Statistical Convergence in Function Spaces | Zendy

Agata Caserta | Zendy; Giuseppe Di Maio | Zendy; Ljubiša D. R. Kočinac | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Statistical Convergence in Function Spaces

Author(s) -

Agata Caserta,

Giuseppe Di Maio,

Ljubiša D. R. Kočinac

Publication year - 2011

Publication title -

abstract and applied analysis

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.228

H-Index - 56

eISSN - 1687-0409

pISSN - 1085-3375

DOI - 10.1155/2011/420419

Subject(s) - mathematics , convergence (economics) , metric space , modes of convergence (annotated index) , function (biology) , metric (unit) , function space , uniform convergence , pure mathematics , normal convergence , rate of convergence , topological space , topological vector space , computer science , computer network , channel (broadcasting) , operations management , bandwidth (computing) , evolutionary biology , isolated point , economics , biology , economic growth

We study statistical versions of several classical kinds of convergence of sequences of functions between metric spaces (Dini, Arzelà, and Alexandroff) in different function spaces. Also, we discuss a statistical approach to recently introduced notions of strong uniform convergence and exhaustiveness

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research