Abstract
In this article, using the notion of a two-valued measure \(\mu \), we propose the ideas of \(\mu \)-statistical convergence and \(\mu \)-density convergence in probabilistic n-normed spaces and study some of their properties in probabilistic n-normed spaces. Further, a condition for equality of the sets of \(\mu \)-statistical convergent and \(\mu \)-density convergent sequences in the space have been established. The definition of \(\mu \)-statistical Cauchy sequence in the space has also been introduced and some results have been established. Finally, we propose the notion of \(\mu \)-statistical limit points in these new settings and studied some properties.
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Acknowledgements
This work has been supported by the Research Project SB/S4/MS:887/14 of SERB-Department of Science and Technology, Govt. of India.
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Haloi, R., Sen, M. (2020). \(\mu \)-Statistical Convergence of Sequences in Probabilistic n-Normed Spaces. In: Deo, N., Gupta, V., Acu, A., Agrawal, P. (eds) Mathematical Analysis I: Approximation Theory . ICRAPAM 2018. Springer Proceedings in Mathematics & Statistics, vol 306. Springer, Singapore. https://doi.org/10.1007/978-981-15-1153-0_20
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DOI: https://doi.org/10.1007/978-981-15-1153-0_20
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