Your English writing platform
Discover LudwigExact(60)
Let be a complete probability space.
Let ((Omega, mathfrak{F},P)) be a complete probability space.
Let ((Omega,xi,mu)) be a complete probability measure space.
Let ((Omega,mathcal {F},P)) be a complete probability space and (Hin 0,1)) be given.
Let (( {Omega,mathcal{F},mathbb{P}})) be a complete probability space.
Let ((Omega,mathscr{F},mathbb{P})) be a complete probability space.
Theorem 3.2 Let X be a separable Banach space and be a complete probability measure space.
Let (left (Omega,mathcal {F},mathbf {P}right)) be a complete probability space.
Let ((Omega,mathcal {F},P)) be a complete probability space and let W be a d-dimensional Brownian motion.
Let ((Omega,mathcal{F},P)) be a complete probability space equipped with a normal filtration (mathcal{F}_{t}), (t in[0, b]).
Let ((Omega,mathcal{F},mathbb{P})) be a complete probability space with a natural filtration ({mathcal{F}_{t}}_{tgeq0}) satisfying the usual conditions.
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