Exponential growth and decay
Problem 5.425 · medium
A radioactive substance has a half-life of 1600 years. Starting with 10 g, how much remains after 3495 years, and when will only \frac{10}{3} g remain?
- y = y₀e^{kt}; the given doubling time, half-life or second data point fixes k.
- k = -log(2)/1600.
- \[ \frac{5 \cdot 2^{\frac{261}{320}}}{4} \]y(3495).✓ Proved
- \[ \frac{1600 \ln{\left(3 \right)}}{\ln{\left(2 \right)}} \]Solve y₀e^(kt) = 10/3 for t: t = ln(M/y₀)/k.✓ Proved
Answer \( y(3495) = \frac{5 \cdot 2^{\frac{261}{320}}}{4} \approx 2.2001,\quad t = \frac{1600 \ln{\left(3 \right)}}{\ln{\left(2 \right)}} \approx 2536 \)
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 radioactive substance, which has a half-life. Line 2 uses 'log' without specifying the base, which is ambiguous in a calculus context where natural logarithms are standard for exponential decay models (k = -ln(2)/1600). While the final numerical answers are correct, the derivation steps contain terminology and notation errors that could mislead a student.
Every verdict on record (4)
gpt-oss:20b: pass 2026-10-09qwen3.6:27b-mlx: fail (error) 2026-10-09 — Line 1 incorrectly refers to 'doubling time' for a radioactive substance, which has a half-life. Line 2 uses 'log' without specifying the base, which is ambiguous in a calculus context where natural logarithms are standard for exponential decay models (k = -ln(2)/1600). While the final numerical answers are correct, the derivation steps contain terminology and notation errors that could mislead a student.gpt-oss:20b: fail (error) 2026-10-09 — The expression for y(3495) is incorrect: it should be 10·2^{‑3495/1600} (≈2.20), not 5·2^{261/320}/4. The time calculation is correct.qwen3.6:27b-mlx: fail (error) 2026-10-09 — Sentence 1 incorrectly refers to 'doubling time' for a radioactive substance, which decays. Sentence 2 uses 'log' without specifying the base, which is ambiguous and potentially incorrect if interpreted as base 10 instead of natural log (ln) required for the exponential model y = y0e^(kt).
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 2026-10-09 with SymPy 1.14.0.