Tricky question Considering Divergence and Convergence

The simplest way is just to note that the sequence is strictly increasing and unbounded, so it obviously diverges to $+\infty$.
  • #1
shamieh
539
0
Determine whether the sequence Converges or Diverges.

Tricky question, so check it out.

\(\displaystyle \frac{n^3}{n + 1}\)

So here is what I did

divided out n to get

\(\displaystyle \frac{n^2}{1} = \infty \therefore\) diverges

Now, here is what someone else did. They applied L'Hopitals, and then claimed that \(\displaystyle 3n^2 = \infty\) because \(\displaystyle 3 * \infty = \infty\) , therefore diverges.

My question is this: First of all how can you apply L'Hospitals and get that result? Isn't \(\displaystyle 3 * n^2\) still indeterminate form? Also how can you do \(\displaystyle 3 * \infty\) ? \(\displaystyle \infty\) isn't a real number, it;s like your saying \(\displaystyle 3 *\) aFakeNumber...
 
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  • #2
shamieh said:
Determine whether the sequence Converges or Diverges.

Tricky question, so check it out.

\(\displaystyle \frac{n^3}{n + 1}\)

So here is what I did

divided out n to get

\(\displaystyle \frac{n^2}{1} = \infty \therefore\) diverges

Now, here is what someone else did. They applied L'Hopitals, and then claimed that \(\displaystyle 3n^2 = \infty\) because \(\displaystyle 3 * \infty = \infty\) , therefore diverges.

My question is this: First of all how can you apply L'Hospitals and get that result? Isn't \(\displaystyle 3 * n^2\) still indeterminate form? Also how can you do \(\displaystyle 3 * \infty\) ? \(\displaystyle \infty\) isn't a real number, it;s like your saying \(\displaystyle 3 *\) aFakeNumber...

Hi shamieh, :)

Both methods are correct. What both of you are using is the Limit of the Summand Test. Note that what this tells is,

If the limit of the summand is undefined or nonzero, that is $\lim_{n\rightarrow\infty}a_n\neq 0$, then the series, $\sum_{n=0}^{\infty}a_n$ must diverge.

So in this case the limit of the summand diverges which can be taking the limit directly or by using the L'Hopital's rule (more specifically the general form of L'Hopital's rule). There is some difference between indeterminate forms and undefined forms. Indeterminate forms could be categorized as those that do not give sufficient information to evaluate the limit. For example if the limiting value of a function tends to $\frac{\infty}{\infty}$ or $\infty^0$ the L'Hopital's rule can be applied as both of these are indeterminate forms. However if the limit tends to something like $\frac{1}{0}$ or $\frac{\infty}{0}$ then L'Hopital's rule cannot be applied (both limits diverges) since these are not indeterminate forms.

I hope my clarification solves your doubts. :)
 
  • #3
L'Hôpital's rule deals with limits involving differentiable functions of a real variable. So strictly speaking it cannot apply to limits of sequences – you can't differentiate functions of the (discrete) set of natural numbers. If you want to apply the rule to the sequence $\dfrac{n^3}{n+1}$, you must first replace the sequence by the function $\dfrac{x^3}{x+1}$. As Sudharaka indicates, you could then apply the rule to deduce that this function diverges to $+\infty$ as $x\to\infty$, from which it follows that the sequence also diverges. But that seems like an unnecessarily roundabout way to prove this result.
 

Related to Tricky question Considering Divergence and Convergence

1. What is the difference between divergence and convergence?

Divergence and convergence are two concepts in mathematics and science that describe the movement of a system or set of data. Divergence refers to a situation where the data or system is spreading out or becoming more varied, while convergence refers to a situation where the data or system is coming together or becoming more similar. In other words, divergence is a measure of how different things are, while convergence is a measure of how similar things are.

2. How do divergence and convergence relate to each other?

Divergence and convergence are often seen as opposite concepts, but they are actually interconnected. In some cases, divergence can lead to convergence, as different elements or data points come together to form a pattern or trend. However, too much divergence can also lead to chaos and unpredictability, which can hinder convergence. Similarly, convergence can lead to divergence as patterns or trends break apart into more varied and diverse elements. In this way, divergence and convergence are constantly influencing each other.

3. How do divergence and convergence apply to real-world scenarios?

Divergence and convergence are widely applicable in various fields, including economics, physics, biology, and computer science. For example, in economics, divergence and convergence are used to analyze market trends and predict economic growth or decline. In physics, they are used to study the behavior of particles and the flow of fluids. In biology, they are used to understand evolutionary processes and the diversity of species. In computer science, they are used to develop algorithms and models for data analysis and pattern recognition.

4. Can divergence and convergence be measured?

Yes, divergence and convergence can be measured using various mathematical and statistical methods. For example, in calculus, divergence is measured using the concept of a derivative, while convergence is measured using the concept of a limit. In statistics, measures such as standard deviation and correlation coefficients are used to quantify divergence and convergence. These measurements are essential in understanding and predicting patterns and trends in various systems and data sets.

5. How can understanding divergence and convergence benefit research and problem-solving?

By understanding divergence and convergence, scientists and researchers can better analyze and interpret data, identify patterns and trends, and make predictions. This knowledge is also crucial in problem-solving, as it allows for a deeper understanding of complex systems and processes. Additionally, understanding divergence and convergence can lead to new insights and innovations in various fields, ultimately advancing scientific knowledge and progress.

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