Integral , uniform convergence

In summary, this integral is not uniformly convergent and so the conclusion must be that it is not convergent either.
  • #1
Madou
42
0
I shall prove that this integral is uniformly convergent or not:

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and if it is convergent, i must describe its uniform convergence
 
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  • #2
please, say something!
 
  • #3
Ask a question first.
 
  • #4
okay
 
  • #5
Clearly it is not uniformly convergent. You can compute the integral for alpha>0 by substituting X = t/sqrt(alpha). Then you find that the integral as a function of alpha, I(alpha) = constant.

If the integral were to converge uniformly, then that implies that
I(alpha) would be a continuous function. Then it follows that, in particular, the limit for alpha to zero would be given by I(0). But
I(0) does not exist.
 
  • #6
So, one more time, this is what I'm doing - I'm inspecting for uniform convergence:
[tex] \int_{0}^{\infty}{\frac{\sqrt{\alpha}}{\sqrt{{\alpha}^{2}x^{4}+1}}dx} [/tex] where [tex]\alpha \in \ [0,1][/tex].
 
Last edited:
  • #7
Madou said:
So, one more time, this is what I'm doing - I'm inspecting for uniform convergence:
[tex] $\int_{0}^{\infty}{\frac{\sqrt{\alpha}}{\sqrt{{\alpha}^{2}x^{4}+1}}dx}$, where $\alpha \in {[0,1]}$
[/tex]

There was a mistake in my previous reply, I(0) is of course zero.

So, what you can do is show that for alpha not equal to zero, I(alpha) = constant and that this constant is not equal to zero. Then, if the integral were uniformly convergent, the limit of the integral would be the integral of the limit.

If you take the limit of alpha to zero inside the integral you get zero, if you first evaluate the integral and then take the limit you find a different result. This then proves that the integral does not converge uniformly.
 
  • #8
Well, first I'm trying to clarify the definition of the uniform convergence of the improper integral.
 
  • #9
No-no, first the definition of the uniform convergence of the funсtional series.
 
  • #10
The improper integral is the limit of the integral from zero to R for R to infinity. Let's call the integral I(R, alpha) and the limit for fixed alpha of I(R, alpha) for R to infinity I(alpha). This then means that for every epsilon there exists a Q such that for all R > Q we have:

|I(R, alpha) - I(alpha)| < epsilon

Uniform convergence means that Q can be chosen independent of alpha. You can then prove that if I(R, alpha) for fixed R is continuous as a function of alpha, then I(alpha) will also be a continuous function.
 
  • #11
So, if we define the function [itex]I(\alpha)[/itex] as

[tex]\lim_{R\rightarrow \infty}I(R,\alpha) = I(\alpha)[/tex]

and it is the case that for all R the function [itex]|I(R, \alpha)[/itex] is continuous, we want to prove that the limit function [itex]|I(\alpha)[/itex] is continuous as well, if the limit for R to infinity converges uniformly. So, we want to prove that:

[tex]\lim_{\alpha\rightarrow\beta}I(\alpha) = I(\beta)[/tex]

This means that for every [itex]\epsilon>0[/itex] there should exists a [itex]\delta[/itex], such that we have

[tex]|I(\alpha)-I(\beta)|<\epsilon[/tex]

if we choose [itex]\alpha[/itex] such that

[tex]|\alpha-\beta|<\delta[/tex]

Now, uniform convergence for the limit of R to infinity implies that we can always find an [itex]R_{0}[/itex] for which

[tex]|I(R_{0},\alpha)-I(\alpha)|<\frac{\epsilon}{3}[/tex]

is true for all [itex]\alpha[/itex].

