Proving Difficult Integral: \alpha(t) Monotonically Increasing

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Discussion Overview

The discussion revolves around proving a limit involving the integral of a monotonically increasing function \(\alpha(t)\) on the interval [0,1]. Participants explore the conditions under which the integral can be evaluated and the implications of the function's properties on the limit.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant proposes that since \(\alpha(t)\) is monotonically increasing, it is Riemann integrable and suggests using integration by parts to evaluate the limit.
  • Another participant challenges the assumption that \(d\alpha(t) = \alpha'(t)dt\), citing examples like the Devil's staircase function where the derivative is zero almost everywhere.
  • There is a discussion about the conditions required for the integration by parts formula to hold, with references to sources like "Foundations of Mathematical Analysis" and Wikipedia.
  • One participant expresses uncertainty about the implications of uniform continuity on the limit of the first integral and considers using the squeeze theorem for bounding the second integral.
  • Clarifications are made regarding the need for both functions in the integration by parts to be bounded and integrable with respect to each other.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the assumptions needed for the integration by parts formula or the implications of uniform continuity. Multiple competing views on the correct approach to the problem remain unresolved.

Contextual Notes

Participants note limitations regarding the assumptions about the differentiability of \(\alpha(t)\) and the conditions under which the integration by parts can be applied. There is also mention of the need for uniform convergence and boundedness of the functions involved.

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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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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 separately. 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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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.
 
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.
 
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.
 
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!
 
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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