Environmental Engineering Reference
In-Depth Information
Box 2.4: The master equation for processes driven by
Gaussian white noise
The master equation for a process driven by Gaussian white noise is known as the
Fokker-Planck equation; the derivation of the Fokker-Planck equation is a standard
problem treated in several textbooks on stochastic processes, including those of Parzen
( 1967 ), Gardiner ( 1983 ), and van Kampen ( 1992 ), among others. The interested reader
is referred to these topics for details. The Fokker-Planck equation corresponding to
Langevin equation ( 2.80 ) under the Stratonovich interpretation is
g (
t )]
p (
φ,
t )
=−
[ f (
φ
) p (
φ,
t )]
s gn
∂φ
∂φ
+
φ
)
[ g (
φ
) p (
φ,
.
(B2.4-1)
t
∂φ
This equation has the standard form of a convection-diffusion equation, with diffusion
coefficient s gn . The steady-state solution of Eq. ( B2.4-1 )is( 2.83 ). Transient solutions in
the form of time-dependent probability distributions exist in particular cases, including
the Ornstein-Uhlenbeck (O-U) process [represented by Eq. ( 2.80 ) with f (
φ
)
=− γφ
and g (
1]: In this case the transient solution is a Gaussian distribution with average
φ 0 e γ t and variance 2 s gn 1
φ
)
=
e 2 γ t , where
φ 0 is the initial state of the system.
Under Ito's interpretation, the Fokker-Planck equation corresponding to Langevin
equation ( 2.80 )is
2
p (
φ,
t )
=−
[ f (
φ
) p (
φ,
t )]
s gn
) 2 p (
+
2 [ g (
φ
φ,
t )]
,
(B2.4-2)
t
∂φ
∂φ
with the steady-state solution
) 2 exp
φ
φ )
s gn g (
C
g (
f (
p (
φ
)
=
φ ) 2 d
,
(B2.4-3)
φ
φ
where C is an integration constant that ensures that the pdf has unit area. Equation
( B2.4-3 ) differs from ( 2.83 ) only for the presence of the exponent 2 in the function g (
φ
)
in the denominator.
To exemplify the application of Eq. ( 2.83 ), we report the solutions for the two
examples previously defined.
Example 2.7: The steady-state pdf is
C exp 8
4
φ φ
p (
φ
)
=
.
(2.85)
4 s gn
Example 2.8: Under the Stratonovich interpretation, the steady-state pdf is
exp
+ φ
3
C
φ
4
φ
=
.
p (
)
(2.86)
2 s gn φ
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