How would I prove that ln (lim (u)) = lim (ln (u))

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In summary, the conversation discusses the use of L'Hospital's rule to evaluate the limit of a continuous function as x approaches infinity. The teacher mentions that this rule always works, but they have never found a proof for it. The conversation then delves into proving the statement, with the key step being the use of the continuity of natural logarithm.
  • #1
MadViolinist
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We were working with L'hospital's rule and my teacher said that the teacher before him told him that this was true:

lim (x→∞) [ln u] = ln ( lim (x→∞) u), where u is a continuous function.

My teacher has never found a proof for this, although it works every time. Does anyone know how to prove this? Thanks!
 
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  • #2
I guess you are implicitly assuming that ##\lim_{x \rightarrow \infty}u(x)## exists, because otherwise the statement doesn't make any sense. So if we put ##L = \lim_{x \rightarrow \infty}u(x)## and ##x_n## is any sequence such that ##x_n \rightarrow \infty## as ##n \rightarrow \infty##, we have a corresponding sequence ##u_n = u(x_n)## such that ##u_n \rightarrow L## as ##n \rightarrow \infty##. We may now write
$$\ln(L) = \ln(\lim_{x \rightarrow \infty}u(x)) = \ln(\lim_{n \rightarrow \infty} u_n) = \lim_{n \rightarrow \infty} \ln(u_n) = \lim_{n \rightarrow \infty} \ln(u(x_n))$$
The third equality holds because ##\ln## is continuous at ##L##. Thus we have established that
$$\lim_{n \rightarrow \infty} \ln(u(x_n)) = \ln(L)$$
This is true for any sequence ##x_n \rightarrow \infty##, so we may conclude that
$$\lim_{x \rightarrow \infty} \ln(u(x)) = \ln(L)$$.
 
  • #3
Thanks for the answer!

However, I do not get the step where ln(limn→∞ un)=limn→∞ ( ln(un)). How did you change the order of the natural log and the limit?
 
  • #4
MadViolinist said:
Thanks for the answer!

However, I do not get the step where ln(limn→∞ un)=limn→∞ ( ln(un)). How did you change the order of the natural log and the limit?
If ##f## is any function that is continuous at ##L##, and ##\lim_{n \rightarrow \infty} u_n = L##, then ##\lim_{n \rightarrow \infty} f(u_n) = f(\lim_{n \rightarrow \infty} u_n) = f(L)##. You can prove this quite easily using the epsilon-delta definition of continuity.

Assuming that theorem, all you need is the fact that ##\ln## is continuous at ##L##, where ##L## is any real positive number. (By the way, positivity of ##L## is another assumption that needs to be added to the problem statement, otherwise the equation makes no sense.)

How to prove that ##\ln## is continuous depends on how you defined ##\ln##. One standard definition is
$$\ln(x) = \int_{1}^{x} \frac{1}{t} dt$$
If we use that definition, then
$$\begin{align}
|\ln(x+h) - \ln(x)| &= \left|\int_{1}^{x+h} \frac{1}{t} dt - \int_{1}^{x} \frac{1}{t}\right|\\
&= \left|\int_{x}^{x+h}\frac{1}{t} dt\right|\\
\end{align}$$
If ##h > 0## then we have the bound
$$\left|\int_{x}^{x+h}\frac{1}{t} dt\right| \leq \left|\int_{x}^{x+h}\frac{1}{x} dt\right| = \left| \frac{h}{x} \right|$$
which we can make as small as we like as ##h \rightarrow 0##. A similar argument holds for ##h < 0##.
 
  • #5
Thanks again!
 

1. How do you prove that ln (lim (u)) = lim (ln (u))?

To prove this statement, we can use the definition of the limit and properties of logarithms. Let us assume that u approaches a limit of L as x approaches some value a. Then, we can say that ln(u) approaches ln(L) as x approaches a. This is because the natural logarithm function is continuous, meaning it preserves limits. Therefore, we can conclude that ln(lim(u)) = lim(ln(u)).

2. Can you provide an example to illustrate this statement?

Yes, let us consider the function f(x) = ln(x). As x approaches 1, the limit of this function is ln(1) = 0. Now, if we take the natural logarithm of the limit of x, which is ln(lim(x)) = ln(1) = 0, we get the same result. Therefore, we can say that ln(lim(x)) = lim(ln(x)).

3. What is the significance of proving this statement?

This statement is significant because it shows that the natural logarithm function is continuous. Continuity is an important concept in mathematics, and it means that small changes in the input result in small changes in the output. In other words, it ensures that the behavior of the function is predictable and consistent.

4. Can this statement be generalized for other types of logarithms?

Yes, this statement can be generalized for other logarithmic functions, such as the base 10 logarithm or the logarithm with any other base. The same proof applies, as long as the base of the logarithm is positive and not equal to 1.

5. Are there any limitations to this statement?

Yes, there are some limitations to this statement. Firstly, it only applies when the limit of u exists. If the limit does not exist, then we cannot say that ln(lim(u)) = lim(ln(u)). Additionally, this statement only holds for real numbers. If we are dealing with complex numbers, the result may not be the same.

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