Derivative of \( \displaystyle \left(x - 1\right)^{2} \ln{\left(x - 1 \right)} \)
Problem 2.419 · hard Video
- \[ \frac{d}{d x} \left(x - 1\right)^{2} \ln{\left(x - 1 \right)} \]Start with the derivative of the function.✓ Proved
- \[ = \left(x - 1\right)^{2} \frac{d}{d x} \ln{\left(x - 1 \right)} + \ln{\left(x - 1 \right)} \frac{d}{d x} \left(x - 1\right)^{2} \]productApply the product rule.✓ Proved
- \[ = x + \left(2 x - 2\right) \ln{\left(x - 1 \right)} - 1 \]chain algebraDifferentiate the individual parts using the chain rule. Simplify the first term.✓ Proved
- \[ = \left(x - 1\right) \left(2 \ln{\left(x - 1 \right)} + 1\right) \]algebraFactor out the common term (x - 1).✓ Proved
✓ Nihil obstat Every line of this solution was proved by the computer algebra system SymPy. The answer was also checked a second way, without looking at the solution. Reviewers found nothing wrong with the explanation. How we verify
The full receipt
| Line | Status | Checked by | Detail |
|---|---|---|---|
| 1 | ✓ Proved | sympy 1.14.0 | line 1 is the problem as stated |
| 2 | ✓ Proved | sympy 1.14.0 | simplify(a - b) reduced to 0 log is undefined for non-positive arguments |
| 3 | ✓ Proved | sympy 1.14.0 | simplify(a - b) reduced to 0 log is undefined for non-positive arguments |
| 4 | ✓ Proved | sympy 1.14.0 | simplify(a - b) reduced to 0 log is undefined for non-positive arguments |
| 5 | ✓ Proved | sympy 1.14.0 | simplify(a - b) reduced to 0 log is undefined for non-positive arguments |
| answer | ✓ Proved | sympy 1.14.0 | final line against the stated answer: simplify(a - b) reduced to 0 log is undefined for non-positive arguments |
| answer, a second way | ✓ Proved | sympy 1.14.0 | SymPy differentiated f directly and got the stated answer |
Reviewers
gpt-oss:20b: fail (error) — Step 3 applies two differentiation rules at once (chain for the log and power for the square) and mislabels the power derivative as chain. Each step must change only one thing and use the correct rule name.qwen3.6:27b-mlx: fail (style) — Step 3 applies two distinct differentiation rules (chain rule for the logarithm and power rule for the polynomial) simultaneously, violating the single-rule-per-step constraint. It should be split into two steps.
Senior review claude-sonnet-5-5, 2026-10-08: pass — The product rule is applied correctly, the derivatives of the parts are right, and the algebra and factoring steps are valid. SymPy proved every line, including the final line against the stated answer.
gpt-oss:20b: dismiss — Both pieces are chain-rule evaluations: log(x-1) has inner function x-1, and (x-1)**2 is a power of the inner function x-1, so 'chain' names a rule that was actually applied and is not wrong.qwen3.6:27b-mlx: dismiss — Step 3 only evaluates the two pending Derivative placeholders left by the product rule, which is one change, and a label that fits either term is acceptable under the contract.
Every verdict on record (7)
claude-sonnet-5-5: pass 2026-10-08 — The product rule is applied correctly, the derivatives of the parts are right, and the algebra and factoring steps are valid. SymPy proved every line, including the final line against the stated answer.qwen3.6:27b-mlx: fail (style) 2026-09-21 — Step 3 applies two distinct differentiation rules (chain rule for the logarithm and power rule for the polynomial) simultaneously, violating the single-rule-per-step constraint. It should be split into two steps.gpt-oss:20b: fail (error) 2026-09-21 — Step 3 applies two differentiation rules at once (chain for the log and power for the square) and mislabels the power derivative as chain. Each step must change only one thing and use the correct rule name.qwen3.6:27b-mlx: fail (style) 2026-09-20 — Step 3 applies two distinct differentiation rules (the derivative of the logarithm and the power rule for the polynomial) simultaneously, violating the one-rule-per-step constraint. It should be split into two steps.gpt-oss:20b: pass 2026-09-20qwen3.6:27b-mlx: pass 2026-09-20gpt-oss:20b: fail (error) 2026-09-20 — Step 3 applies the chain rule to both terms in a single line, changing two expressions at once. Each step should modify only one part of the expression.
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
gemma4:26b, checked 2026-09-26 with SymPy 1.14.0.