Properties of L1, lebesgue integreable functions

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Homework Help Overview

The discussion revolves around properties of L1 Lebesgue integrable functions, specifically focusing on the minimum of two functions in L1, the relationship between their integrals, and conditions for equality in certain cases.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants explore the proof that min(f,g) is in L1, with some suggesting the use of the comparison theorem. Questions arise regarding the conditions under which equality holds in the integral comparisons and the implications of monotonicity.

Discussion Status

The discussion is active, with participants providing insights and corrections. Some guidance has been offered regarding the proof structure and conditions for equality, while multiple interpretations of the questions are being explored.

Contextual Notes

Participants note the importance of the functions being nonnegative for certain proofs and the need for clarity in the original problem statement. There is an emphasis on understanding the behavior of functions at specific points to determine equality conditions.

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Homework Statement


(X,S,u) is measur space, f,g are in L1. Prove that:
1.min(f,g) is in L1
2.[tex]min(\int(fdu),\int(gdu))\geq\int(min(f,g)du)[/tex]
3. when does equality hold?

The attempt at a solution
1.Since both f,g are in L1, and min must be one of the f or g, both of which are in L1, thus min (f,g) is in L1.
2.Star with simple functions and extend to limit?
3. Guess: equality hold if f=g
 
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Question 1 isn't asking if min(f,g) is in L1... actually, I'm not really sure what it's asking, since you didn't post a function. was it supposed to be min(f,g)?

For 2, notice that f>=min(f,g) so
[tex]\int fdu \geq \int min(f,g) du[/tex]

and the same for g.

For 3, equality holds under a much broader class of conditions... try drawing some functions on R like x, x2, 8, and sin(x) and try some comparisons. Or you can try to glean it from the proof of 2
 
sorry about that, I've corrected question 1.

For3. Are you saying that monotonic functions satisfy equality?
 
Only if sin(x) is monotonic :p

Try drawing the graphs y=sin(x) and y=8 and see if it satisfies equality. Then try the same for y=sin(x) and y=1/2. What's the difference?
 
#1 Is a little more complicated than your proof, because which function is the minimum may change from point to point. Think about f(x)=x and g(x)=x^2.
 
Office_Shredder said:
Only if sin(x) is monotonic :p

Try drawing the graphs y=sin(x) and y=8 and see if it satisfies equality. Then try the same for y=sin(x) and y=1/2. What's the difference?

I see, so the equality holds when there doesn't exist any x such that f(x)=g(x). , ie, they never cross, but how show rigorously that this is the condition?Regarding question 1. I think the proof is a one-liner using the comparison theorem, since if we can show|min(f,g)|<|f|, then since f is in L1, by comparison min(f,g) must also be in L1. The only problem is that in order to show |min(f,g)|<|f|, don't we need both f and g to be nonnegative?
 
Yes, for that you would need f, g >= 0. Try this: let [tex]E = \{ x | f(x) \leq g(x) \}[/tex],
so
[tex]\begin{align*}<br /> \int |\min ( f, g )| d\mu = \int_E |\min ( f, g )| d\mu + \int_{ E^c } |\min ( f, g )| d\mu = \int_E |f| d\mu + \int_{ E^c } |g| d\mu,<br /> \end{align*}[/tex]
and see where you can go from there.
 
rochfor1 said:
Yes, for that you would need f, g >= 0. Try this: let [tex]E = \{ x | f(x) \leq g(x) \}[/tex],
so
[tex]\begin{align*}<br /> \int |\min ( f, g )| d\mu = \int_E |\min ( f, g )| d\mu + \int_{ E^c } |\min ( f, g )| d\mu = \int_E |f| d\mu + \int_{ E^c } |g| d\mu,<br /> \end{align*}[/tex]
and see where you can go from there.

E is a measurable set, let x be the characteristic function, then
|f|xE is in L1
|g|xEc is in L1
and |f|xE+|g|xEc=|min(f,g)| is in L1
thus min (f,g) is in L1
QED
please tell me this is right, exam is next week, thanks
 
That's exactly right!
 

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