 
    
    
         
This system has a nontrivial equilibrium state, given
by  and
 and  , where
, where
In the rest of this paper the algebra and simulations 
will be performed with non-dimensionalized systems.
Nondimensionalizing the system, by changing variables, reduces the
number of parameters in the system and allows us to examine all at
once a set of parameters which lead to the same  mathematical behavior.
For example, as we will
see, all parameter choices 
with the same values of  yield the
same dynamical behavior, no matter what r,
 yield the
same dynamical behavior, no matter what r,  and
 and  are.
In order to interpret results, we will sometimes come back to the original
variables and parameters.
 are.
In order to interpret results, we will sometimes come back to the original
variables and parameters.
We use the equilibrium values of N and K, and the rate of resource replenishment r, to nondimensionalize the system by letting
This gives the nondimensionalized system:
with only one parameter remaining:
 
 gives a measure of the ratio between the rate of decay of capital and
the replenishment rate of the resources.
 gives a measure of the ratio between the rate of decay of capital and
the replenishment rate of the resources.
This system has two
equilibria at  = (0, 0) and (1, 1).
The equilibrium around the origin is unstable.
 = (0, 0) and (1, 1).
The equilibrium around the origin is unstable.
Linearizing around the point (1,1) gives:
 
which has eigenvalues  .
This equilibrium is always stable. If
.
This equilibrium is always stable. If  this equilibrium is
reached without oscillations.
 If
 this equilibrium is
reached without oscillations.
 If  oscillations decay toward the 
equilibrium. The magnitude of the oscillations of course depends on
the initial conditions, being larger the further the initial system is from equilibrium (figures 6 and 14). 
These oscillations are
the dramatic oscillations that are observed by numerical simulations
in figure 2 for instance. In the limit of small
 oscillations decay toward the 
equilibrium. The magnitude of the oscillations of course depends on
the initial conditions, being larger the further the initial system is from equilibrium (figures 6 and 14). 
These oscillations are
the dramatic oscillations that are observed by numerical simulations
in figure 2 for instance. In the limit of small  , the oscillation frequency is:
, the oscillation frequency is:
 
where the r factor comes from changing back the time scale from  to t.
to t.
Resource depletion as a function of the distance of the initial conditions
from equilibrium can also
be estimated 
analytically, at least when solutions are so close to equilibrium 
that
the linear approximation is valid.
Figure 3 shows that we have to relate  , the 
relative resource 
depletion at time t,
where t is the time for the system to rotate
, the 
relative resource 
depletion at time t,
where t is the time for the system to rotate  around equilibrium,
to
 around equilibrium,
to  , the initial relative deviation of capital from equilibrium
(relative here refers for instance to the ratio of initial 
capital to capital at equilibrium).
, the initial relative deviation of capital from equilibrium
(relative here refers for instance to the ratio of initial 
capital to capital at equilibrium).
 
where  and
 and  are the real and imaginary part of
 are the real and imaginary part of 
 . The ratio of
. The ratio of  and
 and  is obtained from equation 11,
where the time derivative of x is replaced by
 is obtained from equation 11,
where the time derivative of x is replaced by  .
.
We can then define the linear fragility f of any bio-economic system with overshoot and depletion by:
which gives:
   
 for system 3-4. High fragility refers to a strong resource depletion following any initial departure for equilibrium. Linear fragility
can a priori take any value between 0 and infinity. The variations
of f with  are represented on figure 4.
 are represented on figure 4.
   
Figure 4:  Linear fragility, defined in the text as the ratio
between maximum relative resource depletion to initial relative capital 
distance to equilibrium ( see figure  3)
is represented as a function of  defined by equation  9. Computation is done 
according to equation  17. The fragility of the
system increases when the renewal rate of the resource is
much faster than capital depreciation rate.
defined by equation  9. Computation is done 
according to equation  17. The fragility of the
system increases when the renewal rate of the resource is
much faster than capital depreciation rate.
 
 
    
   