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4
β
0
3
β
0
2
β
0
0
β
k
2
β
4
β
6
β
8
β
10
β
Figure 3.4. Scenario of the steady-state pdf's for the Verhulst model driven by sym-
metric multiplicative noise. k is the switching rate,
is the amplitude of the noise.
directly the expression of p (
φ
)givenby( 3.20 ) we obtain
2 ;
p (0)
=∞ ,
if
β
(2 k
+ β
)
<
φ = 0 →∞ ,
d p (
φ
)
2
p (0)
=
0
,
if
β
( k
+ β
)
<
(2 k
+ β
);
d
φ
φ = 0 =
d p (
φ
)
2
p (0)
=
0
,
0
,
if
( k
+ β
)
.
d
φ
) are shown in Fig. 3.4 . We observe a remarkable variety
of possible behaviors ( Kitahara et al. , 1980 ), depending on the autocorrelation scale
τ c =
The different shapes of p (
φ
2 of noise. With respect to the additive case (see Fig. 3.2 ),
we can recognize the impact of the multiplicative form of the noise, which induces
a greater variety of dynamical behaviors. In particular, in the case of multiplicative
noise the deterministic steady state
1
/
(2 k ) and amplitude
φ = β
is never a mode or antimode of the pdf
because
0, i.e., in the absence of noise.
In the case of asymmetric dichotomous noise (i.e.,
φ = β
is a solution of Eqs. ( 3.22 ) only if
=
1 = 2 ) the third term in
Eq. ( 3.3 ) also plays a role, further increasing the variety of possible noise-induced
transitions.
3.2.1.3 Periodic forcing as a term of comparison
To understand the real role of noise in systems forced by a random dichotomous
driver, it is useful to assess whether qualitatively similar phenomena would appear if
 
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