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Equivalence and Separation for Multivariate Matrix-Exponential and Phase-Type Distribution Classes

概率论 2026-05-18 v1

摘要

We resolve two questions left open by Bladt and Nielsen (2010) concerning multivariate families of matrix-exponential and phase-type distributions. First, in the matrix-exponential case, the projection-defined class MVME coincides with Kulkarni's algebraic class MME*. Our proof combines a multivariate state-space realization theorem with elementary augmentations that put the realization into Kulkarni's form. Thus every proper rational multivariate Laplace transform has a finite-dimensional Kulkarni-type representation once Markovian sign constraints are removed. Second, in the phase-type setting, the inclusion of MPH* in MVPH is strict from the trivariate case onward. The separation is obtained through a factorization condition for MPH* that appears not to have been previously identified in the PH literature. A Wishart trace distribution belongs to MVPH but fails this condition, hence providing the required example outside MPH*. The example also shows that projection-based multivariate phase-type laws may have density and support geometry that are absent from the usual univariate theory.

引用

@article{arxiv.2605.15395,
  title  = {Equivalence and Separation for Multivariate Matrix-Exponential and Phase-Type Distribution Classes},
  author = {Oscar Peralta},
  journal= {arXiv preprint arXiv:2605.15395},
  year   = {2026}
}