IGEM:IMPERIAL/2006/project/Oscillator/Theoretical Analyses/Results/2D Model2: Difference between revisions
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= '''Basic Results on the Steady Points and Vector Field''' = | = '''Basic Results on the Steady Points and Vector Field''' = | ||
<b>Steady Points</b> | <b>Steady Points</b> | ||
* | *The Dynamical System has two stationary points | ||
:- (0, 0), which is always a saddle point | |||
:- (D/C, AC/(B(AoC+D)) which is always stable | |||
the resulting '''Vector Field''' is a slightly distorted version of the Vector Field of Lotka-Volterra: | |||
:::[[Image:Theoretical_Analysis_6c.PNG]] | :::[[Image:Theoretical_Analysis_6c.PNG]] | ||
= '''Limit cycles''' = | = '''Limit cycles''' = |
Revision as of 09:47, 28 October 2006
Bounded Prey Growth
Introduction
The assumptions made Lotka-Volterra equation are very remote to the ones made during the derivation of our model.
We start our analysis of our model by modifying the growth term of the prey population in Lotka-volterra:
ODE (Ordinary Differential Equation)
Physical interpretation of the equations
- The prey (AHL) production is limited by the limited number of promoters, which can be modelled by a Michaelis-Menten-like kinetics. For very small values of the prey-population (X) the growth can still be assumed proportional to the population (as with Lotka-Volterra). However, for larger populations it becomes constant as the system reaches saturation due to the limited number of promoters.
- For all the other terms of the system the assumptions made for Lotka-Volterra remain.
Basic Results on the Steady Points and Vector Field
Steady Points
- The Dynamical System has two stationary points
- - (0, 0), which is always a saddle point
- - (D/C, AC/(B(AoC+D)) which is always stable
the resulting Vector Field is a slightly distorted version of the Vector Field of Lotka-Volterra:
Limit cycles
- Clearly, the second stable stationary point will ensure the system is stable.
- Trajectories will be remain bounded for all the different parameters
Results of Dynamic Analysis
- 2 stationary points, (0, 0) – saddle, (d/c, V*c/b/(k*c+d)) – stable
- Thus we are expected to get a damped oscillation with this model
Conclusion
Summary of Results
- With the change in the equation, we could see the drastic change in the system behaviour
- Hence it is important to carefully analysis each model to check whether we are able to get the required oscillation
Appendices
Related documents
- Stability analysis