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Reversed compound agent theorem

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In probability theory, the reversed compound agent theorem (RCAT) is a set of sufficient conditions for a stochastic process expressed in the PEPA language to have a product form stationary distribution.[1] Jackson's theorem is shown to be a special case of RCAT.[1] The extended reversed compound agent theorem (ERCAT) provides more general sufficient conditions for a product form stationary distribution, from which a short proof of the BCMP theorem follows.[2]

References

  1. ^ a b Attention: This template ({{cite doi}}) is deprecated. To cite the publication identified by doi:10.1016/S0304-3975(02)00375-4, please use {{cite journal}} (if it was published in a bona fide academic journal, otherwise {{cite report}} with |doi=10.1016/S0304-3975(02)00375-4 instead.
  2. ^ Attention: This template ({{cite doi}}) is deprecated. To cite the publication identified by doi:10.1016/j.laa.2004.02.020, please use {{cite journal}} (if it was published in a bona fide academic journal, otherwise {{cite report}} with |doi=10.1016/j.laa.2004.02.020 instead.