Uniform convergence - Series of functions

In summary, the given series is not uniformly convergent, as there exist points x for which the terms of the series do not converge uniformly.
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Homework Statement


[tex]\mbox{Check whether } \sum_{n=0}^\infty \frac {1}{e^{|x-n|}} \mbox{ is uniform convergent where its normaly convergent}[/tex]

The Attempt at a Solution



[tex]\mbox{I choose } \epsilon = 1/2[/tex]

[tex]a_n=\frac {1}{e^{|x-n|}}\ ,\ b_n= \frac {1}{n^2}[/tex]

[tex]\lim_{n\rightarrow\infty} \frac {a_n}{b_n}=0\ \Rightarrow\ \sum_{n=0}^\infty a_n \mbox{ is convergent for all x \in R.}[/tex]

[tex]f_k(x)=\sum_{n=0}^{k} a_n\ ,\ f(x)=\lim_{k\rightarrow\infty} \sum_{n=0}^{k} a_n[/tex]

[tex]x_n=n\Rightarrow\\sup_{x_n \in R} |f_k(x_n)-f(x_n)|\geq\sum_{n=k+1}^\infty \frac {1} {e^{|n-n|}}=1>\epsilon\ \Rightarrow \mbox{ is not uniformly convergent \inR}[/tex]

What do you think?
[I left out technical details to present my idea more clearly.]
 
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Your attempt at a solution is incorrect. The given series is not uniformly convergent, since there exist points x for which the series does not converge uniformly. To show this, you should take an x such that the terms of the series oscillate in sign near x. For example, if x is an integer, then the series will have an alternating pattern of positive and negative terms near x. This means that the partial sums of the series will oscillate in sign, so the series does not converge uniformly.
 

FAQ: Uniform convergence - Series of functions

What is uniform convergence in a series of functions?

Uniform convergence is a property of a series of functions, where the limit of the sequence of functions approaches the same value at every point in the domain. In simpler terms, as the terms of the series get closer and closer to their limit, the difference between the limit and each term becomes smaller and smaller.

How is uniform convergence different from pointwise convergence?

Pointwise convergence refers to the convergence of each individual function in the series at each point in the domain. In contrast, uniform convergence takes into account the convergence of the entire sequence of functions at all points in the domain, not just at individual points. This means that uniform convergence is a stronger form of convergence than pointwise convergence.

What is the importance of uniform convergence in analysis?

Uniform convergence is important in analysis because it allows us to interchange limits and integrals, which is a fundamental tool in many areas of mathematics and science. It also ensures that the limit function is continuous, which is crucial in many applications.

How can we determine if a series of functions is uniformly convergent?

To determine if a series of functions is uniformly convergent, we can use the Cauchy criterion, which states that if the series of functions satisfies the condition that for any positive number Ɛ there exists a positive integer N such that for all n ≥ N and all x in the domain, the difference between the nth term and the limit function is less than Ɛ, then the series is uniformly convergent.

Can a series of non-continuous functions be uniformly convergent?

Yes, a series of non-continuous functions can be uniformly convergent. Uniform convergence only requires that the limit of the sequence of functions is continuous, not necessarily that each individual function in the series is continuous. As long as the Cauchy criterion is satisfied, the series can be uniformly convergent.

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