Chapter 5 Flashcards

1
Q

What is a dynamic equilibrium?

A

No net change in the system although individual rates are not equal to 0

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2
Q

What is a static equilibrium?

A

No change in the system; individual rates are equal to zero

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3
Q

What are two key system characteristics?

A
  1. Equilibria
  2. time coefficient
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4
Q

What does it mean when an equilibrium is stable?

A

It means after the system has a change it returns to the previous equilibrium.

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5
Q

When does a system have a stable equilibrium?

A

When it has negative feedback. This is because when a state has a value above the equilibrium the rates result negative while if it’s below the rates are positive. The rates decrease towards the equilibrium.

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6
Q

What happens when a system has a positive feedback?

A

A positive feedback has the opposite effect of a negative one. Systems tend to move away from their equilibria. ex. Exponential growth - when state is positive rates are positive and will increase with increasing rates.

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7
Q

What is the equation for time coefficient?

A

TC = |(S_equilibrium - S_t)/(dS/dt)|
or
TC = 1/”whatever is multiplied by the state”
works for both exponential and logistic systems

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8
Q

What is the time coefficient?

A

TC is the time needed for the model to reach its equilibrium state if the rate of change was fixed.

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9
Q

What is the average residence time?

A

ART is the average length of time that an entity will remain in a system.

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10
Q

What is the formula for ART in exponential growth?

A

ART = TC or = 1/c

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11
Q

What is the equation for an exponantial decay model?

A

A_t = A_0 * e^(-t/TC)

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12
Q

What is the equation for Euler’s scheme?

A

State _1+delta_t = state_t + delta_t * (dstate/dt)

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13
Q

What does the inverse of TC represent?

A

The inverse of TC (1/TC) represents the relative growth rate.

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14
Q

How can we estimate a good delta T for the model?

A

delta_t = TC / 10

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15
Q

What happens if delta_T is equal to TC?

A

The equilibrium is directly reached in 1 time step.

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16
Q

What is the principle of time step convergence?

A

Differences in outcomes as function of time become ever smaller with decreasing time-steps until no further change is observed. This should happen, if not, the model may contain unit errors or otherwise not be trustworthy.

17
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19
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20
Q
A