next up previous
Next: General Principles Up: Matrix Eigenvalue Problems Previous: Matrix Eigenvalue Problems


Schrödinger's equation

In dimensionless form the time-independent Schrödinger equation can be written as
\begin{displaymath}
-\nabla^2\psi + V(\bi{r})\psi = E\psi.
\end{displaymath} (3.16)

The Laplacian, $\nabla^2$, can be represented in discrete form as in the case of Laplace's or Poisson's equations. For example, in 1D (3.16) becomes
\begin{displaymath}
-\psi_{j-1} + \left(2 + \delta x V_j\right)\psi_j - \psi_{j+1}
= E\psi_j
\end{displaymath} (3.17)

which can in turn be written in terms of a tridiagonal matrix $\bss{H}$ as
\begin{displaymath}
\bss{H}\underline{\psi} = E\underline{\psi}.
\end{displaymath} (3.18)

An alternative and more common procedure is to represent the eigenfunction in terms of a linear combination of basis functions so that we have
\begin{displaymath}
\psi(\bi{r}) = \sum_\beta a_\beta \phi_\beta(\bi{r}).
\end{displaymath} (3.19)

The basis functions are usually chosen for convenience and as some approximate analytical solution of the problem. Thus in chemistry it is common to choose the $\phi_\beta$ to be known atomic orbitals. In solid state physics often plane waves are chosen. Inserting (3.19) into (3.16) gives
\begin{displaymath}
\sum_\beta a_\beta \left(-\nabla^2 +
V(\bi{r})\right)\phi_\beta(\bi{r})
= E \sum_\beta a_\beta \phi_\beta(\bi{r}).
\end{displaymath} (3.20)

Multiplying this by one of the $\phi$'s and integrating gives
\begin{displaymath}
\sum_\beta \int\d\bi{r} \phi^*_\alpha(\bi{r})
\left(-\nabl...
...\int\d\bi{r}\phi^*_\alpha(\bi{r})\phi_\beta(\bi{r})
a_\beta.
\end{displaymath} (3.21)

We now define 2 matrices
$\displaystyle \bss{H}\equiv H_{\alpha\beta}$ $\textstyle =$ $\displaystyle \int\d\bi{r} \phi^*_\alpha(\bi{r})
\left(-\nabla^2 + V(\bi{r})\right)\phi_\beta(\bi{r})$ (3.22)
$\displaystyle \bss{S}\equiv S_{\alpha\beta}$ $\textstyle =$ $\displaystyle \int\d\bi{r}\phi^*_\alpha(\bi{r})\phi_\beta(\bi{r})$ (3.23)

so that the whole problem can be written concisely as
$\displaystyle \sum_\beta H_{\alpha\beta}a_\beta$ $\textstyle =$ $\displaystyle E \sum_\beta S_{\alpha\beta} a_\beta$ (3.24)
$\displaystyle \bss{H}\bi{a}$ $\textstyle =$ $\displaystyle E \bss{S}\bi{a}$ (3.25)

which has the form of the generalised eigenvalue problem. Often the $\phi$'s are chosen to be orthogonal so that $S_{\alpha\beta} =
\delta_{\alpha\beta}$ and the matrix $\bss{S}$ is eliminated from the problem.
next up previous
Next: General Principles Up: Matrix Eigenvalue Problems Previous: Matrix Eigenvalue Problems