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Rough weighted 𝓘-limit points and weighted 𝓘-cluster points in θ-metric space

  • Sanjoy Ghosal EMAIL logo and Avishek Ghosh
Published/Copyright: May 23, 2020
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Abstract

In 2018, Das et al. [Characterization of rough weighted statistical statistical limit set, Math. Slovaca 68(4) (2018), 881–896] (or, Ghosal et al. [Effects on rough 𝓘-lacunary statistical convergence to induce the weighted sequence, Filomat 32(10) (2018), 3557–3568]) established the result: The diameter of rough weighted statistical limit set (or, rough weighted 𝓘-lacunary limit set) of a sequence x = {xn}n∈ℕ is 2rlim infnAtn if the weighted sequence {tn}n∈ℕ is statistically bounded (or, self weighted 𝓘-lacunary statistically bounded), where A = {k ∈ ℕ : tk < M} and M is a positive real number such that natural density (or, self weighted 𝓘-lacunary density) of A is 1 respectively. Generally this set has no smaller bound other than 2rlim infnAtn. We concentrate on investigation that whether in a θ-metric space above mentioned result is satisfied for rough weighted 𝓘-limit set or not? Answer is no. In this paper we establish infinite as well as unbounded θ-metric space (which has not been done so far) by utilizing some non-trivial examples. In addition we introduce and investigate some problems concerning the sets of rough weighted 𝓘-limit points and weighted 𝓘-cluster points in θ-metric space and formalize how these sets could deviate from the existing basic results.


The research of the second author is supported by Jadavpur University, Kolkata-700032, West Bengal, India



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  1. Communicated by Tomasz Natkaniec

Acknowledgement

We are thankful to the Editor and Referees for their careful reading of the paper and several valuable suggestions which improved the quality and presentation of the paper.

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Received: 2019-04-03
Accepted: 2019-10-22
Published Online: 2020-05-23
Published in Print: 2020-06-25

© 2020 Mathematical Institute Slovak Academy of Sciences

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