Derivative of \( \displaystyle x^{2} \left(1 - 2 \ln{\left(4 x \right)}\right) \)
Problem 2.669 · hard
Differentiate \( \displaystyle f(x) = x^{2} \left(1 - 2 \ln{\left(4 x \right)}\right) \).
- \[ \frac{d}{d x} x^{2} \left(1 - 2 \ln{\left(4 x \right)}\right) \]derivativeStart with the derivative of the function.✓ Proved
- \[ = x^{2} \frac{d}{d x} \left(1 - 2 \ln{\left(4 x \right)}\right) + \left(1 - 2 \ln{\left(4 x \right)}\right) \frac{d}{d x} x^{2} \]productApply the product rule.✓ Proved
- \[ = x^{2} \frac{d}{d x} \left(1 - 2 \ln{\left(4 x \right)}\right) + 2 x \left(1 - 2 \ln{\left(4 x \right)}\right) \]derivativeDifferentiate the first part of the product.✓ Proved
- \[ = x^{2} \left(\frac{d}{d x} 1 - 2 \frac{d}{d x} \ln{\left(4 x \right)}\right) + 2 x \left(1 - 2 \ln{\left(4 x \right)}\right) \]derivativeDifferentiate the second part of the product.✓ Proved
- \[ = - 2 x^{2} \frac{d}{d x} \ln{\left(4 x \right)} + 2 x \left(1 - 2 \ln{\left(4 x \right)}\right) \]derivativeDifferentiate the constant 1.✓ Proved
- \[ = 2 x \left(1 - 2 \ln{\left(4 x \right)}\right) - \frac{x \frac{d}{d x} 4 x}{2} \]logarithmicApply the chain rule for the logarithm.✓ Proved
- \[ = 2 x \left(1 - 2 \ln{\left(4 x \right)}\right) - 2 x \]derivative algebra algebraDifferentiate the inner function 4*x. Simplify the expression inside the second term. Simplify the product of x**2 and -2/x.✓ Proved
- \[ = - 4 x \ln{\left(4 x \right)} \]algebra simplifyDistribute 2*x into the parentheses. Combine like terms.✓ Proved
Answer \( - 4 x \log{\left(4 x \right)} \)
✓ 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.
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 |
| 6 | ✓ Proved | sympy 1.14.0 | simplify(a - b) reduced to 0 log is undefined for non-positive arguments |
| 7 | ✓ Proved | sympy 1.14.0 | simplify(a - b) reduced to 0 log is undefined for non-positive arguments |
| 8 | ✓ Proved | sympy 1.14.0 | simplify(a - b) reduced to 0 log is undefined for non-positive arguments |
| 9 | ✓ Proved | sympy 1.14.0 | simplify(a - b) reduced to 0 log is undefined for non-positive arguments |
| 10 | ✓ Proved | sympy 1.14.0 | simplify(a - b) reduced to 0 log is undefined for non-positive arguments |
| 11 | ✓ 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: passqwen3.6:27b-mlx: fail (style) — Step 6 is labeled 'logarithmic' but explicitly applies the chain rule to the composite function log(4*x); it should be labeled 'chain'. Step 4 applies the sum rule and constant multiple rule simultaneously to the term (1 - 2*log(4*x)), violating the one-rule-per-step constraint.
Every verdict on record (4)
qwen3.6:27b-mlx: fail (style) 2026-09-21 — Step 6 is labeled 'logarithmic' but explicitly applies the chain rule to the composite function log(4*x); it should be labeled 'chain'. Step 4 applies the sum rule and constant multiple rule simultaneously to the term (1 - 2*log(4*x)), violating the one-rule-per-step constraint.gpt-oss:20b: pass 2026-09-21qwen3.6:27b-mlx: pass 2026-09-21gpt-oss:20b: pass 2026-09-21
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.