Math 2.0

Probability theory and stochastic processes Special processes Example

Contact process

Example

Let d≥1d \ge 1 and λ>0\lambda > 0. For x∈ℤdx \in \Z^d and η∈{0,1}ℤd\eta \in \set{0, 1}^{\Z^d}, let c(x,η)={1if η(x)=1,λ #{y∈ℤd:∣y−x∣=1, η(y)=1}if η(x)=0.c(x, \eta) = \begin{cases} 1 & \text{if } \eta(x) = 1, \\ \lambda \, \#\set{y \in \Z^d : \abs{y - x} = 1, \ \eta(y) = 1} & \text{if } \eta(x) = 0. \end{cases} The contact process on ℤd\Z^d with infection rate λ\lambda is the spin system on {0,1}ℤd\set{0, 1}^{\Z^d} with these flip rates. Here η(x)=1\eta(x) = 1 means that site xx is infected. An infected site recovers at rate 11, and a healthy site is infected at rate λ\lambda times its number of infected neighbours. The rates are bounded by max⁡(1,2dλ)\max(1, 2d\lambda) and each depends on 2d+12d + 1 sites, so it is an interacting particle system.

Remarks

The configuration with no infected site is absorbing. There is a critical value λc∈(0,∞)\lambda_c \in (0, \infty): started from one infected site, the infection dies out almost surely for λ<λc\lambda < \lambda_c and survives forever with positive probability for λ>λc\lambda > \lambda_c. A lower bound is λc≥1/(2d)\lambda_c \ge 1/(2d). Indeed, the number of infected sites is dominated by a branching process in which each individual dies at rate 11 and gives birth at rate 2dλ2d\lambda. This branching process dies out almost surely when 2dλ≤12d\lambda \le 1.

Further reading

  1. Web https://en.wikipedia.org/wiki/Contact_process_(mathematics)
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Changed2 November 2026

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