Criteria for statistical convergence with respect to power series methods

Criteria for statistical convergence with respect to power series methods

In the present paper we give some criteria for statistical convergence with respect to power series method. The main tool for providing this result is the inverse Fourier transformation. We will also deal with sequences x that admit a factorization x = y z in which y is strongly convergent and z is...

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Veröffentlicht in:Positivity : an international journal devoted to the theory and applications of positivity in analysis 2021-07, Vol.25 (3), p.1097-1105
1. Verfasser: Şahin Bayram, Nilay
Format: Artikel
Sprache:eng
Schlagworte:
Calculus of Variations and Optimal Control
Optimization
Convergence
Criteria
Econometrics
Fourier Analysis
Fourier transforms
Mathematics
Mathematics and Statistics
Operator Theory
Potential Theory
Power series
Sequences
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Zusammenfassung:In the present paper we give some criteria for statistical convergence with respect to power series method. The main tool for providing this result is the inverse Fourier transformation. We will also deal with sequences x that admit a factorization x = y z in which y is strongly convergent and z is statistically convergent with respect to a power series method.
ISSN:1385-1292
1572-9281
DOI:10.1007/s11117-020-00801-6