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Characteristic equations for the steady states.

In this section we will derive the characteristic equation from which the stability of the equilibria (Eqs. 22-24) of the metapopulation model (Eqs. 19-21) can be determined. To do so we first linearize system (Eqs. 19-21) around b and tex2html_wrap_inline2064 . Thereafter we insert an exponential trial solution, which directly gives the wanted equation.

For the linearization define the deviations from the steady states as

eqnarray729

Substitution in (Eqs. 19-21) and Taylor expansion up to first order results in

  eqnarray734

and

  eqnarray771

If we now insert the exponential trial solution

displaymath2412

define tex2html_wrap_inline2420 , and tex2html_wrap_inline2422 , and use the fact that tex2html_wrap_inline2424 are only dependent on D through x, we get the characteristic equations

  eqnarray792

and,

  equation804

in which

    eqnarray814

are quantities still left to be computed. If we define

  equation832

and follow the derivations laid out in appendix C, then (Eqs. 47,49,50) are computed from the differential equations

    eqnarray842

in which

eqnarray865

The initial conditions for these ode's are

displaymath2413

Equation (52) can be solved resulting in

  equation879

Now Eq. (48) can be written as

  equation889

If tex2html_wrap_inline2220 is constant and if there are only total disasters, then tex2html_wrap_inline2432 and the linearized equations simplify to an uncoupled system of characteristic equations: one equation for the patch dynamics

  equation900

which has dominant eigenvalue tex2html_wrap_inline2434 , and therefore the steady-state age distribution is neutrally stable, and another equation for the population living on this neutrally stable distribution

  equation907



John Val
Wed Feb 26 07:30:07 EST 1997