Exact(1)
By defining a norm, particular Banach spaces of functions can be considered.
Similar(59)
Clearly, one may define a norm on C ( [ a, b ], R n ) to make it a normed vector space.
We show that if Xt is a continuous martingale with X0 = 0 then the quantity supt E Xtlog(Mt+Mt−)) defines a norm on H1 martingales equivalent to the usual norm.
We note that the expression defines a norm on.
If is a Young function, then defines a norm in, which is called the Luxemburg norm.
We define a norm, the so-called Luxemburg norm, on this space by the formula (1.4).
Now, we define a norm in E by |x|_{omega}=sup_{tgeq0}big| e^{omega t}S t)xbig|.
It is easy to show that (|cdot|_{X_{T}}) defines a norm on (X_{T}).
It is easy to verify that (3) defines a norm on (f(bar{N})).
If φ is a Young function, then || · || φ defines a norm in L φ, which is called the Luxemburg norm.
The following formula defines a norm in (L_{rho}) (frequently called Luxemburg norm): |f|_{rho} = infbigl{ alpha>0; rho(f/alpha leq1 bigr}.
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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