Biomathematics
Explore growth and populations; epidemics and reactions; space, evolution and inference. Concepts and connections are available independently of video coverage.
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Density-dependent growth slows toward a carrying capacity in the basic logistic model.
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Reviewed English material v2: card "Logistic Growth" at 6:21 — A more realistic model of population growth that produces an S-shaped (sigmoid) curve. It starts with exponential-like growth but slows as the population approaches the environment's carrying capacity, eventually leveling off.
Reviewed English material v1: card "Logistic growth model" at 1:15 — The logistic model is introduced as the bounded alternative to exponential growth. The slide names it "Aka sigmoidal" and associates it with competition for resources, a plateau, and carrying capacity K. The graph is S-shaped rather than J-shaped.
Reviewed English material v1: card "Exponential, logistic, and blow-up special cases" at 4:10 — Three examples are displayed as special cases of the same framework: the logistic equation corresponds to constant δ and β decreasing linearly with P, shown as dP/dt = kP(M-P).
A constant per-capita growth rate yields exponential population change.
Coupled equations represent predator–prey or competition interactions under simplified assumptions.
An ODE relates an unknown function of one variable to its derivatives.
Data constrain model parameters, with identifiability and uncertainty affecting interpretation.
Selection, mutation and interaction change trait or strategy frequencies.
Explore growth and populations; epidemics and reactions; space, evolution and inference. Concepts and connections are available independently of video coverage.