Convergence theorems for graph sequences

ON CONVERGENCE THEOREMS FOR FUZZY HENSTOCK INTEGRALS

The main purpose of this paper is to establish different types of convergence theorems for fuzzy Henstock integrable functions, introduced by  Wu and Gong cite{wu:hiff}. In fact, we have proved fuzzy uniform convergence theorem, convergence theorem for fuzzy uniform Henstock integrable functions and fuzzy monotone convergence theorem. Finally, a necessary and sufficient condition under which th...

Convergence Theorems for Partial Sums of Arbitrary Stochastic Sequences

The Convergence Theorems for Mixing Random Variable Sequences

B R . c o v ( ( , ) , ( , )) 0 i j f X i A g X j B    , whenever the covariance exists. An infinite family of random variables {X ,1 } i i    is said to be NA if every finite subfamily is NA. Definition 2. A finite family of random variables {X ,1 } i i n   is said to be   -mixing if for any finite subsets , S T N  , ( ) su p { ( , ); ( , ) } 0 , s S T d is t S T s s         ...

Strong Convergence Theorems for Strongly Relatively Nonexpansive Sequences and Applications

The aim of this paper is to establish strong convergence theorems for a strongly relatively nonexpansive sequence in a smooth and uniformly convex Banach space. Then we employ our results to approximate solutions of the zero point problem for a maximal monotone operator and the fixed point problem for a relatively nonexpansive mapping.

Convergence Theorems for -Nonexpansive Mappings in CAT(0) Spaces

In this paper we derive convergence theorems for an -nonexpansive mappingof a nonempty closed and convex subset of a complete CAT(0) space for SP-iterative process and Thianwan's iterative process.