Convergence on [-M,M] for any M implies convergence on R?

In summary, the author shows that the function h(x) is continuous on the interval R and differentiable. Next, the author is asked to show that the derivative h'(x) is continuous. However, since the derivative is not differentiable on the interval R, the author takes out the solutions manual and shows that uniform convergence of the derivative follows from the Weirerstrass M-test. Finally, the author concludes that uniform convergence of the derivative means that the function is continuous on R.
  • #1
timon
56
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Good day dear fellows. I am given the following series

[itex] h(x) = \sum_{n=1}^{\infty} \frac{1}{x^2+n^2}. [/itex]

It is requested that I show that [itex]h(x)[/itex] is continuous on R. I did the following: use the Weirerstrass M-test to show uniform convergence, and then, using the continuity of the functions that are being summed, conclude that [itex] h(x) [/itex] is continuous. The solutions manual agrees with me. So far so good.

Next I am asked whether [itex] h(x) [/itex] is differentiable, and, if [itex] h(x) [/itex] is differentiable, to investigate if the derivative [itex] h'(x) [/itex] is continuous. I note that that

[itex] \frac{d}{dx} \frac{1}{x^2+n^2} = \frac{-2x}{(x^2+n^2)^2}.[/itex]

At this point I don't see how I am going to get uniform convergence out of a summation over this thing, so I take out the solutions manual again. The manual uses the Weirerstrass M-test to show uniform convergence on [itex] [-M,M] [/itex] for arbitrary [itex]M[/itex], and concludes that there must be uniform convergence on R (because M is aribitrary). To be explicit: on any interval [itex] [-M,M] [/itex],

[itex] |\frac{2x}{x^2+n^2} | \leq \frac{2M}{n^2} [/itex].

(the square over the denominator can be removed since the denominator is greater than one).

And, since

[itex] \sum_{n=1}^{infty} \frac{2M}{n^2} [/itex]

converges on [-M,M], uniform convergence of the derivatives follows via the weirerstrass M-test. Since [itex]M[/itex] is arbitrary, we then have uniform convergence (and thus continuity) on R.

I don't see how this is so, since R is not a closed interval..
 
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  • #2
On the contrary, R is a closed interval. It is just not a bounded interval.

In any case, "convergence", in a set X, just means the series converges at every point of X. Let p be any point in R. Then there exist M such that -M< p< M. If the series converges on [-M, M] then it converges at p. Since p could be any point in R, the series converges for all R.

"Uniform convergence" would be a different matter.
 
  • #3
I think I am confused by the notation for intervals. For any finite numbers [itex] a [/itex] and [itex]b [/itex], [itex] (a,b) [/itex] is an open interval, and every closed interval can be written [itex] [c,d], [/itex] where [itex]c[/itex] and [itex]d[/itex] are its endpoints. But this isn't true for unbounded intervals? In other words, [itex] (-\infty, \infty) [/itex] is a closed interval, since it contains all it's limit points (but not its endpoints)? Endpoints of unbounded intervals are not limit points?
 

FAQ: Convergence on [-M,M] for any M implies convergence on R?

What does "convergence on [-M,M] for any M" mean?

Convergence on [-M,M] for any M means that a sequence of numbers approaches a particular limit as the numbers get larger, and this is true for any positive value of M. In other words, the sequence converges on the interval [-M,M] for any given M.

How is this different from just saying "convergence on R"?

Convergence on R means that a sequence of numbers approaches a particular limit as the numbers get larger, without any restrictions on the range of values. In contrast, convergence on [-M,M] for any M means that the sequence converges within a specific interval, regardless of the value of M.

Why is it important to specify the interval in which convergence occurs?

Specifying the interval in which convergence occurs allows us to better understand the behavior of the sequence. It also helps us make more accurate predictions and calculations based on the convergence of the sequence within a certain range of values.

Does convergence on [-M,M] for any M imply convergence on all real numbers?

Yes, convergence on [-M,M] for any M implies convergence on all real numbers. This is because the interval [-M,M] can be made arbitrarily large, meaning that the sequence will converge on all numbers within the real number line.

Are there any real-world applications of "convergence on [-M,M] for any M"?

Yes, there are many real-world applications of convergence on [-M,M] for any M. For example, it is used in economics to analyze the convergence of economic indicators such as inflation and unemployment rates. It is also used in engineering to study the convergence of numerical methods used in computer simulations. Additionally, it is a fundamental concept in calculus and is used in many mathematical and scientific fields.

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