Background
The exponential model is
used to study uninhibited population growth and solution is the exponential
function . When
the term
is added we obtain the logistic differential equation which is used to model
inhibited population growth or bounded population growth. The logistic
differential equation is
.
One form of the solution is
.
The terms have been carefully determined so that the initial condition is
.
The limiting value L of y(t) is
given by
.
The graph is the so called "S-shaped" curve. The choice of parameters creates
the curve shown below.
Harvesting a Logistic Population
When the harvesting term -k is
incorporated into into bounded population model we have
.
There are three solution forms for this
differential equation, and they correspond to the nature of the stationary
solutions ( x(t) = c).
Definition(Stationary Points) The
stationary points of the D. E. are
solutions where
and are the roots of the characteristic equation
.
The roots are known to be , and
the stationary solutions are .
Remark. Since x(t) is
a real function, there are no stationary solutions when .
Case (i) If there
is one stationary solution
.
When , the
differential equation has the form and
the solution is
.
The solution with the initial condition is
.
If then .
If then
function x(t) has a vertical asymptote at
and the population x(t) becomes extinct at
some time (where
), i.
e.
.
Case (ii) If
there are two stationary solutions and .
When , the
differential equation has the form and
the solution is
.
The two real roots of the characteristic equation , are .
The solution with the initial condition is
.
If then .
If then
the population x(t) becomes extinct at some
time , i.
e. .
Case (iii) If
there are no stationary solutions.
When , the
differential equation has the form and
the solution is
.
The solution with the initial condition is
.
The function x(t) has a vertical asymptote
at
so the population x(t) becomes extinct at
some time (where
.),
i.e.
.
Numerical Solutions
If only the graph of the solution is required, and the formula is not
needed, then an efficient way to solve the differential equation is with a
numerical method such as Modified Euler's method or the Runge-Kutta method. The
choice of method depends on the accuracy required. If an accurate table of
numerical values is required then the Runge-Kutta method should be used.
Program
(Modified Euler's Method) To
compute a numerical approximation for the solution of the initial value problem
with
over
at a discrete set of points using the formula
.
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