From diffusions on graphs to Markov chains via asymptotic state lumping

We show that finite-state Markov chains may be approximated by fast
diffusions on finite graphs with semi-permeable membranes on vertices.
The approximation involves a singular perturbation with singularity in
both operator and boundary/transmission conditions. The result is
motivated by recent models of synaptic depression.