Environmental Engineering Reference
In-Depth Information
−1
x
Figure 6.8. Spatiotemporal patterns of
φ
obtained as solutions of the 1D version of
( 6.11 ) calculated for A 1 =
A 2 =
1. Figure taken from Buceta et al. ( 2002a ).
respect to the rate of convergence to equilibrium in each of the two states, we can
replace the noise term in ( 6.13 ) with its average value. We obtain the (deterministic)
equation
∂φ
( r
,
t )
2
k 0 ) 2
=
f 1 [
φ
( r
,
t )] P
+
f 2 [
φ
( r
,
t )](1
P )
D (
+
φ
( r
,
t )
.
(6.14)
t
Thus, in this case, we can investigate pattern formation by referring to the aver-
age dynamics, using the methods presented for the deterministic case [Eqs. ( 5.18 )
and ( 5.19 )]. Although for P
=
0and P
=
1 the potential function defined as
f (
V (
)] has only one stable state, for inter-
mediate values of P bistability may emerge. When A 1 =
φ
)
=−
φ
)
=−
[ Pf 1 (
φ
)
+
(1
P ) f 2 (
φ
A 2 =
1and P
=
0
.
5, the
local dynamics are expressed by the function f
3 . In this system, stable
patterns emerge, as shown in Fig. 6.8 for the case of a 1D domain.
We need to stress again that, even though in this example patterns emerge as a result
of the random switching between two deterministic dynamics, these patterns are not
necessarily noise induced. In fact, Buceta and Lindenberg ( 2002a ) showed that the
same patterns would emerge even when the random forcing
= φ φ
ξ dn in ( 6.13 ) is replaced
with a deterministic periodic function driving the switching between the two states,
1 and 2. Thus, in this system, dichotomous noise is used as a random mechanism to
drive the repeated alternation between two deterministic states. However, deterministic
 
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