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Discover LudwigThe phrase "sure convergence" is correct and usable in written English.
It is typically used in mathematical contexts, particularly in probability theory and statistics, to describe a type of convergence of random variables. Example: "The sequence of random variables converges in distribution, but we need to show that it also exhibits sure convergence to establish the desired properties."
Exact(60)
' denotes almost sure convergence.
The (overset {a.s.}longrightarrow ) represents almost sure convergence.
where (xrightarrow {a.s.}) denotes the almost sure convergence.
representsalmost sure convergence which is uniform in and.
where (overset {a.s.}) denotes the almost sure convergence.
The same results hold for almost sure convergence.
Almost sure convergence to a Nash equilibrium is proved for diminishing step sizes.
In view of the Borel-Cantelli lemma, complete convergence implies almost sure convergence.
We study almost sure convergence for -mixing sequences of random variables.
Therefore, the complete convergence is a very important tool in establishing almost sure convergence.
We first show the almost sure convergence of (x t)) to zero as (trightarrowinfty).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com