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The asymptotic behaviour of the non-extinction probability of a bounded from below continuous time Markov critical branching process with ininite variance

机译:具有无限方差的连续时间低于马尔可夫临界分支过程的有界不熄灭概率的渐近行为

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Let μ(t) be the number of particles at time t of a continuous-time critical branching process. It is known that the probability of non-extinction of the process at time t Q(t)=P{μ(t)>0|μ(0)=1}→0 as t →∞, hence it follows that Qmo=P{μ(t)>0|μ(0)=m}∽mQ(t)→0 for any m =2,3,…Let for any integer m>r≥1 Q_mr(t)=P{inf_(0≤u≤t) μ(u)>r|μ(0)=m}.In this paper, we prove that Qmr(t)~(m-r)Q(t)as t →∞ co for any critical continuous-time Markov branching process. Earlier, this result was obtained for branching processes with finite variation of the number of particles.
机译:令μ(t)为连续时间关键分支过程中在时间t处的粒子数。已知在时间t Q(t)= P {μ(t)> 0 |μ(0)= 1}→0时,过程不消灭的概率为t→∞,因此得出Qmo = P {μ(t)> 0 |μ(0)= m}∽mQ(t)→0对于任何m = 2,3,…对于任何整数m>r≥1Q_mr(t)= P {inf_( 0≤u≤t)μ(u)> r |μ(0)= m}。在本文中,我们证明了对于任何临界连续-Q,Qmr(t)〜(mr)Q(t)为t→∞co。时间马尔可夫分支过程。早先,此结果是通过分支过程的粒子数量有限而获得的。

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