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Lagrange Multiplier

The additional condition \bgroup\color{col1}$ \langle \Psi \vert \Psi\rangle =1$\egroup can be incorporated into the minimisation procedure by adding a term to the energy functional, introducing a Lagrange multiplier \bgroup\color{col1}$ \lambda$\egroup, and thereby defining the functional
$\displaystyle F[\Psi] \equiv E[\Psi] + \lambda \left[\langle \Psi \vert \Psi \rangle-1\right].$     (3.8)

Its functional derivative is
$\displaystyle \frac{\delta F[\Psi]}{\delta \Psi}$ $\displaystyle =$ $\displaystyle \langle \delta \Psi\vert \hat{H}\vert \Psi \rangle +
\langle \Psi...
... \delta \Psi \vert \Psi \rangle +
\langle \Psi\vert \delta \Psi \rangle\right].$ (3.9)

Exercise: Check this equation.

Minimization then means

$\displaystyle 0= \frac{\delta F[\Psi]}{\delta \Psi}\leadsto \langle \delta \Psi...
... \Psi \rangle +
\langle \Psi\vert \hat{H}+\lambda\vert \delta \Psi \rangle = 0.$     (3.10)

As \bgroup\color{col1}$ \delta \Psi$\egroup is arbitrary and complex, this can only be true if
$\displaystyle [\hat{H}+\lambda]\vert \Psi \rangle =0,\quad \langle \Psi\vert [\hat{H}+\lambda]=0$     (3.11)

which are two equations which are the conjugate complex to each other. Writing \bgroup\color{col1}$ \lambda=-\varepsilon$\egroup, this means
$\displaystyle \hat{H} \Psi = \varepsilon\Psi,$     (3.12)

which is the stationary Schrödinger equation. However, here \bgroup\color{col1}$ \varepsilon$\egroup is the lowest eigenvalue with corresponding eigenstate \bgroup\color{col1}$ \Psi$\egroup. We thus recognise:

Minimization of the functional \bgroup\color{col1}$ F[\Psi] \equiv E[\Psi] -\varepsilon \left[\langle \Psi \vert \Psi \rangle-1\right]$\egroup is equivalent to finding the lowest eigenvalue and eigenstate of the stationary Schrödinger equation \bgroup\color{col1}$ \hat{H}\Psi=\varepsilon\Psi$\egroup.


next up previous contents index
Next: The Variational Principle for Up: The Variational Principle Previous: Functional Derivates   Contents   Index
Tobias Brandes 2005-04-26