Spatial Markov Semigroups Admit Hudson-Parthasarathy Dilations
Michael Skeide

TL;DR
This paper proves that spatial Markov semigroups on the algebra of bounded operators on a Hilbert space admit Hudson-Parthasarathy dilations if and only if they are spatial, using abstract classification methods rather than stochastic differential equations.
Contribution
It provides a new proof that spatial Markov semigroups admit Hudson-Parthasarathy dilations, avoiding Hilbert module techniques and relying on Arveson system classification.
Findings
Spatial Markov semigroups admit Hudson-Parthasarathy dilations if and only if they are spatial.
The proof uses abstract classification methods instead of stochastic differential equations.
Results extend to more general C*-algebras with suitable adaptations.
Abstract
We present, for the first time, the result (from 2008) that (normal, strongly continuous) Markov semigroups on ( a separable Hilbert space) admit a Hudson-Parthasarathy dilation (that is, a dilation to a cocycle perturbation of a noise) if and only if the Markov semigroup is spatial (that is, if it dominates an elementary CP-semigroup). The proof is by general abstract nonsense (taken from Arveson's classification of -semigroups on by Arveson systems up to cocycle conjugacy) and not, as usual, by constructing the cocycle as a solution of a quantum stochastic differential equation in the sense of Hudson and Parthasarathy. All other results that make similar statements (especially, [Mem. Amer. Math. Soc. 240 (2016), vi+126 pages, arXiv:0901.1798]) for more general -algebras) have been proved later by suitable adaptations of the methods…
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Taxonomy
TopicsAdvanced Operator Algebra Research · Advanced Algebra and Logic · Random Matrices and Applications
