L infinity space
📂Lebesgue SpacesL infinity space
Definitions
Let Ω⊂Rn be called an open set. For a measurable function u on Ω, if there exists a constant K that satisfies the following condition for u, then u is said to be essentially bounded on Ω.
∣u(x)∣≤K a.e. on Ω
Here, a.e. means almost everywhere.
The supremum of such K is called the essential supremum of ∣u∣ and is denoted as follows.
x∈Ωess sup∣u(x)∣:=inf{K:∣u(x)∣≤K a.e. on Ω}
The set of all functions u that are essentially bounded on Ω is defined as L∞(Ω).
L∞(Ω):={u:u is essentially bounded on Ω}
Explanation
L∞ space is read as L infinity space.
‘Saying almost everywhere bounded’ essentially means ‘frankly bounded’, ‘putting it plainly bounded’, so it makes sense to say ’essentially bounded’. Especially in the space Lp, since it’s about integration, if it’s bounded almost everywhere, it’s essentially bounded literally.
Meanwhile, the L∞ space becomes a norm space, and the defined essential supremum can be used as is.
∥u∥∞=x∈Ωess sup∣u(x)∣,u∈L∞(Ω)
It is not difficult to verify this actually being a norm. The important fact is, as you can guess from the notation, that this really is the same as the limit of ∥u∥p. If for p<∞, u∈L∞∩Lp then
∥u∥∞=p→∞lim∥u∥p
Moreover, the Hölder’s inequality and its corollaries that were valid for 1<p,p′<∞ are extended to hold for p=1,p′=∞ and p=∞,p′=1 respectively.
Hölder’s Inequality
Consider two constants 1≤p≤∞,1≤p′≤∞ satisfying the following expression.
p1+p′1=1(or p′=p−1p)
If u∈Lp(Ω), v∈Lp′(Ω) then uv∈L1(Ω) and the inequality below holds.
∥uv∥1=∫Ω∣u(x)v(x)∣dx≤∥u∥p∥v∥p′