Your English writing platform
Discover LudwigExact(1)
In fact, the attracting set also attracts in the weaker convergence in probability, in the sense, for all ε > 0 and every bounded set B ⊂ X, lim t → ∞ P ( dist X ( φ ( t, θ − t ω ) B, A = 0. Definition 2.2 A random compact set ω ↦ A is called to be a random attractor for the RDS φ if { A } ω ∈ Ω is an attracting set and φ ( t, ω ) A = A ( θ t ω ) for ω ∈ Ω and all t ≥ 0. Theorem 2.3 (see [4]).
Similar(59)
⇀ denotes weak convergence.
Weak convergence 3.
It always has weak convergence.
Theorem 3.1 (Weak convergence theorem).
Weak convergence theorems are established.
→ for strong convergence and ⇀ for weak convergence.
Weak convergence of to is denoted by.
Now, we prove a weak convergence theorem.
We obtain a weak convergence theorem.
They obtained the following weak convergence theorem.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com