Exponential growth and decay
Problem 5.215 · medium
A radioactive substance has a half-life of 30 years. Starting with 50 g, how much remains after 54 years, and when will only 10 g remain?
- y = y₀e^{kt}; the given doubling time, half-life or second data point fixes k.
- k = -log(2)/30.
- \[ \frac{25 \cdot 2^{1 \cdot \frac{1}{5}}}{2} = \frac{25 \sqrt[5]{2}}{2} \]y(54).✓ Proved
- \[ \frac{30 \ln{\left(5 \right)}}{\ln{\left(2 \right)}} \]Solve y₀e^(kt) = 10 for t: t = ln(M/y₀)/k.✓ Proved
Answer \( y(54) = \frac{25 \sqrt[5]{2}}{2} \approx 14.359,\quad t = \frac{30 \ln{\left(5 \right)}}{\ln{\left(2 \right)}} \approx 69.66 \)
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
| Line | Status | Checked by | Detail |
|---|---|---|---|
| 1 | Not checked | — | a sentence; read, not computed |
| 2 | Not checked | — | a sentence; read, not computed |
| 3 | ✓ Proved | sympy 1.14.0 | simplify(lhs - rhs) reduced to 0 |
| 4 | ✓ Proved | sympy 1.14.0 | simplify(lhs - rhs) reduced to 0 |
| answer, a second way | ✓ Checked independently | sympy 1.14.0 + mpmath 1.3.0 | the model evaluated, and the time found by a numerical root-finder |
Reviewers
gpt-oss:20b: passqwen3.6:27b-mlx: fail (error) — Line 1 incorrectly refers to 'doubling time' for a decay problem, which is conceptually wrong. Line 2 uses 'log' without specifying the base, which is ambiguous and potentially incorrect if natural log is not assumed, though the final answer implies natural log was used.
Every verdict on record (4)
qwen3.6:27b-mlx: fail (error) 2026-10-04 — Line 1 incorrectly refers to 'doubling time' for a decay problem, which is conceptually wrong. Line 2 uses 'log' without specifying the base, which is ambiguous and potentially incorrect if natural log is not assumed, though the final answer implies natural log was used.gpt-oss:20b: pass 2026-10-04qwen3.6:27b-mlx: fail (error) 2026-10-04 — The solution uses the formula t = ln(M/y₀)/k with k = -ln(2)/30, which yields a negative time for decay (since M < y₀). The correct formula is t = ln(y₀/M)/k or t = -ln(M/y₀)/k. Additionally, step 1 incorrectly refers to 'doubling time' in a decay context.gpt-oss:20b: pass 2026-10-04
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 2026-10-04 with SymPy 1.14.0.