∫Calc Practice

The logistic equation

Problem 6.261 · hard

A population follows the logistic model with growth rate \( \displaystyle r = 1 \) per year, carrying capacity 1000, and initial population 100. Find \( \displaystyle P(t) \), \( \displaystyle P(2) \), and when the population reaches 500.
  1. Equilibria: P = 0 and P = K = 1000. The solution has the form P = K/(1 + Ae^(−rt)) with A = (K − P₀)/P₀.
    Reviewed
  2. \[ 9 \]
    A.✓ Proved
  3. \[ \frac{d}{d t} \frac{1000}{1 + 9 e^{- t}} = \frac{1000 - \frac{1000}{1 + 9 e^{- t}}}{1 + 9 e^{- t}} \]
    This P(t) satisfies the differential equation.✓ Proved
  4. \[ 100 \]
    and the initial condition.✓ Proved
  5. \[ \frac{1000}{1 + \frac{9}{e^{2}}} = \frac{1000 e^{2}}{e^{2} + 9} \]
    P(2).✓ Proved
  6. \[ \ln{\left(9 \right)} \]
    Half the carrying capacity when Ae^(−rt) = 1, i.e. t = ln(A)/r.✓ Proved
Answer \( P(t) = \frac{1000}{1 + 9 e^{- t}},\ P(2) \approx 450.9,\ t = \ln{\left(9 \right)} \approx 2.197 \)

✓ Nihil obstat Lines: 5 proved, 1 reviewed. The answer was also checked a second way, without looking at the solution. Reviewers found nothing wrong with the explanation.

The full receipt
LineStatusChecked byDetail
1Reviewedreviewers: gpt-oss:20b, qwen3.6:27b-mlxa sentence; read, not computed
2✓ Provedsympy 1.14.0simplify(lhs - rhs) reduced to 0
3✓ Provedsympy 1.14.0simplify(lhs - rhs) reduced to 0
4✓ Provedsympy 1.14.0simplify(lhs - rhs) reduced to 0
5✓ Provedsympy 1.14.0simplify(lhs - rhs) reduced to 0
6✓ Provedsympy 1.14.0simplify(lhs - rhs) reduced to 0
answer, a second way✓ Checked independentlysympy 1.14.0 + mpmath 1.3.0the differential equation solved numerically (Taylor-series ODE solver) from P(0)

Reviewers

  • gpt-oss:20b: pass
  • qwen3.6:27b-mlx: pass — The solution correctly derives the logistic function, verifies the differential equation and initial condition, and accurately computes the specific values requested.
Every verdict on record (4)
  • gpt-oss:20b: pass 2026-10-06
  • qwen3.6:27b-mlx: pass 2026-10-06 — The solution correctly derives the logistic function, verifies the differential equation and initial condition, and accurately computes the specific values requested.
  • qwen3.6:27b-mlx: pass 2026-10-06 — The solution correctly identifies the logistic growth formula, calculates the constant A, and derives the specific values for P(2) and the time to reach half the carrying capacity. The steps are logically sound and mathematically correct.
  • gpt-oss:20b: pass 2026-10-06

Proved: SymPy reduced the difference between the two sides to zero. Checked independently: a separate method, named above, confirmed it. Checked numerically: the two sides agree at every sampled point, which is evidence, not proof. Reviewed: a model or a person read it; that is all a sentence can have. Solution by generator:structured/logistic_equation, checked 2026-10-06 with SymPy 1.14.0.