Integral Convergence Theorem (limit of integrals)

In summary, the conversation is about solving a problem using the Integral Convergence Theorem. The participants discuss how to deal with the function g(x) and how to begin the proof. They also mention the use of the extreme value theorem and the concept of supremum. Finally, they use the property that sup AB is less than or equal to sup A sup B to solve the problem.
  • #1
kingwinner
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0

Homework Statement


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Homework Equations


The Attempt at a Solution


I think it is related to the integral convergence theorem.
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But how can we deal with the function g(x)? Is this problem supposed to be a direct use of the theorem or do we have to start the proof from scratch? How should we begin the proof?

Any help is appreciated!
 
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  • #2
You can use the Integral convergence theorem right after you show t_n(x) = f_n(x)g(x) converges uniformly to f(x)g(x).
 
  • #3
OK, so we need to show that sup|f_n(x)g(x)-f(x)g(x)|->0.

sup|f_n(x)g(x)-f(x)g(x)|≤sup|f_n(x)-f(x)|+sup|g(x)|

How can we deal with sup|g(x)|?
 
  • #4
Sorry, how did you get the second line? Shouldn't the Right hand side be the product of those two terms, not the sum.
 
  • #5
oops...you're right.
|f_n(x)g(x)-f(x)g(x)|=|f_n(x)-f(x)||g(x)|

How can we show sup|f_n(x)g(x)-f(x)g(x)|->0 then?
 
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  • #6
Look at both the terms on the right hand side. The first you know something about f_n and f to help you, and the extreme value theorem says that since g is an element of C[0,1], it attains a maximum value in that interval as well.
 
  • #7
OK, that makes sense. But how can we handle the supremum? Will our bounds be preserved after taking the supremum? Why or why not?
 
  • #8
The extreme value theorem states g(x) attains both a maximum and a minimum in [0,1]. Do you understand why sup |g(x)| = max{ |min g(x)| , |max g(x)| } ?

Which ever one of them it is, let it be a constant A.

Since f_n converges uniformly to f, you know that for a chosen positive chosen, let it be [itex]\epsilon / A[/itex], then [itex]|f_n (x) - f(x) | < \epsilon / A[/itex] for sufficiently large values of n.

Put this together, there's not much left to finish the question.
 
  • #9
But is it necessarily true that
sup{|f_n(x)f(x)||g(x)|} = sup{|f_n(x)f(x)|} sup{|g(x)|} ??
 
  • #10
No, but you have learned that for two sets A and B, and their product set AB

sup AB is less or equal to sup A sup B. You can use that to finish this question.
 

1. What is the Integral Convergence Theorem?

The Integral Convergence Theorem is a mathematical concept that states that under certain conditions, the limit of a sequence of integrals is equal to the integral of the limit of the sequence. In other words, it describes the behavior of integrals as the number of terms in the sequence approaches infinity.

2. What are the conditions for the Integral Convergence Theorem to hold?

The two main conditions for the Integral Convergence Theorem are that the integrand must be continuous and the interval of integration must be finite. Additionally, the integrand must also be non-negative, and the sequence of integrals must be bounded.

3. How does the Integral Convergence Theorem relate to the Divergence Test?

The Integral Convergence Theorem is a more general version of the Divergence Test. The Divergence Test is used to determine whether an infinite series converges or diverges, while the Integral Convergence Theorem applies specifically to integrals. If the integrand is non-negative and the sequence of integrals is bounded, the Integral Convergence Theorem guarantees that the series converges.

4. Can the Integral Convergence Theorem be applied to improper integrals?

Yes, the Integral Convergence Theorem can be applied to improper integrals, as long as the integrand satisfies the conditions mentioned above. However, in these cases, the limit of the integral must also exist for the theorem to hold.

5. How is the Integral Convergence Theorem used in real-world applications?

The Integral Convergence Theorem has many practical applications in fields such as physics, engineering, and economics. For example, it can be used to determine the total distance traveled by an object with varying velocity over a given time period, or the total cost of production over a certain time period with changing production rates.

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