1992/01/01 by George W. A. Constable, Alan J. McKane, Evert Pieter Houwman +6 · 1 citation
Biochemistry, Genetics and Molecular Biology · Engineering · Mathematics · Medicine · Physics and Astronomy · Social Sciences · #Biology #Competition (biology) #Competition model #Computer science #Condensed matter physics #Current (fluid) #Demography #Ecology #Economics #Electrical engineering #Engineering #Evolution and Genetic Dynamics #Evolutionary Game Theory and Cooperation #Josephson effect #Limiting #Mathematical and Theoretical Epidemiology and Ecology Models #Mathematics #Neoclassical economics #Physics #Physics of Superconductivity and Magnetism #Pi Josephson junction #Population #Population model #Quantum and electron transport phenomena #Quantum mechanics #Quantum tunnelling #Scale (ratio) #Selection (genetic algorithm) #Statistical physics #Statistics #Stochastic modelling #Superconducting Materials and Applications #Superconductivity #Tunnel junction #cond-mat.stat-mech #q-bio.PE
paper · pdf · doi:10.1103/physrevlett.114.038101
published in Physical Review Letters 114(3), 255-263 (American Physical Society) · 5 pages, 4 figures
openalex publication_date 1992/01/01 · arxiv created 2015/04/14 · arxiv updated 2015/04/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/06/11
The relationship between the Moran model and stochastic Lotka-Volterra competition (SLVC) model is explored via time scale separation arguments. For neutral systems the two are found to be equivalent at long times. For systems with selective pressure, their behavior differs. It is argued that the SLVC is preferable to the Moran model since in the SLVC population size is regulated by competition, rather than arbitrarily fixed as in the Moran model. As a consequence, ambiguities found in the Moran model associated with the introduction of more complex processes, such as selection, are avoided.