Abstract
This paper gives an overview of the theory of statistical convergence and extends a result of Fridy and Orhan. A sequence x is said to be statistically convergent to L with respect to the finitely additive measure μ provided that ‘almost all’ of the values x are arbitarily close to L with respect to μ. One can also define what is meant by a μ-statistical cluster point of a sequence, μ-statistical limit superior of a sequence and so forth and thus create a theory of convergence that includes ordinary convergence. In this note we review some of the basic results of μ-statistical convergence, indicate either topological or functional analytic proofs of some basic results and provide a means of isolating the invariants of statistical convergence.
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Connor, J. (1999). A topological and functional analytic approach to statistical convergence. In: Bray, W.O., Stanojević, Č.V. (eds) Analysis of Divergence. Applied and Numerical Harmonic Analysis. Birkhäuser Boston. https://doi.org/10.1007/978-1-4612-2236-1_23
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DOI: https://doi.org/10.1007/978-1-4612-2236-1_23
Publisher Name: Birkhäuser Boston
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