I currently try to model nucleation as an absorbing Markov chain. I have an idea how to do that but, however, I cannot convince myself that it is correct.
The state space consists of the number of atoms $n$ in a cluster which grows/shrinks upon attachment/detachment of monomeres/atoms until a critical size $n^*$ is reached (absorbing state in the chain). The transition probabilities for growing $P_{a,n} = a_n * t_n$ or shrinking $P_{b,n} = b_n *t_n$ (with $P_{a,n} + P_{b,n} = 1$) are a function of $n$. The time, needed for a transition is then $t_n = 1/(a_n + b_n)$.
It is known that the expected number of steps to reach an absorbing state can be calculated by
$$\vec{n}_{exp} = \mathbf{N}_{n^*-1, n^*-1} \cdot \vec{1}$$
where $N = (\mathbf{I} - \mathbf{Q})^{-1}$ is the fundamental matrix and $\vec{n}_{exp}$ contains the expected number of steps starting at the $i$-th position in the chain. But, I'm interested in the expected time until $n^*$ is reached. Therefore, I would exchange $\vec{1}$ with the vector containing the times needed for a transition (grow or shrink) $\vec{t} = [t_1, t_2, \dots t_{n^*-1}]$.
$$\vec{t}_{exp} = \mathbf{N}_{n^*-1, n^*-1} \cdot \vec{t}$$
However, as I'm not an expert in the field of Markov chains I cannot convince myself that this is correct. Could anybody help me to clarify? Many thanks in advance.
Physikuss.
$n \rightarrow n+1$
and$n \rightarrow n-1$
is allowed. $\endgroup$