convergence almost surely (S_θ ( I_σ ).a.s.), lacunary I_σ-statistical convergence in measure, lacunary I_σ-statistical convergence in mean, lacunary I_σ-statistical convergence in distribution and lacunary I_σ-statistically convergence uniformly almost surely (S_θ ( I_σ ).u.a.s). In addition, decomposition theorems and relationships among them are discussed.

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Cite This Article

Kişi, Ö. (2019). LACUNARY I_σ-STATISTICAL CONVERGENCE OF COMPLEX UNCERTAIN SEQUENCE. Sigma Journal of Engineering and Natural Sciences, Volume: 37 Issue: 2. https://ajindex.com/articles/1632756

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