Logistic growth: carrying capacity and fastest growth

About this lesson

Calculus BC (AP-aligned) › Euler's method and logistic models

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Logistic growth: carrying capacity and fastest growth

Euler's method and logistic models.

Warm-up

Three quick questions from earlier lessons.

Discover

A population starts at 10 and follows a logistic model with carrying capacity kk. Move kk.

Logistic curves starting at 10 with carrying capacity k: slow growth, then fast growth in the middle, then levelling off at k.

Where on the curve is the population growing fastest?

  1. Halfway to kk
  2. Just before it reaches kk

Key idea

Growth slows as resources run out.

Logistic model: dPdt=rP(1−PK)\dfrac{dP}{dt} = rP\left(1 - \dfrac{P}{K}\right). Equilibria P=0P = 0 and P=KP = K (the carrying capacity). For 0<P00 < P_0, P(t)→KP(t) \to K. Growth is fastest at P=K2P = \tfrac{K}{2}.

Worked example

dPdt=0.4P(1−P500)\dfrac{dP}{dt} = 0.4P\left(1 - \dfrac{P}{500}\right).

Carrying capacity K=500K = 500
Set the rate to 0.
Fastest growth at P=250P = 250
Half of K.
Maximum rate 5050 per unit time
0.4 × 250 × ½.

Your turn, guided

Your turn: dPdt=0.2P(1−P800)\dfrac{dP}{dt} = 0.2P\left(1 - \dfrac{P}{800}\right). Fastest growth at…

P=400P = 400
K/2.

Practice ★

  1. A population follows dPdt=710P(1−P558)\dfrac{dP}{dt} = \dfrac{ 7 }{10}P\left(1 - \dfrac{P}{ 558 }\right). What is its carrying capacity?
  2. A population follows dPdt=910P(1−P428)\dfrac{dP}{dt} = \dfrac{ 9 }{10}P\left(1 - \dfrac{P}{ 428 }\right). What is its carrying capacity?
  1. dPdt=310P(1−P280)\dfrac{dP}{dt} = \dfrac{ 3 }{10}P\left(1 - \dfrac{P}{ 280 }\right). For which population PP is it growing fastest?
  2. dPdt=910P(1−P590)\dfrac{dP}{dt} = \dfrac{ 9 }{10}P\left(1 - \dfrac{P}{ 590 }\right). For which population PP is it growing fastest?

Watch out!

Practice ★★

  1. dPdt=0.2P(1−P750)\dfrac{dP}{dt} = 0.2P\left(1 - \dfrac{P}{ 750 }\right) with P(0)>0P(0) > 0. Tick all the true statements.
    1. P=0P = 0 and P=750P = 750 are equilibrium solutions
    2. If P(0)>750P(0) > 750, then PP decreases towards 750
    3. lim⁡t→∞P(t)=750\displaystyle\lim_{t \to \infty} P(t) = 750
    4. Starting below 750, PP eventually exceeds 750
    5. lim⁡t→∞P(t)=0.2\displaystyle\lim_{t \to \infty} P(t) = 0.2
  1. Boss problem. dPdt=210P(1−P388)\dfrac{dP}{dt} = \dfrac{ 2 }{10}P\left(1 - \dfrac{P}{ 388 }\right).

Exit ticket

Three questions to check you have got it.

  1. dPdt=310P(1−P280)\dfrac{dP}{dt} = \dfrac{ 3 }{10}P\left(1 - \dfrac{P}{ 280 }\right). For which population PP is it growing fastest?
  2. dPdt=910P(1−P590)\dfrac{dP}{dt} = \dfrac{ 9 }{10}P\left(1 - \dfrac{P}{ 590 }\right). For which population PP is it growing fastest?
  3. dPdt=110P(1−P342)\dfrac{dP}{dt} = \dfrac{ 1 }{10}P\left(1 - \dfrac{P}{ 342 }\right). For which population PP is it growing fastest?

Summary card

Logistic growth

  • P′=rP(1−P/K)P' = rP(1 - P/K); equilibria 00 and KK.
  • P→KP \to K; fastest growth at K/2K/2.

Watch out: rr is a rate, KK is a population.

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