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5. In the next class, we will be returning to population models, now involving interaction between two populations. In order to understand these more complicated
5. In the next class, we will be returning to population models, now involving interaction between two populations. In order to understand these more complicated models, it '3 important to have a rm grasp of population models for a single population in isolation. This problem recaps the dierent population models we've looked at so far. (a) When a population lives in an environment with abundant resources and little strife, the rate at which the population grows is modeled as being proportional to the population size. i. Suppose a population of bees behaves in this way. Write a differential equation for B(t), the population of bees at time t. ii. Suppose that there are 900 bees at time t = 0 and 1200 bees at time t = 1. How many bees are there at time t? (b) When a population loses its food source for some reason, we often model the population as dying off at a rate proportional to its size. Write a differential equation modeling this situation; please explain the meaning of any variables you use in your differential equation. What is the general solution of this differential equation? (c) Give a brief explanation of the logistic equation (imagine that you are explaining it to a friend who has forgotten it completely). What phenomenon does the logistic equation model? What does the term carrying capacity mean? What does a logistic equation look like, and how does the carrying capacity gure in the logistic equation
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