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Fábio Prates Machado

Publications and source records attributed to Fábio Prates Machado.

6 recordsLinked to original sources

Extinction and Survival in an Interval-Activation Frog Model on \mathbb{Z} with Random Survival Parameters and Symmetric Random Walks

We study an interval-activation frog model on \(\mathbb Z\) with i.i.d.\ initial numbers of frogs \((η_x)_{x\in\mathbb Z}\), satisfying \(0<\mathbb{E}[η_0]<\infty\). Frogs at the origin are initially active and all others are sleeping. Each frog performs a symmetric integer-valued random walk and has a random lifetime \(L\) determined by an i.i.d.\ survival parameter \(π\in(0,1)\), with \(\mathbb{P}(L\ge k\mid π=p)=p^k\). Every jump activates all sleeping frogs at the integer sites between its endpoints. Let \(D^\to\) denote the maximal rightward displacement of a single frog before death. We derive survival and extinction criteria from the tail behavior of \(D^\to\). If \(\mathbb{P}(|ξ_1|\ge n)\sim n^{-α}L_ξ(n)\), with \(L_ξ\) slowly varying, then survival holds with positive probability for \(0<α<1\), while for \(α=1\) both survival and almost sure extinction may occur. For \(1<α<2\), assume \(\mathbb{P}(|ξ_1|>n)\sim c_ξn^{-α}\); in the finite-variance case assume \(\mathbb{E}[ξ_1]=0\) and \(\operatorname{Var}(ξ_1)=σ^2\in(0,\infty)\). Setting \(r=α\) in the stable case and \(r=2\) in the finite-variance case, if the law of \(π\) has density \(f_π(u)\sim(1-u)^{β-1}\ell((1-u)^{-1})\) as \(u\uparrow1\), then, for \(0<β<1\), \(n\mathbb{P}(D^\to\ge n)\sim C_βn^{1-rβ}\ell(n^r)\), with explicit \(C_β\). Hence the sharp off-critical threshold is \(β_c=1/r\): survival holds for \(β<1/r\), extinction holds almost surely for \(β>1/r\), and explicit sufficient conditions on the critical line leave a factor-four gap.

math.PR

Extinction time in growth models subject to geometric catastrophes

Recently, different dispersion strategies in population models subject to geometric catastrophes have been considered as strategies to improve the chance of po\-pu\-lation's survival. Such dispersion strategies have been contrasted with the strategy where there is no dispersion, comparing the probabilities of survival. In this article, we contrast survival strategies when extinction occurs almost surely, evaluating which strategy prolongs population's life span. Our results allow one to analyze what is the best strategy for survival based on parameters as the probability that each individual exposed to catastrophe survives, the growth rate of the colony, the type of dispersion and the spatial restrictions.

math.PR

Evaluating dispersion strategies in growth models subject to geometric catastrophes

We consider stochastic growth models to represent population dynamics subject to geometric catastrophes. We analyze different dispersion schemes after catastrophes, to study how these schemes impact the population viability and comparing them with the scheme where there is no dispersion. In the schemes with dispersion, we consider that each colony, after the catastrophe event, has $d$ new positions to place its survivors. We find out that when $d = 2$ no type of dispersion considered improves the chance of survival, at best it matches the scheme where there is no dispersion. When $d = 3$, based on the survival probability, we conclude that dispersion may be an advantage or not, depending on its type, the rate of colony growth and the probability that an individual will survive when exposed to a catastrophe.

math.PR

The cone percolation model on Galton-Watson and on spherically symmetric trees

We study a rumour model from a percolation theory and branching process point of view. The existence of a giant component is related to the event where the rumour, which started from the root of a tree, spreads out through an infinite number of its vertices. We present lower and upper bounds for the probability of that event, according to the distribution of the random variables that defines the radius of influence of each individual. We work with Galton-Watson branching trees (homogeneous and non-homogeneous) and spherically symmetric trees which includes homogeneous and $k-$periodic trees.

math.PR

Colonization and Collapse

Many species live in colonies that thrive for a while and then collapse. Upon collapse very few individuals survive. The survivors start new colonies at other sites that thrive until they collapse, and so on. We introduce spatial and non-spatial stochastic processes for modeling such population dynamic. Besides testing whether dispersion helps survival in a model experiencing large fluctuations, we obtain conditions for the population to get extinct or to survive.

math.PR

Dispersion as a survival strategy

We consider stochastic growth models to represent population subject to catastrophes. We analyze the subject from different set ups considering or not spatial restrictions, whether dispersion is a good strategy to increase the population viability. We find out it strongly depends on the effect of a catastrophic event, the spatial constraints of the environment and the probability that each exposed individual survives when a disaster strikes.

math.PR