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Competition systems in a random environment: A convergence result
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UNSPECIFIED (2001) Competition systems in a random environment: A convergence result. STOCHASTIC ANALYSIS AND APPLICATIONS, 19 (6). pp. 945982.
Full text not available from this repository, contact author.Abstract
In this article, a competition system in a random environment is considered. There are two species of particles and each will propagate as follows. An individual particle will move according to a Poisson jump process on the lattice Z(d), split into two at a rate which is random, depending on the environment and die off at a rate which is random, depending on the environment. The main result is that, under the mass/speed rescaling (the particles are of mass epsilon while the reproduction and death rate are rescaled accordingly), as the mass of an individual particle tends to zero, the densities of the species are given precisely by the pair of coupled stochastic partial differential equations
d/dt U(x, t) = kappa (1)/2 DeltaU*x, t) + U(x, t)xi ((1)) (x, t)  gamma U1(x, t)V(x, t)
d/dt V(x, t) = kappa (2)/2 DeltaV(x, t) + V(x, t)xi ((2)) (x, t)  gamma U2(x, t)V (x, t),
where Delta is the 'Lattice Laplacian'. Here the kappa (i) are the diffusion rates of each species (which are assumed to be constant) and the gamma (i) are the parameters measuring the competitive effects of one species on the other. The quantities u and v denote the densities of the first and second species respectively. xi ((1)) and xi ((2)) denote 'noise' terms and are the rescaled differences between the natural birth rates and death rates respectively (i.e. the differences between the birth rates and the death rates in the absence of any other species).
In the mass/speed rescaling, the variance of the densities of each species has vanished, so that these equations give the precise evolution of the zeromass limit.
Item Type:  Journal Article  

Subjects:  Q Science > QA Mathematics  
Journal or Publication Title:  STOCHASTIC ANALYSIS AND APPLICATIONS  
Publisher:  MARCEL DEKKER INC  
ISSN:  07362994  
Official Date:  November 2001  
Dates: 


Volume:  19  
Number:  6  
Number of Pages:  38  
Page Range:  pp. 945982  
Publication Status:  Published 
Data sourced from Thomson Reuters' Web of Knowledge
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