Stabilization conjecture for totally non-stable context trees
Stabilization conjecture for totally non-stable context trees
Let be a non-null probabilised context tree. A context tree is totally non-stable when its set of infinite branches has no shift-invariant subset. A context tree is stabilizable when the stabilization construction referred to in the source is defined. Stabilization conjecture. If is totally non-stable and stabilizable, then its stabilized tree satisfies the conditions of the cited theorem on the stable case. This is presented as a weaker first step toward the conjecture on uniqueness of the stationary measure, and the supplied text gives no resolution.
Sources & referencesView supporting material
Primary source
Peggy Cénac, Brigitte Chauvin, Frédéric Paccaut and Nicolas Pouyanne, “Characterization of stationary probability measures for Variable Length Markov Chains”, arXiv:1807.01075 (2018).
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