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Exponential quasi-ergodicity for processes with discontinuous trajectories. (arXiv:1902.01441v1 [math.PR])
来源于:arXiv
Some new results provide opportunities to ensure the exponential convergence
to a unique quasistationary distribution in the total variation norm, for quite
general strong Markov processes. Specifically, non-reversible processes with
discontinuous trajectories are concerned, which seems to be a substantial
breakthrough. Considering jumps driven by Poisson Point Processes in four
different applications, we intend to illustrate the potential of these results
and motivate an original yet apparently very technical criterion. Such
criterion is expected to be much easier to verify than an implied property
essential for our proof, namely a comparison of the asymptotic extinction rate
between different initial conditions.
Keywords : continuous-time and continuous-space Markov process , jumps ,
quasi-stationary distribution , survival capacity , Q-process , Harris
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