∫Calc Practice

Exponential growth and decay

Problem 5.495 · medium

A quantity grows exponentially: it is 200 at \( \displaystyle t = 0 \) and 500 at \( \displaystyle t = 2 \). Find it at \( \displaystyle t = 4 \), and when it reaches 2000.
  1. y = y₀e^{kt}; the given doubling time, half-life or second data point fixes k.
  2. k = log(5/2)/2.
  3. \[ 1250 \]
    y(4).✓ Proved
  4. \[ \frac{2 \ln{\left(10 \right)}}{\ln{\left(\frac{5}{2} \right)}} = \ln{\left(10^{\frac{2}{\ln{\left(\frac{5}{2} \right)}}} \right)} \]
    Solve y₀e^(kt) = 2000 for t: t = ln(M/y₀)/k.✓ Proved
Answer \( y(4) = 1250 \approx 1250,\quad t = \ln{\left(10^{\frac{2}{\ln{\left(\frac{5}{2} \right)}}} \right)} \approx 5.026 \)

Lines: 2 proved, 2 not checked. The answer was also checked a second way, without looking at the solution. The reviewers disagree about how one step is explained; every verdict is in 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 (error) — The solution incorrectly computes y(4). Using y(4)=200e^{k·4}=200e^{2k}=200·(5/2)=500, not 1250. The t‑value for 2000 is correct, but the earlier numerical error invalidates the solution.
  • qwen3.6:27b-mlx: fail (error) — The solution incorrectly labels the given data point (y(2)=500) as a 'doubling time' or 'half-life' in step 1, which is factually wrong (it is a 2.5x growth). Additionally, step 4 presents an algebraic identity rather than the actual calculation for t, failing to provide the numerical answer requested.
Every verdict on record (4)
  • gpt-oss:20b: fail (error) 2026-10-12 — The solution incorrectly computes y(4). Using y(4)=200e^{k·4}=200e^{2k}=200·(5/2)=500, not 1250. The t‑value for 2000 is correct, but the earlier numerical error invalidates the solution.
  • qwen3.6:27b-mlx: fail (error) 2026-10-12 — The solution incorrectly labels the given data point (y(2)=500) as a 'doubling time' or 'half-life' in step 1, which is factually wrong (it is a 2.5x growth). Additionally, step 4 presents an algebraic identity rather than the actual calculation for t, failing to provide the numerical answer requested.
  • gpt-oss:20b: pass 2026-10-12
  • qwen3.6:27b-mlx: fail (error) 2026-10-12 — The solution fails to explicitly calculate the initial value y₀ = 200, which is required to set up the specific exponential model y = 200e^{kt}. Without stating y₀, the derivation of k and subsequent values lacks the necessary context, making the solution incomplete and potentially confusing for a student.

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.