Page 29 - Schaum's Outline of Differential Equations
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12              AN  INTRODUCTION TO MODELING AND QUALITATIVE METHODS             [CHAR  2




                  If  P(t)  is  close  to  100,000  (meaning that  100,000 -P(t)  ~0),  then  the  differential  equation  can  be  approxi-
               mated as P'(t)  ~ kP(t)(0)  = 0. An approximate solution to this is P(t)  = 100,000, since only a constant has a deriva-
               tive equal to 0. So "in the large",  P(t)  "levels off" to  100,000, the carrying capacity  of the population.
                  In this problem, we used a qualitative approach:  we were able to decipher  some information and express it in
               a descriptive way, even though we did not possess  the solution to the differential  equation. This type of equation is
               an example of a logistic population model  and is used extensively in sociological  studies. Also see Problem  7.7.

         2.11.  Sometimes differential  equations are "coupled" (see Chapter  17 and Chapter 25);  consider the  following
               system:








               Here, let R represent the number of rabbits in a population, while F represents the number of foxes, and
               t is time (months). Assume  this model reflects  the relationship between the rabbits and foxes. What does
               this model tell us?
                  This  system of  equations  (1) mirrors a "predator-prey"  relationship. The  RF  terms in both  equations  can  be
               interpreted as an "interaction  term". That is, both factors are needed  to have an effect  on the equations.
                  We see that the coefficient of R  in the  first  equation  is +2;  if there was  no RF  term in this equation, R would
               increase without bound. The -3  coefficient of RF has a negative impact on the rabbit population.
                  Turning  our attention  to the  second  equation,  we see that  F  is multiplied by a -  4,  indicating that  the fox
               population would decrease if they did not interact with rabbits. The positive coefficient for RF  indicates a positive
               impact on the fox population.
                  Predator-prey models are used extensively in many fields  ranging from  wildlife populations to military strategic
               planning. In many of these models qualitative methods are employed.



                                     Supplementary Problems


         2.12.  Using Problem  2.1.  find  a model  which converts temperatures from  degrees  on the Fahrenheit  scale  to degrees  on
               the Celsius  scale.

         2.13.  Charles'  law states that, for an ideal  gas at a constant pressure, — = k, where  V (liters), T (degrees Kelvin) and k is
               a constant  (lit/°K). What does this model tell us?
         2.14.  Discuss Newton's  second  law of motion:
         2.15.  Suppose a room  is being cooled according  to the model  where  t (hours) and  T (degrees Celsius).
               If  we begin the cooling process  at t = 0, when will this model  no longer hold? Why?
         2.16.  Suppose the room in Problem 2.15. was being cooled in such a way that  where the variables
               and conditions are as above. How long would it take for the room to cool  down to its minimum temperature? Why?
         2.17.  Consider  the model  discussed in Problem  2.5.  If we assume that the  system is both  "undamped"  and  "unforced",

               that is F(t) = 0 and a = 0, the equation reduces to  we letm = 1  and k = 4  for further  simplicity, we
               have          Suppose we know that y(t) = sin 2t, satisfies the model. Describe the motion of displacement, y(t).

         2.18.  Consider the previous problem. Find (a) the velocity function;  (b)  the acceleration  function.
         2.19.  Consider  the  differential  equation  Describe  (a)  the  behavior  of y  at y = 1 and  y = 2;  (b)  what
               lappens to y if y < 1;  (c) what happens to y  if  1 < y < 2;  (d)  what happens  to y  if y > 2.
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