  The representation problem of finite-dimensional Markov matrices in Markov
semigroups is revisited, with emphasis on concrete criteria for matrix
subclasses of theoretical or practical relevance, such as equal-input,
circulant, symmetric or doubly stochastic matrices. Here, we pay special
attention to various algebraic properties of the embedding problem, and discuss
the connection with the centraliser of a Markov matrix.
