Contact process (mathematics)
Encyclopedia
The contact process is a model of an interacting particle system. It is a continuous time Markov process
with state space , where is a finite or countable graph
, usually Z. The process is usually interpreted as a model for the spread of an infection: if the state of the process at a given time is , then a site in is "infected" if and healthy if . Infected sites become healthy at a constant rate, while healthy sites become infected at a rate proportional to the number infected neighbors. One can generalize the state space to , such is called the multitype contact process. It represents a model when more than one type of infection is competing for space.
More specifically, the dynamics of the basic contact process is defined by the following transition rates: at site ,
where the sum is over all the neighbors in of . This means that each site waits an exponential time with the corresponding rate, and then flips (so 0 becomes 1 and viceversa).
For each graph there exists a critical value for the parameter so that if then the 1's survive (that is, if there is at least one 1 at time zero, then at any time there are ones) with positive probability, while if then the process dies out. For contact process on the integer lattice, a major breakthrough came in 1990 when Bezuidenhout and Grimmett showed that the contact process also dies out at the critical value. Their proof makes use of percolation theory
.
and Steif (1993) and Steif (1994) show that for large radii there is a critical value such that if most individuals never change, and for in the limit most sites agree. (Both of these results assume the probability of is one half.)
This process has a natural generalization to more dimensions, some results for this are discussed in Durrett
and Steif (1993).
(1985, 226), "Periodically (i.e., at independent exponential times), an individual reassesses his view in a rather simple way: he chooses a 'friend' at random with certain probabilities and adopts his position." A model was constructed with this interpretation first by Holley and Liggett
(1975).
This process is analogous to a process first suggested by Clifford and Sudbury (1973) where animals are conflicting over territory and the animals are equally matched. A site is selected to be invaded by a neighbor at a given time.
Markov process
In probability theory and statistics, a Markov process, named after the Russian mathematician Andrey Markov, is a time-varying random phenomenon for which a specific property holds...
with state space , where is a finite or countable graph
Graph (mathematics)
In mathematics, a graph is an abstract representation of a set of objects where some pairs of the objects are connected by links. The interconnected objects are represented by mathematical abstractions called vertices, and the links that connect some pairs of vertices are called edges...
, usually Z. The process is usually interpreted as a model for the spread of an infection: if the state of the process at a given time is , then a site in is "infected" if and healthy if . Infected sites become healthy at a constant rate, while healthy sites become infected at a rate proportional to the number infected neighbors. One can generalize the state space to , such is called the multitype contact process. It represents a model when more than one type of infection is competing for space.
More specifically, the dynamics of the basic contact process is defined by the following transition rates: at site ,
where the sum is over all the neighbors in of . This means that each site waits an exponential time with the corresponding rate, and then flips (so 0 becomes 1 and viceversa).
For each graph there exists a critical value for the parameter so that if then the 1's survive (that is, if there is at least one 1 at time zero, then at any time there are ones) with positive probability, while if then the process dies out. For contact process on the integer lattice, a major breakthrough came in 1990 when Bezuidenhout and Grimmett showed that the contact process also dies out at the critical value. Their proof makes use of percolation theory
Percolation theory
In mathematics, percolation theory describes the behavior of connected clusters in a random graph. The applications of percolation theory to materials science and other domains are discussed in the article percolation.-Introduction:...
.
Voter model
The voter model (usually in continuous time, but there are discrete versions as well) is a process similar to the contact process. In this process is taken to represent a voter's attitude on a particular topic. Voters reconsider their opinions at times distributed according to independent exponential random variables (this gives a Poisson process locally-- note that there are in general infinitely many voters so no global Poisson process can be used). At times of reconsideration, a voter chooses one neighbor uniformly from amongst all neighbors and takes that neighbor's opinion. One can generalize the process by allowing the picking of neighbors to be something other than uniform.Discrete time process
In the discrete time voter model in one dimension, represents the state of particle at time . Informally each individual is arranged on a line and can "see" other individuals that are within a radius, . If more than a certain proportion, of these people disagree then the individual changes her attitude, otherwise she keeps it the same. DurrettRick Durrett
Richard Timothy Durrett is a mathematician known for his research andbooks on mathematical probability theory, stochastic processes and theirapplication to mathematical ecology and population genetics....
and Steif (1993) and Steif (1994) show that for large radii there is a critical value such that if most individuals never change, and for in the limit most sites agree. (Both of these results assume the probability of is one half.)
This process has a natural generalization to more dimensions, some results for this are discussed in Durrett
Rick Durrett
Richard Timothy Durrett is a mathematician known for his research andbooks on mathematical probability theory, stochastic processes and theirapplication to mathematical ecology and population genetics....
and Steif (1993).
Continuous time process
The continuous time process is similar in that it imagines each individual has a belief at a time and changes it based on the attitudes of its neighbors. The process is described informally by LiggettThomas M. Liggett
Thomas Milton Liggett is a mathematician at the University of California, Los Angeles. He works in probability theory, specializing in interacting particle processes....
(1985, 226), "Periodically (i.e., at independent exponential times), an individual reassesses his view in a rather simple way: he chooses a 'friend' at random with certain probabilities and adopts his position." A model was constructed with this interpretation first by Holley and Liggett
Thomas M. Liggett
Thomas Milton Liggett is a mathematician at the University of California, Los Angeles. He works in probability theory, specializing in interacting particle processes....
(1975).
This process is analogous to a process first suggested by Clifford and Sudbury (1973) where animals are conflicting over territory and the animals are equally matched. A site is selected to be invaded by a neighbor at a given time.