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Discrete Difference Equation Models

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Presentation on theme: "Discrete Difference Equation Models"β€” Presentation transcript:

1 Discrete Difference Equation Models
Potential Entry Point Models

2 Possible Entry Point Models Single Equation Models
Linear Models Nonlinear Models Exponential Growth/Decay π‘₯ 𝑑+1 =π‘Ž π‘₯ 𝑑 Cell culture growth Drug decay Cohort mean annual survival (life tables) Linear Difference Equation π‘₯ 𝑑+1 =π‘Ž π‘₯ 𝑑 +𝑏 Drug dosing Harvesting/fisheries maximum sustainable yield Continent-island model (one-way gene flow) Population Growth with Resource Constraints Logistic Difference Equation π‘₯ 𝑑+1 = π‘₯ 𝑑 +π‘Ÿ π‘₯ 𝑑 1+ π‘₯ 𝑑 𝐾 Beverton-Holt Difference Equation π‘₯ 𝑑+1 = π‘Ÿ 𝐾π‘₯ 𝑑 𝐾+(π‘Ÿβˆ’1) π‘₯ 𝑑 Natural Selection Model π‘ž 𝑑+1 = 𝑀 2 1βˆ’ π‘ž 𝑑 π‘ž 𝑑 + 𝑀 3 π‘ž 𝑑 2 𝑀 1 1βˆ’ π‘ž 𝑑 𝑀 2 1βˆ’ π‘ž 𝑑 π‘ž 𝑑 + 𝑀 3 π‘ž 𝑑 2 Comparing different modes of selection

3 Scanning electron micrograph of E. coli
Optical Density of E. coli cell culture Table gives the optical density of an Escherichia coli cell culture measured every 30 minutes for 3 hours. The culture was grown in a nutrient solution at 37Β°C. Scanning electron micrograph of E. coli Arithmetic mean of ratios Q: What assumptions did we make in constructing this model? Q: Why are the ratios not exactly the same between time steps? Measurement error? Stochasticity? Geometric mean of ratios Median of ratios


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