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Simple Applications of Propagator Functions

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Part of the book series: Graduate Texts in Physics ((GTP))

Abstract

Let us first summarize what we know until now about the Feynman propagator , thinking first, for simplicity, of a one-dimensional system, described by the following Lagrangian:

$$\displaystyle{ L(x,\dot{x}) = \frac{m} {2} \dot{x}^{2} - V (x)\;. }$$
(23.1)

Then we know that

$$\displaystyle{ \begin{array}{ll} 1)\quad K{\bigl (x_{f }, t_{f }; x_{i },t_{i}\bigr )} = &\int _{x(t_{i})=x_{i}}^{x(t_{f})=x_{f} }[dx(t)] \\ &\, \times \text{exp}\left \{ \frac{\text{i}} {\hslash }\int _{t_{i}}^{t_{f} }dt\left [\frac{m} {2} \dot{x}^{2} - V (x)\right ]\right \}\;. \end{array} }$$
(23.2)
$$\displaystyle\begin{array}{rcl} 2)\quad & & \text{i}\hslash \frac{\partial } {\partial t_{f}}K{\bigl (x_{f},t_{f};x_{i},t_{i}\bigr )} = \left [-\frac{\hslash ^{2}} {2m}\, \frac{\partial ^{2}} {\partial x_{f}^{2}} + V {\bigl (x_{f}\bigr )}\right ]K{\bigl (x_{f},t_{f};x_{i},t_{i}\bigr )}\;. \\ & & K{\bigl (x_{f},t_{i};x_{i},t_{i}\bigr )} =\delta {\bigl ( x_{f} - x_{i}\bigr )}\;. {}\end{array}$$
(23.3)
$$\displaystyle{ \begin{array}{@{\hspace *{-5pc}}l@{\hspace *{1pc}}l@{}} \hspace{-60.0pt}3)\quad K{\bigl (x_{f }, t_{f }; x_{i },t_{i}\bigr )} =\sum _{ n=0}^{\infty }\phi _{n}{\bigl (x_{f}\bigr )}\phi _{n}^{{\ast}}{\bigl (x_{i}\bigr )}\,\text{e}^{-(\text{i}/\hslash )E_{n}(t_{f}-t_{i})}\;.\hspace{12.0pt}\end{array} }$$
(23.4)

We have already seen in some examples (particle in a square well, or constrained to move on a ring) that the representation (23.4) exists. More generally, (23.4) can be shown as follows: we know that the propagator for fixed x i , t i solves the Schrödinger equation.

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Dittrich, W., Reuter, M. (2016). Simple Applications of Propagator Functions. In: Classical and Quantum Dynamics. Graduate Texts in Physics. Springer, Cham. https://doi.org/10.1007/978-3-319-21677-5_23

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