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Related papers: Rough I-statistical convergence of sequences

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The concept of I-statistical convergence of a double sequence was first introduced and study by Das et. el [2]. Here in this paper we discuss some results on rough ideal statistical convergence and also we introduce the notion of rough…

Functional Analysis · Mathematics 2019-07-09 Prasanta Malik , Argha Ghosh

In this paper we study the notion of rough $\mathcal{I}$-statistical convergence of sequences in a partial metric space as an extension work of both the notions of rough statistical and rough ideal convergence. Here we define rough…

General Topology · Mathematics 2025-11-25 Sukila Khatun , Khairul Hasan , Amar Kumar Banerjee

In this paper, using the concept of natural density, we have introduced the notion of rough statistical convergence which is an extension of the notion of rough convergence in a partial metric space. We have defined the set of rough…

General Topology · Mathematics 2024-02-23 Sukila khatun , Amar Kumar Banerjee

In this paper, we have defined rough convergence and rough statistical convergence of double sequences in probabilistic normed spaces which is more generalized version than the rough statistical convergence of double sequences in normed…

Functional Analysis · Mathematics 2023-03-20 Rahul Mondal , Nesar Hossain

Here we have studied the notion of rough $I$-convergence as an extension of the idea of rough convergence in a cone metric space using ideals. We have further introduced the notion of rough $I^*$-convergence of sequences in a cone metric…

Metric Geometry · Mathematics 2019-08-07 Amar Kumar Banerjee , Anirban Paul

In this paper, we have introduced first the notion of rough $I^*$-convergence in a normed linear space as an extension work of rough $I$-convergence and then rough $I^K$-convergence in more general way. Then we have studied some properties…

General Topology · Mathematics 2021-02-16 Amar Kumar Banerjee , Anirban Paul

In this paper we study some basic properties of rough $I$-convergent double sequences in the line of D$\ddot{u}$ndar [8]. We also study the set of all rough $I$-limits of a double sequence and relation between boundedness and rough…

Functional Analysis · Mathematics 2016-11-28 P. Malik , M. Maity , A. Ghosh

The idea of rough statistical convergence for double sequences was studied by Ozcan and Or[29] in a intuitionistic fuzzy normed space. Recently the same has been generalized in the ideal context by Hossain and Banerjee[15] for sequences.…

General Mathematics · Mathematics 2023-03-27 Rahul Mondal , Nesar Hossain

Phu introduced the idea of rough convergence of sequences in a normed linear space. Here using the idea of Phu we have brought the idea of rough convergence of sequences in a S-metric space and discussed some of its basic properties.

General Topology · Mathematics 2022-05-30 Rahul Mondal , Sukila Khatun

In this paper, using the concept of natural density, we have introduced the ideas of statistical and rough statistical convergence in an $S$-metric space. We have investigated some of their basic properties. We have defined statistical…

General Topology · Mathematics 2024-08-28 Sukila Khatun , Amar Kumar Banerjee

Here we have introduced the idea of rough convergence of sequences in a cone metric space. Also it has been investigated how far several basic properties of rough convergence as valid in a normed linear space are affected in a cone metric…

Metric Geometry · Mathematics 2018-05-28 Amar Kumar Banerjee , Rahul Mondal

Mlaiki et al.\cite{MLA} introduced the idea of controlled metric type spaces, which is a new extension of $b$-metric spaces with addition of a controlled function $\alpha(x,y)$ of the right-hand side of the $b$-triangle inequality. Phu…

General Topology · Mathematics 2023-11-03 Sukila Khatun , Amar Kumar Banerjee

In this paper we are concerned with the recent summability notion of I-statistically pre-Cauchy real double sequences in line of Das et. al. [6] as a generalization of I-statistical convergence. Here we introduce the notion of double…

Functional Analysis · Mathematics 2017-03-22 Prasanta Malik , Argha Ghosh

In this paper we have studied the notion of rough convergence of sequences in a partial metric space. We have also investigated how far several relevant results on boundedness, rough limit sets etc. which are valid in a metric space are…

General Topology · Mathematics 2022-11-08 Amar Kumar Banerjee , Sukila Khatun

In this paper, in the line of Aytar\cite{Ay2} and \c{C}olak \cite{Co}, we introduce the notion of rough statistical convergence of order $\alpha$ in normed linear spaces and study some properties of the set of all rough statistical limit…

Functional Analysis · Mathematics 2016-03-02 Manojit Maity

In this paper, we introduce the notions of I and I*-soft convergence of sequences of soft points in soft topological spaces and study some basic properties of these notions. Also we introduce the notions of I-soft limit points and I-soft…

General Topology · Mathematics 2025-12-18 Prasanta Malik , Anirban Paul

In this paper we introduce and study the notion of I-convergence of sequences in a metric-like space, where I is an ideal of subsets of the set N of all natural numbers. Further introducing the notion of I*-convergence of sequences in a…

General Topology · Mathematics 2024-08-27 Prasanta Malik , Saikat Das

We continue the study of ideal convergence for sequences $(x_n)$ with values in a topological space $X$ with respect to a family $\{F_\eta:\eta\in X\}$ of subsets of $X$ with $\eta\in F_\eta$, where each $F_\eta$ measures the allowed…

General Topology · Mathematics 2026-01-21 Paolo Leonetti

In this paper we have extended the notion of statistical limit point as introduced by Fridy[8] to I-statistical limit point of sequences of real numbers and studied some basic properties of the set of all I-statistical limit points and…

Functional Analysis · Mathematics 2018-03-21 Prasanta Malik , Argha Ghosh

Statistical convergence was introduced in connection with problems of series summation. The main idea of the statistical convergence of a sequence l is that the majority of elements from l converge and we do not care what is going on with…

General Mathematics · Mathematics 2007-05-23 Mark Burgin , Oktay Duman
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