121
with ui(0),u
2
(0) determined by (30) (see [10] for details).
We now discuss the notion of segregation in a simplified framework. We shall assume,
following [27], that the environmental potential U(x) is a smooth function such that the
corresponding enviromental flux satisfies q(x
0
) = 0 for a single point x
0
€ fi.
Definition 1 We say that the stationary problem (29)-(30) has the property of segrega-
tion if there exists a point
XQ
£ Q such that u\ and u
2
have a
local
maximum and minimum
at
XQ,
respectively (or vice versa).
Observe that, since q(xo) = 0, from (31) we find u\(x
0
) = u'
2
(x
0
) = 0, so we deduce
the existence of a critical point, x
0
, both for ui and u
2
. Taking derivatives in (31) and
evaluating at
Xo
we obtain
g(u
1
(x
0
),u
2
{x
0
))u"(x
0
) = -q
J
{x
0
)h
1
(ui(xo),U2{x
0
)),
g(u
1
(x
0
),U2(x
0
))u2(x
0
) = -q'{xo)h
2
(u
1
(xo),U2(xo)).
Therefore, segregation will take place if hi(ui(x
0
),u
2
(x
0
))h
2
(ui(x
0
),u
2
{x
Q
)) < 0. ^From
(32) we see that this is equivalent to one of the following conditions:
u
2
(x
0
)(d
i
- 2o
2
di) > di(c
2
+ ui(z
0
)), ui(x
0
)(di - 2aid
2
) > rf
2
(ci + u
2
(x
0
)). (34)
In the trivial case in which d\d
2
< 0, segregation does always occur. Notice that in
this case x
0
is an attractive point (from the environmental point of view) for one of
the populations and a repulsive point for the other. We may then analyze the case
di > 0, i = 1,2 (the case di < 0 is similar). From (34) we obtain a necessary condition
involving the diffusion coefficients, namely d
t
> 2a
t
dj, i,j = 1,2, i ^ j. Observe that if
none of these conditions are satisfied (no segregation) then the coefficients oi, a
2
satisfy
a\a
2
> 1/4, which is a condition in the same spirit as (9). On the other hand, since the
L°° norms of «; are bounded when di
—>
0, i = 1,2, see [10], we conclude that a sufficient
condition for segregation is that
di/d
2
is large or small enough.
We discretized problem (11)-(14), with no-flux boundary conditions and zero source
terms,
by a semi-implicit finite difference method and let tend t
—>
oo in order to obtain
steady-state solutions. The numerical experiments conducted show that, for a wide range
of model parameters and initial conditions, the numerical scheme is stable, which allows us
to show some different behaviours of the two interacting species included in the model. In
particular, it is interesting to observe when segregation of the two species, due to habitat
hetereogenity, does appear. We also used an iterative scheme based on the formulae (33)
and could verify that the solutions of (11)-(14), obtained in the large-time limit, coincide
with the solutions of the iterative scheme.
We show here numerical experiments corresponding to the following cases:
(a) Large and smallcross-diffusion terms. Set c; = d
t
= 1 and constant initial conditions
Mio = 10, «2o = 20. Then small a* correspond to large cross-diffusion and vice
versa. Figure 1 shows the numerical solution of model corresponding to values of
Oi = 0,0.1,10.