Uniform Convergence of f{_n} in Complex Analysis on S=[0,infinity)

In summary, the given function f_n tends to 0 as n approaches infinity and is not uniformly convergent due to the maximum at x = 1/n. To show that f_n -> 0, for a given x_0 in [0,infinity), it can be shown that f_n(x_0) < epsilon for all n greater than a certain value.
  • #1
Poirot1
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Let S=[0,infinity) and let f{_n}(z)=n^2ze^-(nz) Show that f{_n} -> 0. Is the function uniformly convergent? Sorry about it being unclear but TEX tags don't see to work. f{_n} means f subscript n. Thanks
 
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  • #2
Poirot said:
Let S=[0,infinity) and let f{_n}(z)=n^2ze^-(nz) Show that f{_n} -> 0. Is the function uniformly convergent? Sorry about it being unclear but TEX tags don't see to work. f{_n} means f subscript n. Thanks

If f(*) is defined in $[0,\infty)$ that means that it is a function of real variable x, so that is...

$\displaystyle f_{n}(x)= n^{2}\ x\ e^{-n x}$ (1)

If we consider an $x_{0} \in [0;\infty)$ and a $\varepsilon>0$ it exists an $n_{0}$ for which $\forall n>n_{0}$ is $f_{n}(x_{0})<\varepsilon$ so that $f_{n} \rightarrow 0$. Each $f_{n}(x)$ however has a maximum in $x=\frac{1}{n}$ and here is $f_{n}(\frac{1}{n})= \frac{n}{e}$ that increases without limit with n so that the function doesn't converges uniformly...

Kind regards

$\chi$ $\sigma$
 
  • #3
Thanks, how would you show

\displaystyle f_{n}(x)= n^{2}\ x\ e^{-n x} tends to 0?
 
  • #4
Poirot said:
Thanks, how would you show
\displaystyle f_{n}(x)= n^{2}\ x\ e^{-n x} tends to 0?

For $x=x_{0} \in [0,\infty)$ is $\displaystyle f_{n}(x_{0})= n^{2}\ x_{0}\ e^{- n x_{0}}$ so that for an $\varepsilon >0$ it will be $\displaystyle f_{n}(x_{0})<\varepsilon\ \forall n>\frac{2 \ln n -\ln \varepsilon}{\ln x_{0}}$...

Kind regards

$\chi$ $\sigma$
 
  • #5


I can confirm that the function f{_n}(z)=n^2ze^-(nz) converges to 0 as n approaches infinity. This can be seen by taking the limit as n approaches infinity, which results in the function approaching 0 regardless of the value of z. However, in order for the function to be uniformly convergent, it must converge to 0 at a uniform rate for all values of z in the interval S=[0,infinity). In this case, the function does not converge uniformly as the rate of convergence depends on the value of z. Therefore, we can conclude that the function is not uniformly convergent on the interval S=[0,infinity).
 

FAQ: Uniform Convergence of f{_n} in Complex Analysis on S=[0,infinity)

What is uniform convergence in complex analysis?

Uniform convergence in complex analysis refers to the convergence of a sequence of complex functions, fn, on a given domain, S=[0,∞), such that the rate of convergence is independent of the specific point in the domain. In other words, the sequence converges uniformly if it converges to the same limit at every point in the domain, as opposed to pointwise convergence where the limit may vary at different points.

How is uniform convergence different from pointwise convergence?

Uniform convergence and pointwise convergence are two different types of convergence for sequences of functions. Pointwise convergence means that for each point in the domain, the sequence converges to a limit at that specific point. In contrast, uniform convergence means that the sequence converges to the same limit at every point in the domain. This means that the rate of convergence is independent of the specific point in the domain for uniform convergence, while it may vary for pointwise convergence.

What is the significance of uniform convergence in complex analysis?

Uniform convergence is important in complex analysis because it guarantees that the limit function is also continuous on the given domain, S=[0,∞). This is because uniform convergence ensures that the rate of convergence is uniform across the entire domain, making it possible to interchange the limit and integral operations. This allows for easier analysis and manipulation of complex functions and their limits.

How is the uniform convergence of fn determined on a given domain?

The uniform convergence of a sequence of functions, fn, on a given domain, S=[0,∞), can be determined using the Cauchy criterion. This criterion states that for a sequence to converge uniformly, the difference between the function and its limit at each point in the domain must be smaller than a given value, no matter how small, for all but a finite number of terms in the sequence. If this criterion is satisfied, then the sequence is said to converge uniformly on the given domain.

What is the relationship between uniform convergence and continuity in complex analysis?

The relationship between uniform convergence and continuity in complex analysis is that uniform convergence guarantees that the limit function is continuous on the given domain, S=[0,∞). This is because uniform convergence ensures that the rate of convergence is uniform across the entire domain, making it possible to interchange the limit and integral operations. This allows for easier analysis and manipulation of complex functions and their limits, as well as ensuring the continuity of the limit function.

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