The Frog Model on $\mathbb{Z}$ with Discrete Weibull Lifetimes and Random Parameter $p$
We study the frog model on $\mathbb{Z}$ with particle wise discrete Weibull lifetimes. Each particle has an i.i.d. survival parameter $π\in(0,1)$; conditionally on $π=p$, its lifetime $Ξ$ satisfies \[ P(Ξ\ge k\mid π=p)=p^{k^γ},\qquad k\in\mathbb{N}_0,γ>0. \] The law of $π$ has right edge density \[ f_π(u)\sim(1-u)^{β-1},L\big((1-u)^{-1}\big)\qquad (u\uparrow 1), \] with $β>0$ and $L$ slowly varying; let $η$ denote the common law of the i.i.d. initial occupation numbers $\{η_x\}_{x\in\mathbb{Z}}$. The survival parameter distribution strictly extends the Beta family, while the lifetime distribution extends the geometric case. We prove a sharp extinction and survival dichotomy with the $γ-$dependent threshold \[ β_c:=\frac{1}{2γ}. \] If $β>β_c$ and $E(η)<\infty$, the process becomes extinct almost surely; if $β<β_c$ and $P(η=0)<1$, it survives with positive probability. At the boundary $β=β_c$ we provide explicit criteria in terms of $\limsup/\liminf$ of $L(n^{2γ})$. The case $γ=1$ (geometric lifetimes) recovers the benchmark $β_c=\frac{1}{2}$ and the critical refinements previously obtained for random geometric lifetimes.