Understand Physical Significance of Functions at Time 0

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The discussion focuses on the physical significance of the correlation function involving time-dependent functions in spectroscopy, specifically the expression \(\left\langle A[q,u(t)]A^{*}[q,u(0)] \right\rangle\). Participants clarify that the multiplication by its conjugate at time \(t = 0\) is crucial for understanding the behavior of the function over time. The average is taken over multiple values of \(t_0\), and examples are provided to illustrate how to compute these averages for different time indices, such as \(t_3\) and \(t_4\).

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Steve Drake
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Hi Guys,

In a lot of books dealing with spectroscopy, correlation functions or any kind of functions involving time sometimes take the form like this:

[itex]\left\langle A[q,u(t)]A^{*}[q,u(o)] \right\rangle[/itex]

Where [itex]A[/itex] is some function that depends on say [itex]q[/itex] and [itex]u[/itex], and [itex]u[/itex] is another function that depends on time [itex]t[/itex].

What is the physical significance of the multiplication by its conjugate at time [itex]t = 0[/itex]?

Thanks
 
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It would probably have been clearer if it was written
[itex]\left\langle A[q,u(t_0+t)]A^{*}[q,u(t_0)] \right\rangle[/itex]

The average is over ##t_0##.
 
Khashishi said:
It would probably have been clearer if it was written
[itex]\left\langle A[q,u(t_0+t)]A^{*}[q,u(t_0)] \right\rangle[/itex]

The average is over ##t_0##.

Hmm does that mean if i was trying to work out one of these equations for say a series of 5 ##t_0## values eg ##[1, 2, 3, 4, 5]##, does that mean for ##t_3## I would do
[itex]\left\langle A[q,u(3)]A^{*}[q,u(1)] \right\rangle[/itex], or
[itex]\left\langle A[q,u(3)]A^{*}[q,u(0)] \right\rangle[/itex] or
[itex]\left\langle A[q,u(3)]A^{*}[q,u(2)] \right\rangle[/itex]

and similarly for the next time ##t_4## eg...

[itex]\left\langle A[q,u(4)]A^{*}[q,u(1)] \right\rangle[/itex], or
[itex]\left\langle A[q,u(4)]A^{*}[q,u(0)] \right\rangle[/itex] or
[itex]\left\langle A[q,u(4)]A^{*}[q,u(3)] \right\rangle[/itex]

Thanks for your time.
 
Last edited:

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