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arXiv 2608.24830math.PR

运动助力接触过程:泊松布朗运动上逾渗阈值以下的存活

Motion helps the contact process: survival below the percolation threshold on Poisson Brownian motions

Peter Gracar

AI总结:

该研究针对泊松布朗运动上的SIS接触过程,证明当恢复速率足够小时,在低于静态布尔模型临界强度的条件下,感染可存活并以正速度传播。

AI中文摘要:

我们考虑在d维欧氏空间中强度为η的独立布朗运动泊松系统上的SIS接触过程。当两个粒子的距离不超过2r时,它们处于接触状态。被感染粒子以速率λ∈(0,∞]将感染传播给与其接触的易感粒子,并以速率μ∈(0,∞]恢复,恢复后再次变为易感粒子。当λ=∞时,恢复仅在粒子孤立时发生。设η_c^B为静态布尔模型的临界强度,低于该强度时,接触图在每个固定时刻仅包含有限分量。我们证明,对于d≥2,在运动存在的情况下,当恢复速率μ足够小(取决于强度)时,感染在严格低于η_c^B的每个强度下均能存活并以正速度传播;即从单个被感染粒子开始,在时间t时,存在一个被感染粒子距离原点的量级为t。特别地,存在μ_†>0,使得对于每个μ<μ_†,有η_c(∞,μ)<η_c^B,且当μ↓0时,感染存活的强度集合扩展至全部(0,η_c^B)。我们还证明,在每个恢复速率下,临界密度均为正,其下界不依赖于感染速率;并且对于d≥2,在每个强度和每个有限感染速率下,当μ足够小时,感染均能存活并以正速度传播。

英文摘要:

We consider the SIS contact process on a Poisson system of independent Brownian motions in $\mathbb{R}^d$ of intensity $η$. Two particles are in contact when their distance is at most $2r$. An infected particle transmits the infection to a susceptible particle in contact with it at rate $λ\in(0,\infty]$, and recovers at rate $μ\in(0,\infty]$, after which it is susceptible again. When $λ=\infty$, recovery acts only while a particle is isolated. Let $η_c^{\mathrm{B}}$ be the critical intensity of the static Boolean model, below which the contact graph has only finite components at every fixed time. We show that for $d\ge2$, with motion, at every intensity strictly below $η_c^{\mathrm{B}}$, the infection survives and spreads at positive speed once the recovery rate $μ$ is small enough, depending on the intensity; that is, started from a single infected particle, at time $t$ there is an infected particle at distance of order $t$ from the origin. In particular there exists $μ_\dagger>0$ such that $η_c(\infty,μ)<η_c^{\mathrm{B}}$ for every $μ<μ_\dagger$, and as $μ\downarrow0$ the set of intensities at which the infection survives extends to all of $(0,η_c^{\mathrm{B}})$. We also show that the critical density is positive at every recovery rate, with a lower bound that does not depend on the infection rate, and that for $d\ge2$, at every intensity and every finite infection rate, the infection survives and spreads at positive speed once $μ$ is small enough.

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