Time evolution operator versus propagate

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SUMMARY

The discussion clarifies the relationship between the time evolution operator and the Feynman propagator in quantum mechanics. The time evolution operator, denoted as ##U(t_2, t_1)##, is a unitary operator that calculates the probability amplitude of transitioning between quantum states. The Feynman propagator, represented as ##K(x_2, t_2, x_1, t_1)##, is a specific matrix element of the time evolution operator, providing the amplitude for a particle to move from position ##x_1## at time ##t_1## to position ##x_2## at time ##t_2##. Both concepts are essential for understanding quantum state transitions and their mathematical representations.

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I am trying to understand the how the time evolution operator is used versus the Feynman propagate.
My limited understanding is the following for which I am seeking clarity:

1. The time evolution operator is a unitary operator which enables us to calculate a probability amplitude of one state going to another state.

2. The Feynman propagation also gives the amplitude between two different states.

So the question is, first of all are the above statements correct , are the two comparable and how do they differ?

My initial thought was that the first one referred to a point in space but different times while the second referred to two different points in space time with an integration across all possible paths when the propagator is used to calculate an amplitude.

Help appreciated.

Thanks.
 
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1 is correct. 2 is correct, but more specifically the propagator is a certain matrix element of the time evolution operator. If ##U(t_2, t_1)## is the time evolution operator between the two times ##t_1## and ##t_2##, and ##K(x_2, t_2, x_1, t_1)## is the Feynman propagator (the amplitude to propagate from position ##x_1## at time ##t_1## to position ##x_2## at time ##t_2##) then we have

##K(x_2, t_2, x_1, t_1) = \langle x_2 | U(t_2, t_1) | x_1 \rangle##

where ##| x_1 \rangle## and ##| x_2 \rangle## are eigenstates of the position operator. This is really just the definition of ##K##.
 
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Yes that clarifies it very well. Thank you very much.
 

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