Then because [itex]I(R_{0},\alpha)[/itex] is continuous as a function of [itex]\alpha[/itex], i.e. we have that

[tex]\lim_{\alpha\rightarrow\beta}I(R_{0}, \alpha)=I(R_{0}, \beta)[/tex]

we can thus be sure that there exists a [itex]\delta[/itex] such that:

[tex]|I(R_{0},\alpha)-I(R_{0},\beta)|<\frac{\epsilon}{3}[/tex]

is true for [itex]\alpha[/itex] in the interval

[tex]|\alpha-\beta|<\delta[/tex]

For such [itex]\alpha[/itex] we have that

[tex]|I(\alpha)-I(\beta)| <\epsilon[/tex]

because

[tex]
\begin{align*}
|I(\alpha)-I(\beta)| &= |I(\alpha) - I(R_{0},\alpha) +
I(R_{0},\alpha)-I(R_{0},\beta) + I(R_{0},\beta) - I(\beta)|\\
& \leq
|I(\alpha) - I(R_{0},\alpha)| + |I(R_{0},\alpha)-I(R_{0},\beta)| +
| I(R_{0},\beta) - I(\beta)|<\epsilon
\end{align*}
[/tex]
 
  • #12
You say
Count Iblis said:
if you first evaluate the integral and then take the limit you find a different result.
And how do i first evaluate the integral?
 
  • #13
alright, thank you, anyway - i think i have nearly solved the problem. I'll tell everyone, if i finish.
 
  • #14
Call the integral (as I did above) [itex]I(\alpha)[/itex]. Then if [itex]\alpha\neq 0[/itex] we can substitute [itex]x = \frac{t}{\sqrt{\alpha}}[/itex]. We then have:

[tex]\frac{1}{1+\alpha^{2}x^4}=\frac{1}{1+t^2}[/tex]

and

[tex]dx = \frac{dt}{\sqrt{\alpha}}[/tex]

So, the integral becomes:

[tex]I(\alpha)= \int_{0}^{\infty}\frac{\sqrt{\alpha}dx}{1+\alpha^{2}x^{4}}=\int_{0}^{\infty}\frac{dt}{1+t^4}[/tex]

So, we see that [itex]I(\alpha)[/itex] actually does not depend on[itex]\alpha[/itex]. It is a constant function. However, this is only the case for nonzero [itex]\alpha[/itex]. If [itex]\alpha=0[/itex] we have:

[tex]I(0)=\int_{0}^{\infty}\frac{0 dx}{1} = 0 [/tex]

Since

[tex]\int_{0}^{\infty}\frac{dt}{1+t^4}[/tex]

is clearly nonzero, we see that [itex]I(\alpha)[/itex] is a discontinuous function. This then contradicts uniform convergence, because of the theorem that relates uniform convergence to the limit function being continuous (see my previous posting).
 

FAQ: Integral , uniform convergence

1. What is the difference between integral and uniform convergence?

Integral convergence refers to the convergence of a sequence of functions when integrated over a specific interval, while uniform convergence refers to the convergence of a sequence of functions over an entire domain. In other words, integral convergence focuses on the behavior of a function at a specific point, while uniform convergence looks at the behavior of the entire function.

2. How do you test for uniform convergence?

The most common test for uniform convergence is the Weierstrass M-test. This test compares the absolute value of a sequence of functions to a convergent series, and if the series converges, the sequence of functions is uniformly convergent. Other tests include the Cauchy criterion and the Dini's test.

3. What is the importance of uniform convergence?

Uniform convergence is important because it ensures that the limit of a sequence of functions is the same function as the sequence itself. This allows for easier analysis and manipulation of the function, and is necessary for the interchange of limits and integrals.

4. Can a sequence of functions be both uniformly and not uniformly convergent?

No, a sequence of functions cannot be both uniformly and not uniformly convergent. Uniform convergence is a stronger condition than pointwise convergence, so if a sequence of functions is not uniformly convergent, it also cannot be pointwise convergent.

5. How does uniform convergence relate to continuity?

A sequence of continuous functions that converges uniformly to a function will result in that function also being continuous. This is known as the uniform limit theorem. However, a sequence of discontinuous functions can also converge uniformly, so uniform convergence does not guarantee continuity.

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