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Logistic differential equations · Capacity K=4; Growth rate r=0.6

Evaluate at t=3 time units. Find the amount, instantaneous growth rate, and equilibrium capacity. Givens: Capacity K=4; Growth rate r=0.6.

Try the question, use a hint when you need one, and compare your reasoning with the worked solution. The animation starts with this chapter’s values; changing its controls explores a new case.

01 · Make a prediction

Your practice question

The logistic model is y′=0.6y(1−y/4) with y(0)=1/2 and capacity K=4. Evaluate at t=3 time units. Find the amount, instantaneous growth rate, and equilibrium capacity.

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02 · Explore the model

See the mathematical relationship move.

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Watch the relationship

Paused
Logistic differential equations · Capacity K=4; Growth rate r=0.6. Time: 0. Model amount: 0.5. Instantaneous growth: 0.263. Capacity: 4Growth approaches an equilibrium0402.55population model ytime t → · labeled axes rescale to this model
The model is deterministic with constant K≥1 and r>0, and the initial amount is fixed at one half. It is an ideal ODE, not a forecast validated against population data. Playback spans a finite interval.

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Make it your experiment

Change one value. Notice what follows.

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Time
0
Model amount
0.5
Instantaneous growth
0.263
Capacity
4

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From experiment to screen.

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The mathematical idea

Logistic growth reduces its proportional rate as the amount approaches a carrying capacity. The equilibrium K is not reached in finite time from the selected smaller initial value. The exact solution separates a model's asymptotic prediction from a finite animation endpoint. The logistic model is y′=0.6y(1−y/4) with y(0)=1/2 and capacity K=4. Evaluate at t=3 time units. The requested state occurs at 60% playback; use the exact target stated in the question for your calculation.

y′=ry(1−y/K); y(0)=1/2

03 · Reflect and transfer

Explain what changes and why.

Why does a small growth rate near capacity indicate saturation rather than a suddenly negative population?

This is a distinct guided scenario using a reusable mathematical model. Similar-looking diagrams can represent different given values and conclusions; they are not different mathematical theories.