Extension of Lebesgue Convergence Theorem

In summary, theorem 17 states that if <gn> is a sequence of integrable functions which converges to an integrable function g, then <fn> converges to f a.e. if and only if the integral of |fn| is less than or equal to the integral of |f|.
  • #1
WHOAguitarninja
20
0

Homework Statement


This comes courtesy of Royden, problem 4.14.
a.Show that under the hypothesis of theorem 17 we have [tex]\int |fn-f| \rightarrow 0[/tex]

b.Let <fn> be a sequence of integrable functions such that [tex]fn \rightarrow f a.e.[/tex] with f integrable. Then [tex]\int |fn-f| \rightarrow 0[/tex] if and only if [tex] \int |fn| \rightarrow \int |f|[/tex]

Homework Equations


Theorem 17:
Leg <gn> be a sequence of integrable functions which converges to an integrable function g. Let <fn> be a sequence of measurable functions such that [tex] |fn|\leq gn [/tex] and <fn> converges to f a.e. If
[tex]\int g = lim \int gn[/tex]
Then
[tex]\int f = lim \int fn[/tex]



The Attempt at a Solution


My problem in part a is the same as the "if" in part b. The only if seems fairly trivial since |a-b|>=| |a| - |b| |. Unfortunately that is partially the problem. Every attempt I've made to go in the other direction reduces to that same inequality. My basic thought process far has been to start with
[tex]\int |f| = lim \int |fn| [/tex] which we have by assumption, and then conclude that for some e>0 there's an N such that
[tex]| \int |fN| - |f| |< e[/tex]

Obviously this does not get me where I want to go. If I somehow had fn as an increasing function I could keep going, but I see no real way to do this.
 
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  • #2
After poking at it a bit more, if I could establish the same inequality that I'm arriving at on my last step for the portions of f and fn where f>=fn and where f <=fn then I could get it from there. (that is, split |f|-|fn| into positive and negative portions.)
 
  • #3
Figured it out. If we define Fn to be f if f<fn and fn if fn<f, then we have that |Fn|<|f|+|fn|, which we is integrable and the limit of it's integral is 2 times the limit of the integral of |f|.
Since Fn converges a.e. to f, we then have that the integral of f is equal to the limit of the integral of Fn. Then we very quickly get that the integral of f-Fn is equal to the integral of |f-Fn| (since Fn is less than or equal to f, as well as fn) and for any n>N this is less than e. Then we also have that the limit of the integral of fn and Fn are the same, so the integral of fn-Fn converges, and is positive for every n, so the integral of |fn-Fn| is equal to it and less than e for n>m for some m. Then lastly we have that the integral of |f-fn|=integral of |f-Fn +Fn -fn| which is less than or equal to the integral of |f-Fn| + integral of |fn-Fn| which are less than e for each, so the whole thing is less than 2e, so it converges.

Sorry if that wasn't clear but my brain is now fried and I'm going to bed.:smile::zzz:
 

What is the Lebesgue Convergence Theorem?

The Lebesgue Convergence Theorem is a fundamental theorem in measure theory that states that if a sequence of functions converges in measure, then it also converges almost everywhere.

How is the Lebesgue Convergence Theorem extended?

The Lebesgue Convergence Theorem can be extended to cover cases where the sequence of functions is not necessarily monotone or non-negative, by introducing the concepts of positive and negative parts.

What is the role of the Dominated Convergence Theorem in the extension of the Lebesgue Convergence Theorem?

The Dominated Convergence Theorem plays a crucial role in the extension of the Lebesgue Convergence Theorem, as it provides a sufficient condition for the convergence of a sequence of functions in measure.

What are some applications of the Extension of Lebesgue Convergence Theorem?

The Extension of Lebesgue Convergence Theorem has various applications in probability theory, functional analysis, and other areas of mathematics. It is also used in the proof of many other important theorems in measure theory.

What are the limitations of the Extension of Lebesgue Convergence Theorem?

The Extension of Lebesgue Convergence Theorem is limited to sequences of functions that satisfy certain conditions, such as being measurable and integrable. It also does not apply to all types of convergence, such as pointwise or uniform convergence.

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