Yegorov's Theorem
📂Measure TheoryYegorov's Theorem
Theorem
Let (X,E,μ) be a measure space, called μ(X)<∞. Let f be a measurable function, and {fn} be a sequence of measurable functions that converge to f almost everywhere.
fn→f a.e.
Then, for every ϵ>0, there exists a E⊂X that satisfies the following
μ(E)<ϵ and fn⇉f on Ec
Explanation
This theorem, in a nutshell, tells us that for measurable functions, pointwise convergence and uniform convergence are almost the same.
The convergence described in the theorem is also called almost uniform convergence. If the following holds, it is said that fn converges to f almost uniformly.
∀ϵ>0,∃E⊂E such that μ(E)<ϵ and fn⇉f on Ec
The following facts hold. If it converges almost uniformly,
- it converges almost everywhere.
- it converges in measure.
Proof
Without loss of generality, let’s assume fn→f for all x∈X. For k,n∈N, let’s set En(k) as follows.
En(k)=m=n⋃∞{x:∣fm(x)−f(x)∣≥k1}(1)
Then, for a fixed k satisfying En+1(k)⊂En(k) and since fn→f, the following holds.
n=1⋂∞En(k)=∅
Since it is assumed that μ(X)<∞, μ(En(k))→0 as n→∞ follows. Therefore, for the given ϵ>0 and k∈N, select a sufficiently large nk such that μ(Enk(k))<ϵ2−k. Let’s set it as E=∪k=1∞Enk(k). Then μ(E)<ϵ.
Also, if x∈/E, for all k, x∈/Enk(k), and by definition (1), the following holds.
∣fn(x)−f(x)∣<k1 for n>nk
Therefore, fn⇉f on Ec.
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