Convergence of fn: R->R to f: R->R

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In summary, the given conversation discusses the function fn : R \rightarrow R defined as \frac{1}{n^3 [x-(1/n)]^2+1} and the zero function f : R \rightarrow R. It is shown that fn(x) \rightarrow f(x) for each x \in R, but fn does not converge uniformly to f. This disproves the converse of Theorem 21.6, which states that if a sequence of continuous functions converges uniformly, then the limit function is also continuous. The proof involves calculating the terms of the sequence and choosing an x that shows the convergence is not uniform.
  • #1
tomboi03
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Let fn : R [tex]\rightarrow[/tex] R be the function
fn= [tex]\frac{1}{n^3 [x-(1/n)]^2+1}[/tex]

Let f : R [tex]\rightarrow[/tex] R be the zero function.
a. Show that fn(x) [tex]\rightarrow[/tex] f(x) for each x [tex]\in[/tex] R
b. Show that fn does not converge uniformly to f. (This shows that the converse of Theorem 21.6 does not hold; the limit function f may be continuous even though the convergence is not uniform.)

a. I'm not sure...
is f(x) equivalent to f1(x)?
If it is... then... the function would be...
[tex]\frac{1}{[x-1]^2+1}[/tex]
[tex]\frac{1}{x^2-2x+2}[/tex]
but I'm not sure how to show fn(x) [tex]\rightarrow[/tex] f(x) for each x [tex]\in[/tex] R
b. Theorem 21.6 states,
" let fn: X[tex]\rightarrow[/tex] Y be a sequence of continuous functions from the topological space X to the metric space Y. If (fn) converges uniformly to f, then f is continuous. "

The converse of this is...
"If f is continuous, then (fn) converges uniformly to f. "

i don't know how to prove a function is not convergent.

Can someone help me?
Thank You
 
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  • #2
ad a) I would say, just multiply out the brackets in the denominator and look at what happens if you take [tex]\lim_{n\rightarrow \infty} f_{n}(x) [/tex] for fixed [tex] x [/tex].
ad b) Uniform convergence means, that [tex] \sup_{x\in \mathbb{R}} |f_{n}(x)-f(x)| \rightarrow 0[/tex]. Now try to choose your x such that you see, that this does not happen (you should see what to do by looking at the demoninator).
 
  • #3
tomboi03 said:
Let fn : R [tex]\rightarrow[/tex] R be the function
fn= [tex]\frac{1}{n^3 [x-(1/n)]^2+1}[/tex]

Let f : R [tex]\rightarrow[/tex] R be the zero function.
a. Show that fn(x) [tex]\rightarrow[/tex] f(x) for each x [tex]\in[/tex] R
b. Show that fn does not converge uniformly to f. (This shows that the converse of Theorem 21.6 does not hold; the limit function f may be continuous even though the convergence is not uniform.)

a. I'm not sure...
is f(x) equivalent to f1(x)?
If it is... then... the function would be...
[tex]\frac{1}{[x-1]^2+1}[/tex]
[tex]\frac{1}{x^2-2x+2}[/tex]
I'm not clear what you mean by "equivalent" here. I would recommend calculating a few more terms :
[tex]f_2(x)= \frac{1}{8(x- 1/2)^2+ 1}= \frac{1}{8x^2- 8x+ 3}[/tex]
[tex]f_3(x)= \frac{1}{27(x- 1/3)^2+ 1}= \frac{1}{27x^2- 18x+ 4}[/tex]

but I'm not sure how to show fn(x) [tex]\rightarrow[/tex] f(x) for each x [tex]\in[/tex] R
Surely, it is not all that difficult to calculate the general
[tex]f_n(x)= \frac{1}{n^3(x- 1/n)^2+ 1}= \frac{1}{n^3(x^2- (2/n)x+ 1/n^2+ 1}[/tex]

b. Theorem 21.6 states,
" let fn: X[tex]\rightarrow[/tex] Y be a sequence of continuous functions from the topological space X to the metric space Y. If (fn) converges uniformly to f, then f is continuous. "

The converse of this is...
"If f is continuous, then (fn) converges uniformly to f. "
Yes, and you are asked to prove that is not true.

i don't know how to prove a function is not convergent.
That is NOT what you are asked to prove. You are told that this sequence of functions is convergent. You are asked to show that the convergence is not "uniform". That is, you must show that the N in "Given any [itex]\epsilon[/itex]> 0, there exist N such that if n> N, the [itex]|f_n(x)- f(x)|< \epsilon[/itex] must depend on x.

an someone help me?
Thank You
 

FAQ: Convergence of fn: R->R to f: R->R

What does "convergence of fn: R->R to f: R->R" mean?

The phrase "convergence of fn: R->R to f: R->R" refers to a sequence of functions, or a series of functions, that converges to a particular function. In other words, as the sequence of functions progresses, it approaches the limiting function, f, which is the function that the sequence converges to. This convergence can be thought of as the functions getting closer and closer to f, but never quite reaching it.

What is the importance of studying convergence of fn: R->R to f: R->R?

The study of convergence of functions is important in many areas of mathematics, including analysis, calculus, and differential equations. It allows us to understand the behavior of functions and their limits, and is essential in proving many important theorems and properties of functions.

How is the convergence of fn: R->R to f: R->R related to continuity?

The convergence of fn: R->R to f: R->R is closely related to the concept of continuity. A function f is continuous at a point x if and only if the limit of the sequence of functions fn at x is equal to f(x). In other words, if the sequence of functions converges to f at x, then f is continuous at x. This relationship is fundamental in understanding the behavior of continuous functions.

Can the convergence of fn: R->R to f: R->R be visualized?

Yes, the convergence of functions can be visualized using graphs. As the sequence of functions progresses, the graphs of the functions get closer and closer to the graph of the limiting function f. This can be seen in the "zooming in" effect on the graph, as the functions get closer and closer to f but never actually touch it.

Are there different types of convergence for functions?

Yes, there are different types of convergence for functions, including pointwise convergence and uniform convergence. Pointwise convergence is when the sequence of functions converges to the limiting function f at each individual point, while uniform convergence is when the sequence of functions converges to f at every point simultaneously. Uniform convergence is considered a stronger form of convergence and has important applications in analysis and calculus.

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