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for
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.
Proof Logistic Differential Equation Logistic Differential Equation
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 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.
.
Return to Numerical Methods - Numerical Analysis
(c) John H. Mathews 2004