Using Dirichlet's test for uniform convergence

In summary: R and all n in N. Therefore, by comparison test, \sum 2^n / (2^n + x^2) converges. But \sum 2^n / (2^n + x^2) = \sum 1, which diverges. Hence, by the Cauchy Condensation Test, it follows that \sum a_n also diverges. Therefore, in summary, we have shown that \sum(-1)^(n+1) / (n + x^2) converges uniformly on R but does not converge absolutely on R.
  • #1
cchatham
5
0

Homework Statement


Show that [tex]\sum[/tex](-1)^(n+1) / (n + x^2) converges uniformly but not absolutely on R.


Homework Equations


Using Dirichlet's Test for uniform convergence. (fn) and (gn) are sequences of functions on D satisfying:
[tex]\sum[/tex] fn has uniformly bounded partial sums
gn -> 0 uniformly on D
g(n+1)(x) [tex]\leq[/tex] gn(x) for all x in D and all n in N


The Attempt at a Solution


I got parts a) and c) down since obviously (-1)^(n+1) is uniformly bounded by 1 and 1 / (n+1+x^2) < 1 / (n + x^2) for all x in R and all n in N. I'm having trouble showing that 1 / (n+x^2) is uniformly convergent on R. I tried using Weierstrass' M-test but can't seem to make that work.
 
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  • #2




Thank you for your post.

To show that \sum(-1)^(n+1) / (n + x^2) converges uniformly on R, we can use Dirichlet's Test for uniform convergence.

First, we can see that (-1)^(n+1) is uniformly bounded by 1 for all n in N and all x in R.

Next, we need to show that the sequence of functions (1 / (n + x^2)) converges to 0 uniformly on R. To do this, we can use the Weierstrass M-test.

Let M_n = 1 / (n + x^2). Then, for all x in R and all n in N, we have M_n < 1 / n. Since \sum 1 / n converges, by the Weierstrass M-test, \sum M_n also converges uniformly on R.

Finally, we need to show that g(n+1)(x) \leq gn(x) for all x in R and all n in N.

Let g_n(x) = 1 / (n + x^2). Then, g(n+1)(x) = 1 / (n+1 + x^2) and gn(x) = 1 / (n + x^2). Since n+1 > n, we have g(n+1)(x) \leq gn(x) for all x in R and all n in N.

Therefore, by Dirichlet's Test for uniform convergence, we can conclude that \sum(-1)^(n+1) / (n + x^2) converges uniformly on R.

To show that the series does not converge absolutely on R, we can use the Cauchy Condensation Test.

Let a_n = 1 / (n + x^2). Then, a_n+1 = 1 / (n+1 + x^2).

By the Cauchy Condensation Test, if \sum 2^n a_2^n converges, then \sum a_n also converges.

But \sum 2^n a_2^n = \sum 2^n / (2^n + x^2).

Since 2^n + x^2 > 2^n for all x in R and all n in N, we have
 

FAQ: Using Dirichlet's test for uniform convergence

What is Dirichlet's test for uniform convergence?

Dirichlet's test is a mathematical theorem used to determine the uniform convergence of a series. It states that if a series of functions satisfies two conditions: 1) the partial sums of the series are uniformly bounded, and 2) the sequence of partial sums converges uniformly to a continuous function, then the series is uniformly convergent.

How do you use Dirichlet's test to determine uniform convergence?

To use Dirichlet's test, first check if the partial sums of the series are uniformly bounded, meaning they do not increase without bound. Then, check if the sequence of partial sums converges uniformly to a continuous function. If both conditions are satisfied, then the series is uniformly convergent.

Can Dirichlet's test be used for series with negative terms?

Yes, Dirichlet's test can be used for series with negative terms as long as the two conditions are met. The terms do not have to be positive or monotonically decreasing for the test to be applicable.

What is the difference between uniform convergence and pointwise convergence?

Uniform convergence means that the series converges at every point in the domain of the function, and the convergence is independent of the point. Pointwise convergence, on the other hand, means that the series converges at each individual point in the domain, but the convergence may vary depending on the point.

Can Dirichlet's test be used to determine absolute convergence?

No, Dirichlet's test only applies to determine uniform convergence. To determine absolute convergence, other tests such as the comparison test or the ratio test should be used.

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