I think this is a dominated convergence theorem question

In summary, the integral expression given is trying to determine when it will be zero. A mathematician explained that if the function P(ω) decays faster than 1/w, the limit can be brought inside the integral and the expression will be zero. This is based on the Dominated Convergence Theorem, which states that the function must be dominated by an integrable function. The original statement is incorrect unless there is a condition on P, and the simplest condition to achieve 0 is for P to be an even function.
  • #1
thrillhouse86
80
0
Hey All,

I have the following integral expression:
[tex]
y = lim_{h\to0^{+}} \frac{1}{2\pi} \left\{\int^{\infty}_{-\infty} P(\omega)\left[e^{i\omega h} - 1 \right] \right\} \Bigg/ h
[/tex]

And I am trying to understand when this expression will be zero.

I was talking to a mathematician who said that if P(w) decays faster than 1/w then the limit can be brought inside the integral and then the expression will be zero. His explanation for this was that by the "Dominated Theorem of Convergence" as long as the decay rate of the integrand is faster than ln(w) then the resulting decay is fast enough that it dominates the integral and the limit can be brought inside.

I was looking at the wikipedia page for this http://en.wikipedia.org/wiki/Dominated_convergence_theorem

which says:

Suppose that the sequence converges pointwise to a function ƒ and is dominated by some integrable function g in the sense that
[tex]
|f_n(x)| \le g(x)
[/tex]

for all numbers n in the index set of the sequence and all points x in S. Then ƒ is integrable and
[tex]
\lim_{n\to\infty} \int_S f_n\,d\mu = \int_S f\,d\mu.
[/tex]

is my case that the P(w) function must be less than some square integrable function that decays faster than 1/w, because anything higher i.e. 1/w^2, 1/w^3 etc... will be square integrable ? (and as far as applied mathematicians / engineers are concerned anything with decay rate faster than 1/w is square integrable)

Thanks
 
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  • #2
Your original statement is incorrect unless you have some condition on P, which you haven't stated.

Assuming for example that P is bounded and non-zero on a finite interval, then you can take the limit under the integral sign and the integrand becomes iωP(ω). The integral can be anything. The simplest condition on P to get 0 is to assume P is an even function.
 
  • #3
Thanks mathman,

I think I expressed the question wrong. I don't really care (for the purposes of this post) about when the expression will be zero, I am more interested in understanding what the mathematician was talking about with the theorem of dominated convergence.

Lets say the function meets your conditions of being bounded and non zero in some interval. Was my description that you need the function being integrated to be 'integrable' (greater than the g(x) function as discussed in wikipedia) (and hence need it to have decay greater than 1/w) in order to bring the limit inside the integral ?

Thanks
 
  • #4
The dominant convergence in this case requires |P(ω)ω| be dominated by an integrable function.
 
  • #5
Thanks Mathman
 

Related to I think this is a dominated convergence theorem question

1. What is the dominated convergence theorem?

The dominated convergence theorem is a fundamental theorem in measure theory and real analysis that allows for the interchange of limit operations and integration under certain conditions. It is often used to prove the convergence of integrals involving sequences of functions.

2. How does the dominated convergence theorem differ from the monotone convergence theorem?

The dominated convergence theorem and the monotone convergence theorem are related but distinct theorems. While the dominated convergence theorem requires a dominating function to prove the convergence of an integral, the monotone convergence theorem does not. Additionally, the monotone convergence theorem only applies to monotone sequences of functions, while the dominated convergence theorem applies to a wider range of sequences.

3. What are the conditions for the dominated convergence theorem to hold?

The dominated convergence theorem requires three conditions to hold: pointwise convergence of the sequence of functions, uniform boundedness of the sequence of functions, and the existence of a dominating function that is integrable.

4. How is the dominated convergence theorem used in practice?

The dominated convergence theorem is often used in mathematical analysis and statistics to prove the convergence of integrals involving sequences of functions. It is also used in physics and engineering to study the behavior of physical systems.

5. Can the dominated convergence theorem be extended to sequences of random variables?

Yes, the dominated convergence theorem can be extended to sequences of random variables, known as the dominated convergence theorem for random variables. This version of the theorem is a fundamental tool in probability theory and is used to prove the convergence of expectations and other statistical quantities.

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