Equilibria, Stability and Logistic Growth
Use a phase line to predict long-term behavior and solve a saturation model.
Builds on Bernoulli Equations and Substitutions
The bigger question: Which structure makes a first-order equation solvable?
On this page
The idea
For an autonomous equation , equilibrium values satisfy . The sign of between its zeros determines whether solutions rise or fall. Nearby arrows toward an equilibrium indicate attraction; arrows away indicate instability.
Visual guide
- Start at 2
- Start at 15
- Carrying capacity K = 10
Method and assumptions
For a differentiable , gives local asymptotic stability and gives instability. If the derivative is zero, inspect signs directly. Logistic growth is with . For positive initial data, , where .
Worked example: below capacity
With , and . The solution increases toward . At , the growth rate is maximal: .
Try it yourself.
Choose an answer and explain your reasoning to yourself. Use a hint if you get stuck.
Hint 1 · Find a starting point
Both nearby directions move toward the same level.
Hint 2 · Take the next step
Check that the right-hand side vanishes at y=1.
Show the reasoning
Answer: An attracting equilibrium
The equilibrium is locally asymptotically stable: nearby positive solutions approach 1.
Before moving on: what would make one of the other answers wrong? Saying why is part of understanding.
Worked example: a degenerate equilibrium
For , the only equilibrium is zero and . Solutions below zero rise toward it, while those above zero rise away and blow up. Zero is semistable, not asymptotically stable from both sides.
Interpreting the result
Carrying capacity is a modeling assumption, not a universal population law. Negative populations are mathematically possible in some equations but usually outside the model’s intended domain.
Practice
- Classify equilibria for .
- What happens for positive logistic initial data above ?
- Where is logistic growth fastest?
Show worked solutions
- is unstable and is asymptotically stable because derivatives are and .
- The derivative is negative, so the solution decreases toward .
- At , with rate .
Further study
MIT OpenCourseWare: Differential Equations provides a full university course with additional lectures and exercises.
Pause before the next idea.
Can you explain how the visualization connects to this lesson’s goal? If a step still feels uncertain, put this lesson on your review list and try the check again another day.