2017
DOI: 10.1002/mma.4680
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A class of microscopic individual models corresponding to the macroscopic logistic growth

Abstract: Communicated by: J. Banasiak MOS Classification: 60J75; 92D25; 35Q92; 35R09; 37N25; 45K05We study a class of microscopic models corresponding to the standard macroscopic logistic equation. The models at microscale refer to a number of interacting individuals and are in terms of linear evolution equations related to Markov jump processes. The asymptotic large time behavior for the microscopic models is obtained. Moreover, it is shown that any, even nonfactorized, initial probability density tends in the evoluti… Show more

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Cited by 3 publications
(12 citation statements)
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“…where c N is a positive (> 0) constant (that depends on N and a + ). Because f N = 1 we obtain (17) e…”
Section: Stabilitymentioning
confidence: 99%
See 3 more Smart Citations
“…where c N is a positive (> 0) constant (that depends on N and a + ). Because f N = 1 we obtain (17) e…”
Section: Stabilitymentioning
confidence: 99%
“…It would lead to the full scale description of the process in question. One may observe that except some particular cases -see [17,25] and references thereinthat generally could be quite complex. The main question is what we are going to consider as a basic scale.…”
Section: Research Perspectivesmentioning
confidence: 99%
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“…We state general conditions guaranteeing the asymptotic stability. In particular under some rather restrictive assumptions we observe that any, even non-factorized, initial probability density tends in the evolution to a factorized equilibrium probability density - [16]. We discuss possible applications of the general theory such as redistribution of individuals -[10], thermal denaturation of DNA [7], and tendon healing process - [11].…”
mentioning
confidence: 99%