MHB Non-continuous integrals and discrete variables

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The discussion revolves around calculating the average value of \(x\) using a given function \(f(x)\) defined on the interval [0, 10] and zero elsewhere. The correct approach involves evaluating the integrals from 0 to 10, as the function is zero outside this range, making the integrals from \(-\infty\) to \(\infty\) unnecessary. The average value is expressed as \(\bar{x} = \frac{\int_{0}^{10} x f(x) \, dx}{\int_{0}^{10} f(x) \, dx}\). Additionally, the second part of the problem requires calculating \(\bar{x}\) for discrete values of \(x\) from 0 to 10, highlighting the difference between continuous and discrete variables. Normalization of the function is also essential to ensure accurate calculations of the expectation value.
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Quantum Phys Homework:
I am given a function:
$$f(x)=\frac{1}{10}(10-x)^2\,;\,0\leq{x}\leq{10}$$
and
$$f(x)=0$$
for all other \(x\).
I need to find the average value of \(x\) where
$$\bar{x}=\frac{\int_{-\infty}^{\infty}x\,f(x)\,dx}{\int_{-\infty}^{\infty}f(x)\,dx}$$
I am not really even sure where to start with this. If the denominator is equal to zero for every value through the integral except for 0 to 10, would I just be able to change it (just the denominator) to
$$\int_{0}^{10}f(x)\,dx$$
I don't think the same would apply for the numerator, because the function is multiplied by \(x\), making it a different function, which is possibly still integratable from \(-\infty\) to \(\infty\).
But wait, there's more. Part (b) is asking to suppose that the variable \(x\) is discrete rather than continuous. Assume \(\Delta{x}=1\) so that \(x\) takes on only integral values 0, 1, 2, ..., 10. Then I need to compute \(\bar{x}\) again and compare to the first part.
So I think after doing part (a), I could maybe know how to attack part (b) if I knew what a discrete variable was...I've never taken a class that ever dealt with discrete variables so I am kind of in the dark here. Any guidance would be very appreciated.
 
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skatenerd said:
Quantum Phys Homework:
I am given a function:
$$f(x)=\frac{1}{10}(10-x)^2\,;\,0\leq{x}\leq{10}$$
and
$$f(x)=0$$
for all other \(x\).
I need to find the average value of \(x\) where
$$\bar{x}=\frac{\int_{-\infty}^{\infty}x\,f(x)\,dx}{\int_{-\infty}^{\infty}f(x)\,dx}$$
I am not really even sure where to start with this. If the denominator is equal to zero for every value through the integral except for 0 to 10, would I just be able to change it (just the denominator) to
$$\int_{0}^{10}f(x)\,dx$$
I don't think the same would apply for the numerator, because the function is multiplied by \(x\), making it a different function, which is possibly still integratable from \(-\infty\) to \(\infty\).
But wait, there's more. Part (b) is asking to suppose that the variable \(x\) is discrete rather than continuous. Assume \(\Delta{x}=1\) so that \(x\) takes on only integral values 0, 1, 2, ..., 10. Then I need to compute \(\bar{x}\) again and compare to the first part.
So I think after doing part (a), I could maybe know how to attack part (b) if I knew what a discrete variable was...I've never taken a class that ever dealt with discrete variables so I am kind of in the dark here. Any guidance would be very appreciated.

First of all, \displaystyle \begin{align*} E(X) = \int_{-\infty}^{\infty}{x\,f(x)\,dx} \end{align*}, not \displaystyle \begin{align*} \frac{\int_{-\infty}^{\infty}{x\,f(x)\,dx}}{\int_{-\infty}^{\infty}{f(x)\,dx}} \end{align*}, and then since the integral will be 0 everywhere where the function is 0, this would be equal in this case to \displaystyle \begin{align*} \int_0^{10}{x\,f(x)\,dx} = \int_0^{10}{x\left[ \frac{1}{10}(10 - x)^2 \right] \, dx} \end{align*}.

Go from here.
 
I'm sorry, I don't know what \(E(X)\) means. And the problem clearly states that
$$\bar{x} = \frac{\int_{-\infty}^{\infty}xf(x)dx}{\int_{-\infty}^{\infty}f(x)dx}$$
so I don't think I can use what you just gave to go about solving it.
 
Last edited:
Yes you can, your f(x) is 0 everywhere other than between 0 to 10, and so must be \displaystyle \begin{align*} x f(x) \end{align*}.
 
Prove It said:
First of all, \displaystyle \begin{align*} E(X) = \int_{-\infty}^{\infty}{x\,f(x)\,dx} \end{align*}, not \displaystyle \begin{align*} \frac{\int_{-\infty}^{\infty}{x\,f(x)\,dx}}{\int_{-\infty}^{\infty}{f(x)\,dx}} \end{align*}, and then since the integral will be 0 everywhere where the function is 0, this would be equal in this case to \displaystyle \begin{align*} \int_0^{10}{x\,f(x)\,dx} = \int_0^{10}{x\left[ \frac{1}{10}(10 - x)^2 \right] \, dx} \end{align*}.

Go from here.

skatenerd said:
I'm sorry, I don't know what \(E(X)\) means. And the problem clearly states that
$$\bar{x} = \frac{\int_{-\infty}^{\infty}xf(x)dx}{\int_{-\infty}^{\infty}f(x)dx}$$
so I don't think I can use what you just gave to go about solving it.

As $\displaystyle \int_{- \infty}^{ \infty}f(x) \, dx \not=1$, this distribution function must be normalized. Prove It would be correct if the function was already normalized, but since it is not (the integral in question is equal to $100/3$), you must normalize to find the expectation value of $x$.
 
Here is a little puzzle from the book 100 Geometric Games by Pierre Berloquin. The side of a small square is one meter long and the side of a larger square one and a half meters long. One vertex of the large square is at the center of the small square. The side of the large square cuts two sides of the small square into one- third parts and two-thirds parts. What is the area where the squares overlap?

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