Mean value theorem for integrals

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Discussion Overview

The discussion revolves around the mean value theorem for integrals, particularly its intuition and application. Participants explore the theorem's implications for continuous functions and seek to evaluate a specific integral, \(\int_{0}^{2}e^{x^{2}}dx\), discussing methods for approximation and understanding the lack of an elementary antiderivative.

Discussion Character

  • Exploratory
  • Technical explanation
  • Mathematical reasoning
  • Homework-related

Main Points Raised

  • One participant expresses confusion about the intuition behind the mean value theorem for integrals, questioning how a single point \(c\) can represent the "average height" of the function over the interval.
  • Another participant suggests that rearranging the mean value theorem for integrals shows that the function must achieve its average value on the interval, which may help clarify the intuition.
  • Multiple participants discuss the integral \(\int_{0}^{2}e^{x^{2}}dx\), noting that it does not have an elementary antiderivative and proposing the use of Taylor expansion for approximation.
  • A participant shares results from using a Taylor series expansion to approximate the integral, providing numerical estimates based on the number of terms summed.
  • One participant presents a diagram to illustrate the relationship between the integral and the function values at the endpoints, suggesting that there exists a point \(c\) in the interval such that the integral equals \(f(c) \times (2-0)\).

Areas of Agreement / Disagreement

Participants do not reach a consensus on the intuition behind the mean value theorem for integrals, as some express confusion while others attempt to clarify. The discussion on the integral \(\int_{0}^{2}e^{x^{2}}dx\) reveals multiple approaches and approximations, indicating a lack of agreement on a definitive method for evaluation.

Contextual Notes

The discussion highlights limitations in understanding the mean value theorem's implications and the challenges in evaluating the integral due to the absence of an elementary antiderivative. The reliance on Taylor series expansion introduces assumptions about convergence and the number of terms needed for accuracy.

Yankel
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Hello all,

I have a couple of questions.

First, about the mean value theorem for integrals. I don't get it. The theorem say that if f(x) is continuous in [a,b] then there exist a point c in [a,b] such that

\[\int_{a}^{b}f(x)dx=f(c)\cdot (b-a)\]

Now, I understand what it means (I think), but don't get the intuition (unlike the mean value theorem which is very intuitive). The integral is the area under f(x) between a and b. So how come it is equal to the height of f(x) at the point c, multiplied by the width ? How come there is a point c that represent the "average height" ?

The second question, I need to approximately evaluate

\[\int_{0}^{2}e^{x^{2}}dx\]

the answer is [2,2e^4], don't know why...

Thanks!
 
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Yankel said:
Hello all,

I have a couple of questions.

The second question, I need to approximately evaluate

\[\int_{0}^{2}e^{x^{2}}dx\]

the answer is [2,2e^4], don't know why...

The function $\displaystyle y=e^{x^{2}}$ doesn't have an elementary antiderivative, but a way to solve the integral is to use the Taylor expansion... $\displaystyle e^{x^{2}} = \sum_{n=0}^{\infty} \frac{x^{2 n}}{n!}\ (1)$

... and from (1) You obtain... $\displaystyle \int_{0}^{\xi} e^{x^{2}}\ dx = \sum_{n=0}^{\infty} \frac{\xi^{2 n + 1}}{(2n + 1)\ n!}\ (2)$ ... and a 'good' value of the integral can be obtained summin a 'large enough' number of terms of (2)...

Kind regards

$\chi$ $\sigma$
 
View attachment 1160

My diagram is intended to show that \displaystyle f(0)\times (2-0)< \int_0^2 e^{x^2}dx < f(2) \times (2-0)

Can you see that \displaystyle \int_0^2 e^{x^2}dx = f(c) \times (2-0) for some c in [0,2]?
 

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chisigma said:
The function $\displaystyle y=e^{x^{2}}$ doesn't have an elementary antiderivative, but a way to solve the integral is to use the Taylor expansion... $\displaystyle e^{x^{2}} = \sum_{n=0}^{\infty} \frac{x^{2 n}}{n!}\ (1)$

... and from (1) You obtain... $\displaystyle \int_{0}^{\xi} e^{x^{2}}\ dx = \sum_{n=0}^{\infty} \frac{\xi^{2 n + 1}}{(2n + 1)\ n!}\ (2)$ ... and a 'good' value of the integral can be obtained summin a 'large enough' number of terms of (2)...

Using 'Monster Wolfram' You obtain...

$\displaystyle \int_{0}^{2} e^{x^{2}}\ dx \sim 16.4396\ \text{with 10 terms}$

$\displaystyle \int_{0}^{2} e^{x^{2}}\ dx \sim 16.4515\ \text{with 12 terms}$

$\displaystyle \int_{0}^{2} e^{x^{2}}\ dx \sim 16.4526\ \text{with infinite terms}$

Kind regards

$\chi$ $\sigma$
 
If you rearrange the MVT for integrals, you get that if $f$ is continuous on $[a,b]$, then there exists $c\in [a,b]$ such that
$$f(c)= \frac{1}{b-a} \int_{a}^{b}f(x) \, dx.$$
In words, $f$ must achieve (LHS) its average value on $[a,b]$ (RHS). Because $f$ is continuous, it's not allowed to skip its average value on the interval. Does that help with the intuition?
 

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