Moving limits in and out of functions

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Discussion Overview

The discussion revolves around the conditions under which the equivalence $$\lim_{x \to a} f(g(x)) = f(\lim_{x \to a} g(x))$$ holds true. Participants explore the role of continuity of the function f and provide examples and proofs related to this limit property.

Discussion Character

  • Exploratory
  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • Some participants suggest that the continuity of f is essential for the equivalence to hold.
  • One participant provides a specific example using the functions ##g(x)=x## and ##f(x)=0\,\forall\,x\ne 0,\, f(0)=1## to illustrate the concept.
  • Another participant requests a proof of the general case regarding the limit equivalence.
  • Several participants discuss the epsilon-delta definition of continuity and its implications for the limit equivalence.
  • One participant argues that if ##\lim_{x\to a} g(x)## exists and f is continuous, then the equivalence holds, while noting that if g does not converge, the right-hand side becomes undefined.
  • Another participant presents a detailed proof demonstrating the equivalence of the epsilon-delta definition of continuity and the limit property.
  • One participant expresses gratitude for the detailed proof and mentions using similar ideas to prove the original result involving a function ##g(x)##.

Areas of Agreement / Disagreement

Participants generally agree that continuity of f is a key factor in the limit equivalence, but there is no consensus on the broader implications or the necessity of additional conditions. The discussion includes multiple viewpoints and examples, indicating that the topic remains somewhat contested.

Contextual Notes

Some limitations include the dependence on the definitions of continuity and the specific behavior of the functions involved. The discussion does not resolve all mathematical steps or assumptions related to the limit equivalence.

Only a Mirage
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When is the following equivalence valid?

$$\lim_{x \to a} f(g(x)) = f(\lim_{x \to a} g(x))$$

I was told that continuity of f is key here, but I'm not positive.

This question comes up, for instance in one proof showing the equivalence of the limit definition of the number e to the definition of the inverse of the natural logarithm.
 
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Only a Mirage said:
I was told that continuity of f is key here, but I'm not positive.
That's the key. Try comparing ##\lim_{x \to 0} f(g(x))## against ##f(\lim_{x \to 0} g(x))## with ##g(x)=x## and ##f(x)=0\,\forall\,x\ne 0,\, f(0)=1##.
 
Thanks for the specific example.

Can you prove (or point me to the proof) of the general case?
 
That's one very reasonable definition of continuity.
 
Only a Mirage said:
Thanks for the specific example.

Can you prove (or point me to the proof) of the general case?

If you are using the [itex]\epsilon - \delta[/itex] definition of continuity, then the idea is that eventually [itex]x_n[/itex] will be within to [itex]x[/itex] and so [itex]f(x_n)[/itex] will be withi in [itex]\epsilon[/itex] of [itex]f(x)[/itex]. But this is exactly what it means for [itex]f(x_n)[/itex] to converge to [itex]f(x)[/itex].
 
Robert1986 said:
If you are using the [itex]\epsilon - \delta[/itex] definition of continuity, then the idea is that eventually [itex]x_n[/itex] will be within to [itex]x[/itex] and so [itex]f(x_n)[/itex] will be withi in [itex]\epsilon[/itex] of [itex]f(x)[/itex]. But this is exactly what it means for [itex]f(x_n)[/itex] to converge to [itex]f(x)[/itex].

What exactly do you mean by the sequence [itex]x_n[/itex] here?
 
economicsnerd said:
That's one very reasonable definition of continuity.

Interesting. But how would you show that this definition is equivalent to, for example, the epsilon-delta definition?
 
If [tex]\lim_{x\to a} g(x)[/tex] exists, and f(x) is continuous, then the statement is true. If [tex]\lim_{x\to a} g(x)[/tex] does not exist, then the right hand side does not make sense as written, so the statement cannot be true, and if f(x) is not continuous then the statement is not true by DH's example.

