Proving Difficult Integral: \alpha(t) Monotonically Increasing

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In summary, the conversation discusses the proof of the equation \lim_{n \rightarrow \infty} \int_0^1 t^n d\alpha(t)=\alpha(1)-\alpha(1-) where \alpha(1-)=\lim_{t \rightarrow 1^{-}} \alpha(t) and \alpha(t) is monotonically increasing on [0,1]. The conversation mentions the use of the theorem that requires \alpha ' to be Riemann integrable, and the need to be more careful and use a different equation. It also discusses the conditions for the first equation given and suggests using the squeeze theorem to prove the second equation. Finally, a reference is provided for a more reliable source for
  • #1
sparkster
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Let [itex]\alpha(t)[/itex] be monotically increasing on [0,1]. Prove that
[itex]\lim_{n \rightarrow \infty} \int_0^1 t^n d\alpha(t)=\alpha(1)-\alpha(1-)[/itex] where [itex]\alpha(1-)=\lim_{t \rightarrow 1^{-}} \alpha(t)[/itex].

Here's what I have so far. I know that [itex]\alpha(t) [/itex] is monotonically increasing, so it has at most countably many points of discontinuity. So it is continuous almost everywhere which implies that it is Riemann integrable. That means that [itex]\int_0^1 t^n d\alpha(t)=\int_0^1 t^n \alpha ' (t) dt[/itex] where the second integral is just a plain Riemann integral.

Then integrating by parts with [itex]u=t^n[/itex] and [itex]dv=\alpha ' (t)dt[/itex], I get that [itex]\int_0^1 t^n d\alpha(t)=\int_0^1 t^n \alpha ' (t) dt= \alpha(1) - \int_0^1 \alpha(t) n t^{n-1} dt[/itex]. This is where I'm stuck. I can't get that [itex]\lim_{n \rightarrow \infty} \int_0^1 \alpha(t) n t^{n-1} dt = \alpha(1-) [/itex] In fact, it looks like it should blow up to me.

Any help would be appreciated.
 
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  • #2
You can't assume [itex]d\alpha(t)=\alpha'(t)dt[/itex]. For example, if [itex]\alpha(t)[/itex] is a http://en.wikipedia.org/wiki/Devil%27s_staircase" function, its derivative is zero where it's defined (almost everywhere). However it is true that:

[tex]\int_a^b f(x) dg(x)=f(b)g(b)-f(a)g(a)-\int_a^b g(x) df(x)[/tex]

This gives the same result, but you should be more careful. You can write:

[tex]\int_0^1 \alpha(t) n t^{n-1} dt = \int_0^a \alpha(t) n t^{n-1} dt + \int_a^1 \alpha(t) n t^{n-1} dt [/tex]

where 0<a<1. Since addition is continuous (and assuming everything converges), you can take the limits of each integral on the RHS seperately. The limit of the first integral is zero by uniform conintuity. So try to bound the second one, taking a limit as a->1 at the end.
 
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  • #3
I see. The theorem I was trying to use requires that [itex]\alpha '[/itex] is Riemann integrable. What are the conditions for the first equation you gave? Either I don't remember it, or it's not in baby Rudin (and I'm guessing on the former).

Also, and I'm sorry for asking, how does uniform continuity give the first one 0? For the second one, I should try to bound it above and below and apply the squeeze theorem?

Analysis has always been my weakest area, so thanks for trying to help me.
 
  • #4
According to wikipedia that identity is true whenever either of the integrals exist, but I'll try to find a more reliable source.

Next, I meant uniform convergence, sorry. This can be proved using the fact that alpha is bounded and a<1. Finally, yes, the squeeze theorem should work for the other one.
 
  • #5
StatusX said:
According to wikipedia that identity is true whenever either of the integrals exist, but I'll try to find a more reliable source.

It's in Foundations of Mathematical Analysis, Johnsonbaugh and Pfaffenberger theorem 53.3 (it's in google book search if you don't have it). It requires f and g to be bounded, and f to be integrable with respect to g (g integrable w.r.t. f follows).

Baby rudin has a couple integration by parts, but I don't think one as general as this.
 
  • #6
StatusX said:
Next, I meant uniform convergence...
Now that makes sense. Thanks.

shmoe said:
It's in Foundations of Mathematical Analysis, Johnsonbaugh and Pfaffenberger theorem 53.3 (it's in google book search if you don't have it). It requires f and g to be bounded, and f to be integrable with respect to g (g integrable w.r.t. f follows).

Baby rudin has a couple integration by parts, but I don't think one as general as this.
Thanks!
 
  • #7
shmoe said:
It's in Foundations of Mathematical Analysis, Johnsonbaugh and Pfaffenberger theorem 53.3 (it's in google book search if you don't have it). It requires f and g to be bounded, and f to be integrable with respect to g (g integrable w.r.t. f follows).

Baby rudin has a couple integration by parts, but I don't think one as general as this.

Yea, that sounds right. Thanks.
 
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FAQ: Proving Difficult Integral: \alpha(t) Monotonically Increasing

What is a monotonically increasing function?

A monotonically increasing function is a mathematical function where the output (y-value) increases as the input (x-value) increases. In other words, as the values of the independent variable increase, the values of the dependent variable also increase or stay the same.

Why is proving a difficult integral for a monotonically increasing function important?

Proving a difficult integral for a monotonically increasing function is important because it can help us understand the behavior of the function and its relationship with other functions. It can also help in finding the exact value of the integral, which can have practical applications in various fields of science and engineering.

How do you prove that a function is monotonically increasing?

To prove that a function is monotonically increasing, we need to show that the slope of the function is always positive. This can be done by taking the derivative of the function and showing that it is always positive or by using the Mean Value Theorem to show that the function is increasing between any two points.

What are some challenges in proving a difficult integral for a monotonically increasing function?

One of the main challenges in proving a difficult integral for a monotonically increasing function is finding the appropriate method of integration. In some cases, the integral may not have a closed form solution, making it difficult to evaluate. Another challenge could be dealing with functions that are not strictly increasing, but only weakly increasing.

Are there any general strategies for proving difficult integrals for monotonically increasing functions?

Yes, there are a few general strategies that can be used to prove difficult integrals for monotonically increasing functions. These include using substitution, integration by parts, and trigonometric identities. It is also helpful to break down the integral into smaller parts and use properties of monotonically increasing functions, such as the Mean Value Theorem, to simplify the problem.

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