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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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