
In the present study, we have constructed new Banach sequence spaces ℓ p L , c 0 L , c L , and ℓ ∞ L , where L = l v , k is a regular matrix defined by l v , k = l k / l v + 2 − v + 2 , 0 ≤ k ≤ v , 0 , k > v , for all v , k = 0 , 1 , 2 , ⋯ , where l = l k is a sequence of Leonardo numbers. We study their topological and inclusion relations and construct Schauder bases of the sequence spaces ℓ p L , c 0 L , and c L . Besides, α -, β - and γ -duals of the aforementioned spaces are computed. We state and prove results of the characterization of the matrix classes between the sequence spaces ℓ p L , c 0 L , c L , and ℓ ∞ L to any one of the spaces ℓ 1 , c 0 , c , and ℓ ∞ . Finally, under a definite functional ρ and a weighted sequence of positive reals r , we introduce new sequence spaces c 0 L , r ρ and ℓ p L , r ρ . We present some geometric and topological properties of these spaces, as well as the eigenvalue distribution of ideal mappings generated by these spaces and s -numbers.
Statistics and Probability, Theory of Banach Spaces and Operators, Exact sequence, Physics, Statistical Convergence in Approximation Theory and Functional Analysis, Application of Soft Set Theory in Decision Making, Social Sciences, Management Science and Operations Research, Banach Spaces, Decision Sciences, Sequence Spaces, Combinatorics, Physical Sciences, QA1-939, FOS: Mathematics, Banach sequence spaces, Mathematics, Mathematical Physics, Riesz operators; eigenvalue distributions; approximation numbers, \(s\)-numbers, Kolmogorov numbers, entropy numbers, etc. of operators
Statistics and Probability, Theory of Banach Spaces and Operators, Exact sequence, Physics, Statistical Convergence in Approximation Theory and Functional Analysis, Application of Soft Set Theory in Decision Making, Social Sciences, Management Science and Operations Research, Banach Spaces, Decision Sciences, Sequence Spaces, Combinatorics, Physical Sciences, QA1-939, FOS: Mathematics, Banach sequence spaces, Mathematics, Mathematical Physics, Riesz operators; eigenvalue distributions; approximation numbers, \(s\)-numbers, Kolmogorov numbers, entropy numbers, etc. of operators
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