As for showing that [tex]\lim_{x\to a} g(x) = L[/tex] implies that [tex]\lim_{x\to a} f(g(x)) = L[/tex] when L is continuous, you should just slam it with epsilons and deltas until it works - I don't think there's a particularly clever trick
 
Only a Mirage said:
Interesting. But how would you show that this definition is equivalent to, for example, the epsilon-delta definition?
Suppose that ##f## is continuous at ##x## in the epsilon-delta sense. Let ##\epsilon > 0##. Then there is a ##\delta > 0## such that ##|f(y) - f(x)| < \epsilon## for all ##y## satisfying ##|y - x| < \delta##. Let ##(x_n)## be a sequence converging to ##x##. Then there is an ##N## such that ##|x_n - x| < \delta## for all ##n > N##. Thus for all ##n > N## we have ##|f(x_n) - f(x)| < \epsilon##. We can do this for any ##\epsilon > 0##, so this means that ##f(x_n) \rightarrow f(x)##.

Conversely, suppose that ##f(x_n) \rightarrow f(x)## for any sequence ##(x_n)## such that ##x_n \rightarrow x##. Let ##\epsilon > 0##. We claim that there is a ##\delta > 0## such that ##|f(y) - f(x)| < \epsilon## whenever ##|y - x| < \delta##. Suppose this were not the case. Then it must be true that for every ##\delta > 0##, there is some ##y## satisfying ##|y - x| < \delta## but ##|f(y) - f(x)| \geq \epsilon##. Let ##(\delta_n)## be any sequence of positive numbers converging to zero. Then we can find a sequence ##(x_n)## satisfying ##|x_n - x| < \delta_n## and ##|f(x_n) - f(x)| \geq \epsilon##. The conditions ##|x_n - x| < \delta_n## and ##\delta_n \rightarrow 0## imply that ##x_n \rightarrow x##, so our hypothesis implies that ##f(x_n) \rightarrow f(x)##. But this contradicts ##|f(x_n) - f(x)| \geq \epsilon##.
 
  • #10
jbunniii said:
Suppose that ##f## is continuous at ##x## in the epsilon-delta sense. Let ##\epsilon > 0##. Then there is a ##\delta > 0## such that ##|f(y) - f(x)| < \epsilon## for all ##y## satisfying ##|y - x| < \delta##. Let ##(x_n)## be a sequence converging to ##x##. Then there is an ##N## such that ##|x_n - x| < \delta## for all ##n > N##. Thus for all ##n > N## we have ##|f(x_n) - f(x)| < \epsilon##. We can do this for any ##\epsilon > 0##, so this means that ##f(x_n) \rightarrow f(x)##.

Conversely, suppose that ##f(x_n) \rightarrow f(x)## for any sequence ##(x_n)## such that ##x_n \rightarrow x##. Let ##\epsilon > 0##. We claim that there is a ##\delta > 0## such that ##|f(y) - f(x)| < \epsilon## whenever ##|y - x| < \delta##. Suppose this were not the case. Then it must be true that for every ##\delta > 0##, there is some ##y## satisfying ##|y - x| < \delta## but ##|f(y) - f(x)| \geq \epsilon##. Let ##(\delta_n)## be any sequence of positive numbers converging to zero. Then we can find a sequence ##(x_n)## satisfying ##|x_n - x| < \delta_n## and ##|f(x_n) - f(x)| \geq \epsilon##. The conditions ##|x_n - x| < \delta_n## and ##\delta_n \rightarrow 0## imply that ##x_n \rightarrow x##, so our hypothesis implies that ##f(x_n) \rightarrow f(x)##. But this contradicts ##|f(x_n) - f(x)| \geq \epsilon##.

Ahh... Thank you for the detailed proof! I was able to use the ideas from your proof to prove the result in my original post (basically the exact same proof, but mine involved a function ##g(x)##, whereas yours involved the sequence ##\{x_n\}##)

Anyway, thanks again! And thanks to everyone else :)
 

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