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Let $(xi_k,eta_k)_{kinmathbb{N}}$ be independent identically distributed random vectors with arbitrarily dependent positive components. We call a (globally) perturbed random walk a random sequence $(T_k)_{kinmathbb{N}}$ defined by $T_k:=xi_1+cdots+xi_{k-1}+eta_k$ for $kinmathbb{N}$. Further, by an iterated perturbed random walk is meant the sequence of point processes defining the birth times of individuals in subsequent generations of a general branching process provided that the birth times of the first generation individuals are given by a perturbed random walk. For $jinmathbb{N}$ and $tgeq 0$, denote by $N_j(t)$ the number of the $j$th generation individuals with birth times $leq t$. In this article we prove counterparts of the classical renewal-theoretic results (the elementary renewal theorem, Blackwells theorem and the key renewal theorem) for $N_j(t)$ under the assumption that $j=j(t)toinfty$ and $j(t)=o(t^{2/3})$ as $ttoinfty$. According to our terminology, such generations form a subset of the set of intermediate generations.
The reproduction speed of a continuous-time branching random walk is proportional to a positive parameter $lambda$. There is a threshold for $lambda$, which is called $lambda_w$, that separates almost sure global extinction from global survival. Anal
We consider branching random walks in $d$-dimensional integer lattice with time-space i.i.d. offspring distributions. This model is known to exhibit a phase transition: If $d ge 3$ and the environment is not too random, then, the total population gro
We consider a biased random walk $X_n$ on a Galton-Watson tree with leaves in the sub-ballistic regime. We prove that there exists an explicit constant $gamma= gamma(beta) in (0,1)$, depending on the bias $beta$, such that $X_n$ is of order $n^{gamma
We consider branching random walks in $d$-dimensional integer lattice with time-space i.i.d. offspring distributions. When $d ge 3$ and the fluctuation of the environment is well moderated by the random walk, we prove a central limit theorem for the
It is well known that the behaviour of a branching process is completely described by the generating function of the offspring law and its fixed points. Branching random walks are a natural generalization of branching processes: a branching process c