
arXiv: 2107.14268
We introduce the space of virtual Markov chains (VMCs) as a projective limit of the spaces of all finite state space Markov chains (MCs), in the same way that the space of virtual permutations is the projective limit of the spaces of all permutations of finite sets.We introduce the notions of virtual initial distribution (VID) and a virtual transition matrix (VTM), and we show that the law of any VMC is uniquely characterized by a pair of a VID and VTM which have to satisfy a certain compatibility condition.Lastly, we study various properties of compact convex sets associated to the theory of VMCs, including that the Birkhoff-von Neumann theorem fails in the virtual setting.
compact convex space of measures, projective limit, Convex sets in topological linear spaces; Choquet theory, Probability (math.PR), virtual permutation, inverse limit, Markov chains (discrete-time Markov processes on discrete state spaces), Inductive and projective limits in functional analysis, continuous-time Markov process, 60J10 (Primary) 46A55, 46M40 (Secondary), FOS: Mathematics, balayage, extreme points, Mathematics - Probability
compact convex space of measures, projective limit, Convex sets in topological linear spaces; Choquet theory, Probability (math.PR), virtual permutation, inverse limit, Markov chains (discrete-time Markov processes on discrete state spaces), Inductive and projective limits in functional analysis, continuous-time Markov process, 60J10 (Primary) 46A55, 46M40 (Secondary), FOS: Mathematics, balayage, extreme points, Mathematics - Probability
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