Presentation on theme: "9. 1 Modeling with Differential Equations Spring 2010 Math 2644 Ayona Chatterjee."— Presentation transcript:
9. 1 Modeling with Differential Equations Spring 2010 Math 2644 Ayona Chatterjee
Motivation Mathematical models often take the form of a differential equation (DE). – That is, an equation that contains an unknown function and some of its derivatives. – In real world problems we are often interested in the changes that occur and if we can predict the behavior of the future based on the current changes.
Models of Population Growth One model for the growth of a population is based on the assumption that the population grows at a rate proportional to the size of the population. Let’s identify and name the variables in this model: – t time the independent variable – P the number of individuals in the population the dependent variable The rate of growth of the population is the derivative. So our assumption that the rate of growth of the population is proportional to the population size is written as 1
Model continued where k is the proportionality constant. Equation 1 is our first model for population growth; it is a differential equation because it contains an unknown function P and its derivative dP/dt. If we rule out a population of 0, then P(t)>0 for all t. So, if k >0, then Equation 1 shows that P’(t) > 0 for all t. This means that the population is always increasing. In fact, as P(t) increases, Equation 1 shows that dP/dt becomes larger. In other words, the growth rate increases as the population increases.
Family of Solutions Thus any exponential function of the form P(t)= Ce kt is a solution of Equation 1. Allowing C to vary through all the real numbers, we get the family of solutions P(t)= Ce kt whose graphs are shown in Figure 1.
Logistic Differential Equation Many populations start by increasing in an exponential manner, but the population levels off when it approaches its carrying capacity K (or decreases toward K if it ever exceeds K). For a model to take into account both trends, we make two assumptions:
Equation 2 is called the logistic differential equation and was proposed by the Dutch mathematical biologist Pierre-François Verhulst in the 1840s as a model for world population growth. We first observe that the constant functions P(t)=0 and P(t)= K are solutions because, in either case, one of the factors on the right side of Equation 2 is zero. (This certainly makes physical sense: If the population is ever either 0 or at the carrying capacity, it stays that way.) These two constant solutions are called equilibrium solutions.
General Differential Equations In general, a differential equation is an equation that contains an unknown function and one or more of its derivatives. The order of a differential equation is the order of the highest derivative that occurs in the equation. Thus, Equations 1 and 2 are first-order equations In all two of those equations the independent variable is called t and represents time, but in general the independent variable doesn’t have to represent time.
Solution of general DE A function f is called a solution of a differential equation if the equation is satisfied when y=f(x) and its derivatives are substituted into the equation. Thus f is a solution of Equation 4 if