The equations to be solved are
To simplify the use of perturbation theory, it is convenient to use a
trick that gets rid of half the terms in these equations. The trick
is to define new coefficients
and
by
The evolution equations for
and
are
It will from now on be assumed that the original Hamiltonian
coefficients are independent of time. That makes the difference in
expectation energies
constant too.
Now the formal way to perform time-dependent perturbation theory is to
assume that the matrix element
is small. Write
as
where
is a scale factor. Then
you can find the behavior of the solution in the limiting process
by expanding the solution in powers of
. The definition of the scale factor
is
not important. You might identify it with a small physical parameter
in the matrix element. But in fact you can take
the same
as
and
as an additional mathematical parameter
with no meaning for the physical problem. In that approach,
disappears when you take it to be 1 in the final answer.
But because the problem here is so trivial, there is really no need
for a formal time-dependent perturbation expansion. In particular, by
assumption the system stays close to state
, so the
coefficient
must remain small. Then the evolution
equations above show that
will hardly change. That allows
it to be treated as a constant in the evolution equation for
. That then allows
to be found by simple
integration. The integration constant follows from the condition that
is zero at the initial time. That then gives the result cited
in the text.
It may be noted that for the analysis to be valid,
must be small. That ensures that
is correspondingly small
according to its evolution equation. And then the change in
from its original value is small of order
according to its evolution equation. So the
assumption that it is about constant in the equation for
is
verified. The error will be of order
.
To be sure, this does not verify that this error in
decays
to zero when
tends to infinity. But it does, as can
be seen from the exact solution,
Finally, consider the case that the state cannot just transition to
one state
but to a large number
of them, each with its
own coefficient
. In that case, the individual contributions
of all these states add up to change
. And
must definitely stay approximately constant for the above analysis to
be valid. Fortunately, if you plug the approximate expressions for
the
into the evolution equation for
, you can
see that
stays approximately constant as long as the sum
of all the transition probabilities does. So as long as there is
little probability of any transition at time
, time-dependent
perturbation theory should be OK.