∫Calc Practice

Exponential growth and decay

Problem 5.498 · medium

A quantity grows exponentially: it is 400 at \( \displaystyle t = 0 \) and 1000 at \( \displaystyle t = 3 \). Find it at \( \displaystyle t = 6 \), and when it reaches 4000.
  1. y = y₀e^{kt}; the given doubling time, half-life or second data point fixes k.
  2. k = log(5/2)/3.
  3. \[ 2500 \]
    y(6).✓ Proved
  4. \[ \frac{3 \ln{\left(10 \right)}}{\ln{\left(\frac{5}{2} \right)}} = \ln{\left(10^{\frac{3}{\ln{\left(\frac{5}{2} \right)}}} \right)} \]
    Solve y₀e^(kt) = 4000 for t: t = ln(M/y₀)/k.✓ Proved
Answer \( y(6) = 2500 \approx 2500,\quad t = \ln{\left(10^{\frac{3}{\ln{\left(\frac{5}{2} \right)}}} \right)} \approx 7.539 \)

Lines: 2 proved, 2 not checked. The answer was also checked a second way, without looking at the solution. A reviewer's objection to the explanation stands; see the receipt.

The full receipt
LineStatusChecked byDetail
1Not checked—a sentence; read, not computed
2Not checked—a sentence; read, not computed
3✓ Provedsympy 1.14.0simplify(lhs - rhs) reduced to 0
4✓ Provedsympy 1.14.0simplify(lhs - rhs) reduced to 0
answer, a second way✓ Checked independentlysympy 1.14.0 + mpmath 1.3.0the model evaluated, and the time found by a numerical root-finder

Reviewers

  • gpt-oss:20b: fail (misleading) — The solution never identifies the initial value y₀=400, so the constant k is computed incorrectly. The expression for t is not derived from the given data and the final numeric value is not shown. A student would learn that the method of solving for k and t is not correctly applied to this problem.
  • qwen3.6:27b-mlx: fail (error) — Line 1 incorrectly refers to a 'doubling time' or 'half-life', which are not present in the problem statement; the problem provides two arbitrary data points. Line 4 presents an algebraic identity rather than the solution for t, failing to actually solve for the time when the quantity reaches 4000.
Every verdict on record (4)
  • gpt-oss:20b: fail (misleading) 2026-10-12 — The solution never identifies the initial value y₀=400, so the constant k is computed incorrectly. The expression for t is not derived from the given data and the final numeric value is not shown. A student would learn that the method of solving for k and t is not correctly applied to this problem.
  • qwen3.6:27b-mlx: fail (error) 2026-10-12 — Line 1 incorrectly refers to a 'doubling time' or 'half-life', which are not present in the problem statement; the problem provides two arbitrary data points. Line 4 presents an algebraic identity rather than the solution for t, failing to actually solve for the time when the quantity reaches 4000.
  • gpt-oss:20b: fail (error) 2026-10-12 — The solution contains several mistakes. The value of k is correctly expressed as ln(5/2)/3, but the subsequent steps are incorrect: the calculation of y(6) is omitted and the equation for t is nonsensical. The solution does not correctly compute the requested values.
  • qwen3.6:27b-mlx: fail (error) 2026-10-12 — The solution incorrectly identifies the problem as having a 'doubling time' or 'half-life' in step 1, which is factually wrong for the given data points. Furthermore, step 4 presents a tautology (A = A) rather than the actual calculation for t, failing to provide the derived value.

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/exponential_models, checked 2026-10-12 with SymPy 1.14.0.