Understanding Negative Feedback Systems: Equations, Dynamics, and Activation

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SUMMARY

This discussion focuses on the dynamics of negative feedback systems, specifically through the equations $$\frac{dx}{dt} = \beta - \gamma \cdot x$$ and $$\frac{dx}{dt} = \beta - \gamma(x) \cdot x$$. The conditions for steady state (xST) are defined based on the parameters β, γlow, γhigh, and K, leading to distinct cases for x < K and x ≥ K. The conversation highlights the importance of understanding when feedback is activated and how to solve the equation with initial conditions, specifically x(t=0)=0, to predict system behavior.

PREREQUISITES
  • Understanding of differential equations, particularly first-order linear equations.
  • Familiarity with concepts of steady state and dynamic systems.
  • Knowledge of feedback mechanisms in mathematical modeling.
  • Basic grasp of initial conditions in differential equations.
NEXT STEPS
  • Research the application of stability analysis in negative feedback systems.
  • Learn about the implications of varying parameters in dynamic equations.
  • Explore numerical methods for solving differential equations with initial conditions.
  • Study the role of feedback loops in control theory and system dynamics.
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Students and professionals in mathematics, engineering, and systems biology who are interested in modeling dynamic systems and understanding the implications of negative feedback mechanisms.

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Homework Statement
A protein X is produced at a constant rate β. Its degradation rate γ is controlled by its own concentration x, meaning that: if x < K then γ(x) = γ[SUB]low[/SUB], otherwise γ = γ[SUB]high[/SUB].
K is the repression threshold.

We have to follow an example given in class, which is very similar, that I attached.
Then answer the following questions:

1. Find the steady-state for different parameters.

2. For the case where feedback is activated in the steady-state, describe the dynamics of the system. Calculate the speedup of the dynamics here compared to the open loop case with the same steady-state?

3. Using the interval method, calculate the dynamics for a delay in the feedback in the extreme case where γ[SUB]low[/SUB] = 0. What is the pulse height as a function of the delay time?

4. Can you suggest a simple synthetic system where degradation based feedback can be studied?
Relevant Equations
See the attached file.
We express such equations by $$\frac{dx}{dt} = \beta - \gamma \cdot x$$, t denotes the time.
In this case, γ depends on x, thus the dynamic equation should probably be:
$$\frac{dx}{dt} = \beta - \gamma(x) \cdot x$$

1. Setting the equation to 0 leads to two different cases:
If x < K: xST = γlow / β
If x ≥ K: xST = γhigh / β

I can also say (like in the example), that it is dependent on β, so:
If β > γlow / k: xST = γlow / β
If β ≤ γhigh / k: xST = γhigh / β

I don't understand why in the example in this step the divided by K drops and why the ≤ becomes a <.

2. Now my biggest concern is, how do I see, in which case the feedback is activated and in which not?
Then I would take this case and try to solve the equation with initial condition x(t=0)=0.
Probably the outcome is very similar to the example.
How would I proceed?

Any help is very appreciated!
 

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No one any suggestions or ideas/thoughts? :)
 

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