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have: d
x
(
a
,
t
)/d
t
¼r
P
¼
grad
P
¼
∂
P
/
x
, where
∂
P
/
x
is the vector
∂
∂
(
,
x
n
).
The system is called dissipative, because the potential
P
decreases along trajectories
until attractors which are located on the minima of
P
.
∂
P
/
x
1
,
,
∂
P
/
x
n
)andthestate
x
is a vector of dimension
n
:
x
¼
(
x
1
,
∂
...
∂
...
4.2.8 Definition of a Hamiltonian dynamics
A dynamical system has a Hamiltonian dynamics if the velocity along its
trajectories is tangent to the contour lines projected on
E
from the surface represen-
tative of an energy function
H
defined on
E
:d
x
(
a
,
t
)/d
t
¼
tang
H
. If the dimension of
the system is 2, then the vector Tang
H
is equal to (
x
1
). The system
is said conservative, because the energy function
H
is constant along a trajectory.
H
/
x
2
,
∂
H
/
∂
∂
∂
4.2.9 Definition of a Mixed Potential-Hamiltonian Dynamics
A dynamical system has a mixed potential-Hamiltonian dynamics if the velocity
along its trajectories can be decomposed into two parts, one potential and one
Hamiltonian: d
x
(
a
,
t
)/d
t
grad
P
+ tang
H
. If the set of minima of
P
is a contour
line of the surface
H
on
E
, then its connected components are attractors of the
system.
¼
4.2.10 Definition of a Principal Potential Part Dynamics
A mixed potential-Hamiltonian system has a principal potential part dynamics, if
the ratio
between the norms of the potential part and the
Hamiltonian one tends to 0 when t tends to infinity.
k
tangH
k
=
k
grad
P
k
4.3 Examples of Robust and Non-Robust Regulatory
Networks
We will give as examples in the following some toy models coming from regulatory
networks studied more in details in (Demongeot et al.
2000
; Thellier et al.
2004
;
Cinquin and Demongeot
2005
; Forest and Demongeot
2006
; Forest et al.
2006
;
Jolliot and Prochiantz
2004
; Demongeot et al.
2007a
,
b
,
2008a
,
2009a
,
2010a
,
2011a
,
b
; Glade et al.
2007
; Demongeot and Fran¸oise
2006
; Ben Amor et al.
2008
;
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