A sequence of functions evaluated at a sequence

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What are the rules if you have a sequence f_n of real-valued functions on \mathbb R and consider the sequence f_n(x_n), where x_n is some sequence of real numbers that converges: x_n \to x. All I have found is an exercise in Baby Rudin that says that if f_n \to f uniformly on E, then f_n(x_n) \to f(x) if x_n \to x is in E. But the exercise seems to indicate that it is possible to have f_n(x_n) \to f(x) for every sequence x_n\to x without having f_n \to f uniformly. (I believe the canonical example f_n(x) = x^n on E = [0,1] works here.)

I ask because I recently had a colleague who claimed that if x_n \to x, then \left( 1 + \frac{x}{n} \right)^n \to e^x. She asked what the rule that made this possible was, and I replied that I wasn't sure if it was, in fact, true, since f_n(x) = \left( 1 + \frac xn \right)^n obviously does not converge uniformly to e^x on \mathbb R (even though, obviously, f_n \to e^x pointwise).
 
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For ##n## large enough:

##f_n(x_n)## is close to ##e^{x_n}##; and ##x_n## is close to ##x## so ##e^{x_n}## is close to ##e^x##
 
PeroK said:
For ##n## large enough:

##f_n(x_n)## is close to ##e^{x_n}##; and ##x_n## is close to ##x## so ##e^{x_n}## is close to ##e^x##
So is it always true that if f_n \to f pointwise and x_n \to x, then f_n(x_n) \to f(x)?
 
AxiomOfChoice said:
So is it always true that if f_n \to f pointwise and x_n \to x, then f_n(x_n) \to f(x)?

Why don't you try to prove it?

Hint: Does ##f_n(x)## converge uniformly to ##e^x## on any bounded interval?
 
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PeroK said:
Why don't you try to prove it?

Hint: Does ##f_n(x)## converge uniformly to ##e^x## on any bounded interval?
Ok, I think I see the strategy you are suggesting. Since \{ x_n \} is bounded (since it converges), we have -M \leq x_n \leq M for all n and for some M. I can restrict my attention to [-M,M]. On that interval, \left( 1 + \frac xn \right)^n converges uniformly to e^x, and I can apply the result of the Baby Rudin exercise.
 
Here is what I have so far. I have decided to confine my attention to ##[0,\infty)##. Suppose ##f_n \to f## uniformly on a set ##E##, where each ##f_n## is continuous. (The latter is a hypothesis I inadvertently omitted from my previous posts.) Let ##\{ x_n \}## be a sequence of points in ##E## with ##x_n \to x##. Then, given ##\epsilon > 0##, there exists ##N \in \mathbb N## such that ##n > N## implies ##|f_n(x) - f(x)| < \epsilon/2## for all ##x\in E## and ##|f(x_n) - f(x)| < \epsilon/2##, since the limit function ##f## is continuous. Then for ##n > N##,

##|f_n(x_n) - f(x)| < |f_n(x_n) - f(x_n)| + |f(x_n) - f(x)| < \frac{\epsilon}{2} + \frac{\epsilon}{2} = \epsilon##.

The terms of ##\{ x_n \}## are bounded; suppose they are contained in an interval ##[-M,M]##. Then

##M_n = \sup_{x\in [-M,M]} \left| \left(1 + \frac{x}{n} \right)^n - e^x \right|##

is a decreasing sequence bounded from below by ##0##; hence it converges to ##0##; hence ##\left( 1 + \frac{x}{n} \right)^n \to e^x## uniformly on ##[-M,M]##, which is what we wanted.
 

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