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Almost convergence of complex uncertain double sequences
Author(s) -
Birojit Das,
Binod Chandra Tripathy,
Piyali Debnath,
Baby Bhattacharya
Publication year - 2021
Publication title -
filomat
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.449
H-Index - 34
eISSN - 2406-0933
pISSN - 0354-5180
DOI - 10.2298/fil2101061d
Subject(s) - mathematics , sequence (biology) , cauchy distribution , converse , convergence (economics) , cauchy sequence , limit of a sequence , cauchy's convergence test , variable (mathematics) , distribution (mathematics) , combinatorics , pure mathematics , discrete mathematics , mathematical analysis , geometry , free boundary problem , genetics , cauchy boundary condition , limit (mathematics) , economics , biology , boundary value problem , economic growth
Convergence of real sequences, as well as complex sequences are studied by B. Liu and X. Chen respectively in uncertain environment. In this treatise, we extend the study of almost convergence by introducing double sequences of complex uncertain variable. Almost convergence with respect to almost surely, mean, measure, distribution and uniformly almost surely are presented and interrelationships among them are studied and depicted in the form of a diagram. We also define almost Cauchy sequence in the same format and establish some results. Conventionally we have, every convergent sequence is a Cauchy sequence and the converse case is not true in general. But taking complex uncertain variable in a double sequence, we find that a complex uncertain double sequence is a almost Cauchy sequence if and only if it is almost convergent. Some suitable examples and counter examples are properly placed to make the paper self sufficient.

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