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Almost sure, L1-and L2-growth behavior of supercritical multi-type continuous state and continuous time branching processes with immigration 被引量:1
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作者 Mátyás Barczy Sandra Palau Gyula Pap 《Science China Mathematics》 SCIE CSCD 2020年第10期2089-2116,共28页
Under a first order moment condition on the immigration mechanism,we show that an appropriately scaled supercritical and irreducible multi-type continuous state and continuous time branching process with immigration(C... Under a first order moment condition on the immigration mechanism,we show that an appropriately scaled supercritical and irreducible multi-type continuous state and continuous time branching process with immigration(CBI process)converges almost surely.If an x log(x)moment condition on the branching mechanism does not hold,then the limit is zero.If this x log(x)moment condition holds,then we prove L1 convergence as well.The projection of the limit on any left non-Perron eigenvector of the branching mean matrix is vanishing.If,in addition,a suitable extra power moment condition on the branching mechanism holds,then we provide the correct scaling for the projection of a CBI process on certain left non-Perron eigenvectors of the branching mean matrix in order to have almost sure and L1 limit.Moreover,under a second order moment condition on the branching and immigration mechanisms,we prove L2 convergence of an appropriately scaled process and the above-mentioned projections as well.A representation of the limits is also provided under the same moment conditions. 展开更多
关键词 multi-type continuous state and continuous time branching processes with immigration almost sure L1-and L2-growth behaviour
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A Central Limit Theorem for Branching Brownian Motion with Random Immigration 被引量:1
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作者 Hong Yan SUN 《Acta Mathematica Sinica,English Series》 SCIE CSCD 2014年第1期69-78,共10页
We establish a central limit theorem for a branching Brownian motion with random immigration under the annealed law,where the immigration is determined by another branching Brownian motion.The limit is a Gaussian rand... We establish a central limit theorem for a branching Brownian motion with random immigration under the annealed law,where the immigration is determined by another branching Brownian motion.The limit is a Gaussian random measure and the normalization is t3/4for d=3 and t1/2for d≥4,where in the critical dimension d=4 both the immigration and the branching Brownian motion itself make contributions to the covariance of the limit. 展开更多
关键词 Branching Brownian motion random immigration central limit theorem occupation time
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