In the intermediate time regime the evolution of the jump process has to be considered more carefully. It is assumed that the occupation probabilities Wk of finding a site k among n possible sites are stochastic variables of a stationary Markov process whose time dependence can be described by a master equation:
The jump process is independent from the NMR experiment, especially
the origin in time, t=0. The NMR experiment is always conducted in a
stationary situation as far as the stochstic process is concerned. The Wk(t)
therefore can be substituted by their equilibrium values
(here always denoted as populations) which are determined by
the following relation:
Weblab supports a transition matrix with the
following restrictions:
a) Only jumps between next neighbours are considered
b) The principle of detailed balance is valid, which means:
for
all j and k.
With these assumptions, one has just 2n non-zero transition probabilities for all cases considered here. Detailed balance has to be fullfilled, which implies a further condition, so that you are actually only dealing with 2n-1 independent quantities.
You have to tell Weblab, which of the possible transition matrix elements should get the value that you have specified as jump rate Ω. In the case n=2, for example, there are two options, Π12 and Π21. If you select transition 1 ← 2 then Π12 is set to Ω and Π21 is set to b · Ω.
For a better comparability with the treatment in the fast limit you also can enter populations instead of transition matrix elements. In this case Weblab will calculate a transition matrix in agreement with eq. (3) and restrictions a) and b). In case of more then 2 sites there is no one-to-one corresponence and more solutions are possible. In this case Weblab sets all non-zero elements in each row equal.