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The continuity equation

We generate one equation by multiplying the Schrödinger equation with $ \Psi^*(x,t)$, where $ ^*$ means conjugate complex. We generate another equation by multiplying the (Schrödinger equation)$ ^*$ with $ -\Psi(x,t)$ and add both equations. The result is
$\displaystyle i\hbar(\Psi^*\partial_t\Psi+\Psi\partial_t\Psi^*)$ $\displaystyle =$ $\displaystyle -\frac{\hbar^2}{2m}\left[ \Psi^*\partial_x^2\Psi- \Psi\partial_x^2\Psi^*\right]$  
$\displaystyle i\hbar\partial_t(\Psi\Psi^*)$ $\displaystyle =$ $\displaystyle -\frac{\hbar^2}{2m}\partial_x \left[ \Psi^*\partial_x\Psi- \Psi\partial_x\Psi^*\right].$ (38)

This can be written in the form of a continuity equation:
$\displaystyle \fbox{$ \begin{array}{rcl} \displaystyle
& &\frac{\partial}{\part...
...si(x,t)
- \Psi(x,t)\frac{\partial}{\partial x}\Psi^*(x,t)\right].
\end{array}$}$     (39)

You should check that beside the probability density $ \rho(x,t)$ also the probability current density $ j(x,t)$ both are real quantities. Eq. (1.39) in fact is the one-dimensional version of a continuity equation
$\displaystyle \partial_t\rho({\bf x},t)+ div {\bf j}({\bf x},t)$ $\displaystyle =$ 0 (40)

that appears in different areas of physics such as fluid dynamics or wave theory. We note that for simplicity up to here we have only dealt with the one-dimensional version of the Schrödinger equation which yields the one-dimensional version of the continuity equation. We integrate Eq. (1.39) from $ x=-\infty$ to $ x=\infty$ and assume that $ \Psi$ vanishes at infinity which is plausible: if $ \Psi$ is related to a probability, this probability should be zero at points of space that are inaccessible to the particles, i.e. at infinity. We obtain
$\displaystyle \partial_t\int_{-\infty}^{\infty}dx
\rho({x},t)=0 \leadsto \int_{-\infty}^{\infty}dx \rho({x},t)= const.$     (41)

The statistical interpretation of $ \Psi(x,t)$ is one of the central axioms of quantum mechanics.


next up previous contents
Next: Fourier Transforms and the Up: Interpretation of the Wave Previous: Expectation value (mean value),   Contents
Tobias Brandes 2004-02-04