Optimize Definite Integral Function: Math Help | Yahoo Answers

In summary: Thus, at the critical value $x=0$, there is a relative extremum, and at $x=\sqrt{\pi}$, there is a local extremum.
  • #1
MarkFL
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Here is the question:

Math help please, I think it about trig.?


if g(x) = integral from 0 to x (sin(x^2)) on [0,3], then for what value g have a local minimum and for what value of x does g have a local maximum. plot the graph to verify your results.

I have posted a link there to this thread so the OP can view my work.
 
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  • #2
Hello Fourze,

We are given the function:

\(\displaystyle g(x)=\int_0^x\sin\left(t^2 \right)\,dt\)

Note: I have change the "dummy" variable of integration so that it is not the same as the upper limit. This is just considered good practice, to help avoid confusion.

So, we want to differentiate with respect to $x$, and equate the result to zero to obtain the critical numbers. We may do so using the derivative form of the FTOC:

\(\displaystyle g'(x)=\sin\left(x^2 \right)=0\)

Thus, we find:

\(\displaystyle x^2=k\pi\) where \(\displaystyle k\in\mathbb{Z}\)

Since we are given \(\displaystyle 0\le x\le3\), we take the non-negative root:

\(\displaystyle x=\sqrt{k\pi}\)

On the given domain, this is:

\(\displaystyle x=0,\,\sqrt{\pi},\,\sqrt{2\pi}\)

Now, we may use the 2nd derivative test to determine the nature of $g(x)$ associated with the critical values.

\(\displaystyle g''(x)=2x\cos\left(x^2 \right)\)

\(\displaystyle g''(0)=0\) No conclusion can be drawn.

\(\displaystyle g''\left(\sqrt{\pi} \right)<0\) This is a local maximum.

\(\displaystyle g''\left(\sqrt{2\pi} \right)>0\) This is a local minimum.

Hence, we find a local maximum at $x=\sqrt{\pi}$, and a local minimum at $x=\sqrt{2\pi}$.

Here is a plot of the function on its given domain:

View attachment 1858

In case you cannot view the attached plot, here is a link to the program used to produce the plot:

plot y=integral of sin(t^2)dt from 0 to x where x=0 to 3 - Wolfram|Alpha
 

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  • #3
I wanted to comment further about the critical value at $x=0$. Now, we can easily see that $g(x)$ is an odd function, since its derivative is even:

\(\displaystyle g'(-x)=-\sin\left(x^2 \right)=-g'(x)\)

Thus, we may conclude that at the critical value $x=0$, there is no relative or local extremum.

Consider the following:

\(\displaystyle \frac{d}{dx}\left(F(x) \right)=f(x)\)

Now, if $f(x)$ is even, we have:

\(\displaystyle \frac{d}{dx}\left(F(x) \right)=f(-x)\)

Now if we integrate:

\(\displaystyle \int\,d\left(F(x) \right)=-\int f(-x)\,-dx\)

\(\displaystyle F(x)=-F(-x)\implies F(-x)=-F(x)\)

We find the anti-derivative is odd.

And likewise if the derivative of a function is odd:

\(\displaystyle \frac{d}{dx}\left(F(x) \right)=f(x)\)

\(\displaystyle \frac{d}{dx}\left(F(x) \right)=-f(-x)\)

Now if we integrate:

\(\displaystyle \int\,d\left(F(x) \right)=\int f(-x)\,-dx\)

\(\displaystyle F(x)=F(-x)\)

We find the anti-derivative is even.
 

FAQ: Optimize Definite Integral Function: Math Help | Yahoo Answers

What is a definite integral function?

A definite integral function is a mathematical concept that calculates the area under a curve or between two points on a graph. It is represented by ∫f(x)dx and is used to find the total amount or value of a continuous quantity.

How do you optimize a definite integral function?

To optimize a definite integral function, you need to find the maximum or minimum value of the function within a given range. This can be done by taking the derivative of the function, setting it equal to zero, and solving for the critical points. Then, evaluate the function at these points to determine the maximum or minimum value.

Why is optimizing a definite integral function useful?

Optimizing a definite integral function can be useful in many real-world applications, such as finding the maximum profit or minimum cost for a business, determining the maximum or minimum amount of a resource needed for a project, or finding the optimal solution to a problem in engineering or physics.

What are the common techniques for optimizing a definite integral function?

The most common techniques for optimizing a definite integral function include using the first or second derivative test, the Mean Value Theorem, or the Fundamental Theorem of Calculus. Other methods such as substitution or integration by parts may also be used depending on the complexity of the function.

Are there any limitations to optimizing a definite integral function?

Yes, there are limitations to optimizing a definite integral function. The function must be continuous and differentiable over the given range, and the endpoints of the range must be finite. In addition, some functions may be too complex to optimize using traditional methods and may require numerical or computational techniques.

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