Limit as n-> infinity with integral - Please check

In summary, the limit as n approaches infinity of the integral of (e^(x^4))/n from 0 to 1 is equal to 0. This is proven by considering a sequence of continuous functions that converge pointwise and uniformly, leading to the conclusion that the integral itself is a constant value divided by n, which approaches 0 as n approaches infinity.
  • #1
James LeBron
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Limit as n-> infinity with integral -- Please check

Homework Statement



Compute [tex]\lim_{n \to \infty} \int_{0}^{1} \frac{e^{x^4}}{n} dx.[/tex]

Homework Equations



We can put the limit inside the integral as long as a function is continuous on a bounded interval, such as [0,1].

The Attempt at a Solution



I have a solution, and am just curious if I am using the right facts and/or rationale.

We consider a sequence of continuous functions [tex]f_{n} = \frac{e^{x^4}}{n}[/tex] for [tex]x \in [0,1][/tex]. Since [tex]\lim_{n \to \infty} \frac{e^{x^4}}{n} = 0[/tex], then [tex]f_{n}[/tex] converges pointwise to [tex]f(x) = 0[/tex].

Now we prove it converges uniformly. For a given [tex]\epsilon > 0[/tex], there exists [tex]N = \frac{e}{\epsilon}[/tex] such that whenever [tex]n > N[/tex], we have [tex]|f_{n} - f| = |\frac{e^{x^4}}{n} - 0| < \epsilon.[/tex]. We derived the value of [tex]N[/tex] by knowing that since [tex]x \in [0,1][/tex], that [tex]\frac{e^{x^4}}{n} \le \frac{e}{n}[/tex].

Now we can just compute [tex]\int_{0}^{1} \lim_{n \to \infty} \frac{e^{x^4}}{n} dx.[/tex]. This is just zero.

So what do you think?
 
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  • #2


Looks okay. :smile:Just as an observation.

Since n is constant within the integral, you can move it outside of the integral.
The integral itself is fully determined and will have some constant value.
Dividing this constant value by n will approach zero, so the limit is 0.

$$\lim_{n \to \infty} \int_{0}^{1} \frac{e^{x^4}}{n} dx = \lim_{n \to \infty} \frac 1 n \int_{0}^{1} e^{x^4} dx = \lim_{n \to \infty} \frac 1 n C = 0$$
 

FAQ: Limit as n-> infinity with integral - Please check

What does it mean when we take the limit as n approaches infinity with an integral?

When we take the limit as n approaches infinity with an integral, we are essentially evaluating the behavior of a function as it approaches an infinite number of values. In other words, we are determining how the function behaves as the input (n) becomes infinitely large.

How is this type of limit different from a regular limit?

This type of limit is different from a regular limit because it involves evaluating the behavior of a function over a range of values, rather than just at a specific point. This allows us to analyze the overall trend or behavior of the function as it approaches infinity, rather than just at a single point.

What are some common techniques for evaluating limits as n-> infinity with integrals?

Some common techniques for evaluating limits as n-> infinity with integrals include using the Fundamental Theorem of Calculus, using substitution or u-substitution, and using the Squeeze Theorem. It is also important to understand the properties of integrals, such as linearity and the Mean Value Theorem, to help with evaluating these types of limits.

Can we use L'Hopital's rule to evaluate limits as n-> infinity with integrals?

No, L'Hopital's rule cannot be directly applied to limits as n-> infinity with integrals. L'Hopital's rule is used for evaluating limits of indeterminate forms, where the limit of the numerator and denominator both approach 0 or infinity. In the case of limits with integrals, the limit of the function is already defined as infinity, so L'Hopital's rule cannot be used.

What are some real-world applications of evaluating limits as n-> infinity with integrals?

Evaluating limits as n-> infinity with integrals has many real-world applications, such as in economics, physics, and statistics. For example, it can be used to analyze the long-term behavior of a population growth model, the behavior of a particle's position over time, or the overall trends in a data set. It is a useful tool for understanding and predicting the behavior of systems that involve continuously changing variables.

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