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单词 ProofOfExistenceOfTheEssentialSupremum
释义

proof of existence of the essential supremum


Suppose that (Ω,,μ) is a σ-finite measure space and 𝒮 is a collectionMathworldPlanetmath of measurable functionsMathworldPlanetmath f:Ω¯. We show that the essential supremumMathworldPlanetmath of 𝒮 exists and furthermore, if it is nonempty then there is a sequence fn𝒮 such that

esssup𝒮=supnfn.

As any σ-finite measureMathworldPlanetmath is equivalentMathworldPlanetmathPlanetmathPlanetmathPlanetmathPlanetmath to a probability measure (http://planetmath.org/AnySigmaFiniteMeasureIsEquivalentToAProbabilityMeasure), we may suppose without loss of generality that μ is a probability measure. Also, without loss of generality, suppose that 𝒮 is nonempty, and let 𝒮 consist of the collection of maximums of finite sequences of functions in 𝒮. Then choose any continuousMathworldPlanetmathPlanetmath and strictly increasing θ:¯. For example, we can take

θ(x)={x/(1+|x|),if |x|<,1,if x=,-1,if x=-.

As θ(f) is a boundedPlanetmathPlanetmathPlanetmath and measurable function for all f𝒮, we can set

α=sup{θ(f)𝑑μ:f𝒮}.

Then choose a sequence gn in 𝒮 such that θ(gn)𝑑μα. By replacing gn by the maximum of g1,,gn if necessary, we may assume that gn+1gn for each n. Set

f=supngn.

Also, every gn is the maximum of a finite sequence of functions gn,1,,gn,mn in 𝒮. Therefore, there exists a sequence fn𝒮 such that

{f1,f2,}={gn,m:n1,1mmn}.

Then,

f=supnfn.

It only remains to be shown that f is indeed the essential supremum of 𝒮.First, by continuity of θ and the dominated convergence theorem,

θ(f)𝑑μ=limnθ(gn)𝑑μ=α.

Similarly, for any g𝒮,

θ(fg)=limnθ(gng)𝑑μα.

It follows that θ(fg)-θ(f) is a nonnegative function with nonpositive integral, and so is equal to zero μ-almost everywhere. As θ is strictly increasing, fg=f and therefore fg μ-almost everywhere.

Finally, suppose that g:Ω¯ satisfies gh (μ-a.e.) for all h𝒮. Then, gfn and,

gsupnfn=f

μ-a.e., as required.

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更新时间:2025/5/4 5:04:25