Population Growth
Exponential Equations for Modeling Growth
Genetic Drift
Mutation, Gene Flow, and Genetic Drift
Diffusion
Diffusion
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Generating Controlled, Dynamic Chemical Landscapes to Study Microbial Behavior
Published on: January 31, 2020
Hao Kang1, Shigui Ruan1, Xiao Yu2
1Department of Mathematics, University of Miami, Coral Gables, FL 33146 USA.
This study develops foundational theory for age-structured population models with nonlocal diffusion, a more realistic approach than random diffusion. We analyze spectral properties to determine the stability of population dynamics, providing insights into population persistence and structure.
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