2019
DOI: 10.1016/j.jmaa.2019.06.032
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Densities for piecewise deterministic Markov processes with boundary

Abstract: We study the existence of densities for distributions of piecewise deterministic Markov processes. We also obtain relationships between invariant densities of the continuous time process and that of the process observed at jump times. In our approach we use functional-analytic methods and the theory of linear operator semigroups. By imposing general conditions on the characteristics of a given Markov process, we show the existence of a substochastic semigroup describing the evolution of densities for the proce… Show more

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Cited by 8 publications
(31 citation statements)
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References 39 publications
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“…The proof of this result is rather standard, so we only sketch it omitting the computational part. Some new and general results concerning piecewise deterministic Markov processes with boundary can be found in Gwiżdż and Tyran‐Kamińska 15 …”
Section: Models With Bounded Phase Spacesmentioning
confidence: 96%
“…The proof of this result is rather standard, so we only sketch it omitting the computational part. Some new and general results concerning piecewise deterministic Markov processes with boundary can be found in Gwiżdż and Tyran‐Kamińska 15 …”
Section: Models With Bounded Phase Spacesmentioning
confidence: 96%
“…Let the state space be equipped with a σ ‐finite measure m . By imposing general conditions on the characteristics (see Theorem 4.7), we showed in Gwiżdż and Tyran‐Kamińska 4 the existence of a substochastic semigroup (a positive contraction C 0 ‐semigroup of linear operators) on L 1 ( E , m ) describing the evolution of densities for the process. However, in general, it might happen that τ ∞ is finite with positive probability, so that the minimal process is explosive, leading to a loss of mass.…”
Section: Introductionmentioning
confidence: 99%
“…In Gwiżdż and Tyran‐Kamińska, 4 our main tool was a perturbation result for substochastic semigroups on L 1 spaces. We considered initial‐boundary value problems given in the general abstract form ufalse(tfalse)=Aufalse(tfalse)+Bufalse(tfalse),.5emnormalΨ0ufalse(tfalse)=normalΨufalse(tfalse),.5emt>0,.5emufalse(0false)=f, where Ψ 0 and Ψ are positive and possibly unbounded operators defined on a linear subspace scriptDL1 with values in a boundary space L1, the operator B:scriptDL1 is positive, and A:scriptDL1 is such that the operator A 0 , defined as the restriction of A to the nullspace ker(Ψ 0 ), that is, A0f=Af,.3emfscriptDfalse(A0false)={}fscriptD:normalΨ0f=0=kerfalse(normalΨ0false) is the generator of a substochastic semigroup on L 1 .…”
Section: Introductionmentioning
confidence: 99%
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