Integration help (expectation value)

In summary, the conversation is about calculating the time derivative of momentum using the momentum operator. The next step involves using the product rule of differentiation, where the order of differentiation can be changed if the function is well-behaved. The conversation also includes a request for further explanation or resources on the topic.
  • #1
Perillux
I'll skip the format because this isn't for a course, just a textbook I'm reading. Also because it shows the steps but I'm unsure about one of them. It might be a dumb question, but here goes:

It's for calculating [tex]\frac{d<p>}{dt}[/tex] Using the momentum operator we have:

[tex]\frac{d}{dt}<p> = -i\hbar \int_{-\infty}^{+\infty} \frac{\partial}{\partial t} (\Psi^* \frac{\partial \Psi}{\partial x})dx[/tex]

then I'm not entirely sure how they get the next step:

[tex]= -i\hbar \int_{-\infty}^{+\infty} [\frac{\partial}{\partial t}\Psi^* \frac{\partial \Psi}{\partial x} + \Psi^*\frac{\partial}{\partial x}(\frac{\partial\Psi}{\partial t})]dx[/tex]

I know this is probably just some fundamental rule of integration. But I put the whole equations up anyway. Please just explain it to me. If it is just a rule I have to memorize would you possibly be able to point me somewhere that explains how they derive it?
Thank you.
 
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  • #2
It's not a rule of integration, but rather a rule of differentiation, the product rule to be more precise.
 
  • #3
Oh right! I should have known this... so ashamed. lol

ok, so I guess that [tex]\frac{\partial}{\partial t}[/tex] and [tex]\frac{\partial}{\partial x}[/tex] are interchangeable. They do it that way to set it up for the next step.

I knew I was going to slap myself on the forehead after seeing the answer... oh well.
Thank you.
 
  • #4
Perillux said:
Oh right! I should have known this... so ashamed. lol

ok, so I guess that [tex]\frac{\partial}{\partial t}[/tex] and [tex]\frac{\partial}{\partial x}[/tex] are interchangeable. They do it that way to set it up for the next step.

I knew I was going to slap myself on the forehead after seeing the answer... oh well.
Thank you.
Don't be ashamed! To answer your question yes, if the function is sufficiently well behave, more specifically if all the mixed second order derivatives are continuous then the order of differentiation may be changed. I.e.

[tex]\Psi_{xt} = \Psi_{tx}[/tex]
 
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FAQ: Integration help (expectation value)

What is integration help (expectation value)?

Integration help, also known as expectation value, is a concept in mathematics that is used to calculate the average value of a function over a given interval. It is commonly used in calculus and statistics to find the expected outcome of a random variable or to determine the average value of a continuous function.

How is integration help (expectation value) calculated?

The calculation of integration help involves taking the integral of a function over a specific interval and dividing it by the width of the interval. This is represented by the formula: E(X) = (1/b-a) * ∫f(x)dx from a to b. Here, a and b represent the lower and upper limits of the interval, and f(x) is the function being integrated.

What is the significance of integration help (expectation value)?

Integration help is significant because it allows us to determine the average value of a function over a given interval, which can be useful in many real-world applications. For example, it can help us predict the average earnings of a company or the average temperature in a city over a certain period.

What are some common applications of integration help (expectation value)?

Integration help is used in various fields such as physics, engineering, economics, and finance. It can be used to calculate the average energy of a particle in quantum mechanics, the average force required to move an object, or the expected return on investment in the stock market.

What are some common misconceptions about integration help (expectation value)?

One common misconception about integration help is that it always gives an exact value. However, in reality, it is an estimation based on the assumption that the function being integrated is continuous. Another misconception is that it can only be applied to continuous functions, whereas it can also be used for discrete random variables.

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