How Does the Time Evolution of Expectation Shape Scientific Understanding?

OGrowli
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Are you asking about how quantum mechanical expectation values evolve with time? If so, then it evolves according to the differential equation

\frac{d}{dt}<{\psi}|O|{\psi}> = \frac{i}{\hbar}<{\psi}|[H,O]|{\psi}> + <{\psi}|\frac{{\partial}O}{{\partial}t}|{\psi}>

With O being a Hermitian operator.
 
Last edited:
planck42 said:
Are you asking about how quantum mechanical expectation values evolve with time? If so, then it evolves according to the differential equation

\frac{d}{dt}<{\psi}|O|{\psi}> = \frac{i}{\hbar}<{\psi}|[H,O]|{\psi}> + <{\psi}|\frac{{\partial}O}{{\partial}t}|{\psi}>

With O being a Hermitian operator.

i don't know what happened to my original post, but I am having an issue with the following problem:

Show that:

\frac{d}{dt}<x^2> =\frac{1}{m}(< xp_x> +<p_xx>)

for a three dimensional wave packet.

relevant equations:

Ehrenfest Theorem:(1)
i\hbar\frac{d}{dt}&lt;O&gt;=&lt;[O,H]&gt;+i\hbar&lt;\frac{\partial }{\partial t}O&gt;

where O is an operator
(2)
\frac{d}{dt}\int_{V}d^3r\psi ^*O\psi

I tried using both ways illustrated above and I arrived at the same answer:

\frac{-i\hbar}{2m}\int_{V}d^3r\psi ^*[\bigtriangledown ^2(x^2\psi)-x^2\bigtriangledown ^2\psi]

=\frac{-i\hbar}{2m}\int_{V}d^3r\psi ^*[\frac{\partial }{\partial x}<br /> (x^2\psi&#039;+2x\psi)-x^2\frac{\partial^2 }{\partial x^2}\psi]

=\frac{-i\hbar}{2m}\int_{V}d^3r\psi ^*[<br /> 2\psi+2x\frac{\partial }{\partial x}\psi+2x\frac{\partial }{\partial x}\psi+(x^2-x^2)\frac{\partial^2 }{\partial x^2}\psi]

=\frac{1}{m}\int_{V}d^3r[\psi ^*(-i\hbar)\psi+\psi^*x(-i\hbar\frac{\partial }{\partial x})\psi+\psi^*(-i\hbar\frac{\partial }{\partial x})x\psi]

=\frac{1}{m}(&lt;xp_x&gt;+&lt;p_xx&gt;)-\frac{i\hbar}{m}

Am I doing anything wrong? Where does the extra term come from, and does it mean anything?
 
nvm, I got it:

<br /> =\frac{-i\hbar}{2m}\int_{V}d^3r\psi ^*[\frac{\partial }{\partial x}<br /> (x^2\psi&#039;+2x\psi)-x^2\frac{\partial^2 }{\partial x^2}\psi]<br />

=\frac{-i\hbar}{2m}\int_{V}d^3r\psi ^*[x^2\frac{\partial^2 }{\partial x^2}\psi+2x\frac{\partial }{\partial x}\psi+2\frac{\partial }{\partial x}(x\psi)-x^2\frac{\partial^2 }{\partial x^2}\psi]

=\frac{1}{m}\int_{V}d^3r[\psi^*x(-i\hbar\frac{\partial }{\partial x})\psi+\psi^*(-i\hbar\frac{\partial }{\partial x})x\psi]

=\frac{1}{m}(&lt;xp_x&gt;+&lt;p_xx&gt;)

I went wrong thinking I could just rearrange the derivatives.
 
To solve this, I first used the units to work out that a= m* a/m, i.e. t=z/λ. This would allow you to determine the time duration within an interval section by section and then add this to the previous ones to obtain the age of the respective layer. However, this would require a constant thickness per year for each interval. However, since this is most likely not the case, my next consideration was that the age must be the integral of a 1/λ(z) function, which I cannot model.
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