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(3) ((E,F)) is said to be average complete if each average Cauchy sequence in E converges averagely to some point in E. .
((E,F)) is said to be average complete if each average Cauchy sequence in E converges averagely to some point in E. We denote by (x_{n}rightarrow x) that ({x_{n}}) converges to x.
A sequence { x n } in E is called an average Cauchy sequence if lim n, m → ∞ ∫ 0 + ∞ t d F x n, x m ( t ) = 0. ( E, F ) is said to be average complete if each average Cauchy sequence in E converges averagely to some point in E. We denote by x n ⇒ x the { x n } that converges averagely to x. Theorem 2.1 Let ( E, F ) be a S-probabilistic metric space.
(1) A sequence { x n } in E is said to converges averagely to x ∈ E if lim n → ∞ ∫ 0 + ∞ t d F x n, x ( t ) = 0. (2) A sequence { x n } in E is called an average Cauchy sequence if lim n, m → ∞ ∫ 0 + ∞ t d F x n, x m ( t ) = 0. (3) ( E, F ) is said to be average complete if each average Cauchy sequence in E converges averagely to some point in E. .
The team now leads the league in earned-run average, complete games, saves, and fewest hits and runs and home runs allowed.
While this procedure allows one to average complete trajectories, it results in the loss of absolute temporal information.
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