Properties of L1, lebesgue integreable functions

Good job :) In summary, we have proven that if (X,S,u) is a measurable space and f,g are in L1, then min(f,g) is also in L1. We also showed that the integral of the minimum of two functions is greater than or equal to the minimum of the integrals of those functions. The equality holds when there are no points where the two functions are equal.
  • #1
onthetopo
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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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  • #2
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
 
  • #3
sorry about that, I've corrected question 1.

For3. Are you saying that monotonic functions satisfy equality?
 
  • #4
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?
 
  • #5
#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.
 
  • #6
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?
 
  • #7
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*}
\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,
\end{align*}[/tex]
and see where you can go from there.
 
  • #8
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*}
\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,
\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
 
  • #9
That's exactly right!
 

1. What is the definition of a Lebesgue integrable function?

A Lebesgue integrable function is a real-valued function that satisfies a specific mathematical property known as integrability, which allows it to be integrated over an interval. This means that the area under the curve of the function can be calculated using a specific integration technique, known as the Lebesgue integral.

2. How is the Lebesgue integral different from the Riemann integral?

The Lebesgue integral is a more general form of integration than the Riemann integral. While the Riemann integral focuses on partitioning the interval into smaller subintervals and calculating the area under the curve using these subintervals, the Lebesgue integral takes into account the "size" of the subintervals and allows for more flexibility in the integration process. This makes the Lebesgue integral more powerful and useful for certain types of functions.

3. What are the key properties of Lebesgue integrable functions?

The key properties of Lebesgue integrable functions include the fact that they are measurable, meaning that their domain can be divided into smaller measurable sets; they have a finite integral over a bounded interval; and they can be approximated by simple functions, which are functions that can be written as a linear combination of indicator functions on measurable sets.

4. Why are Lebesgue integrable functions important in mathematical analysis?

Lebesgue integrable functions play a crucial role in mathematical analysis because they provide a powerful tool for calculating integrals over a wide range of functions, including those that are not Riemann integrable. They also allow for a more general and flexible approach to integration, which is useful in many areas of mathematics, such as probability theory and measure theory.

5. What are some common examples of Lebesgue integrable functions?

Some common examples of Lebesgue integrable functions include continuous functions, monotonic functions, and bounded functions with a finite number of discontinuities. Other examples include the Dirichlet function, the Cantor function, and the characteristic function of a measurable set. However, it should be noted that not all functions are Lebesgue integrable, and it requires a rigorous proof to determine their integrability.

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