Derivative of \( \displaystyle \frac{3 x^{2} \left(2 \ln{\left(x \right)} - 1\right)}{4} \)
Problem 2.663 · hard Beautiful
Differentiate \( \displaystyle f(x) = \frac{3 x^{2} \left(2 \ln{\left(x \right)} - 1\right)}{4} \).
- \[ \frac{d}{d x} \frac{3 x^{2} \left(2 \ln{\left(x \right)} - 1\right)}{4} \]Start with the derivative of the function.✓ Proved
- \[ = \frac{3 \frac{d}{d x} x^{2} \left(2 \ln{\left(x \right)} - 1\right)}{4} \]constant-multiplePull out the constant factor 3/4.✓ Proved
- \[ = \frac{3 x^{2} \frac{d}{d x} \left(2 \ln{\left(x \right)} - 1\right)}{4} + \frac{3 \left(2 \ln{\left(x \right)} - 1\right) \frac{d}{d x} x^{2}}{4} \]productApply the product rule.✓ Proved
- \[ = \frac{3 x^{2} \frac{d}{d x} \left(2 \ln{\left(x \right)} - 1\right)}{4} + \frac{3 x \left(2 \ln{\left(x \right)} - 1\right)}{2} \]derivativeDifferentiate x**2.✓ Proved
- \[ = \frac{3 x^{2} \frac{d}{d x} \ln{\left(x \right)}}{2} + \frac{3 x \left(2 \ln{\left(x \right)} - 1\right)}{2} \]derivativeDifferentiate the terms inside the parentheses.✓ Proved
- \[ = \frac{3 x \left(2 \ln{\left(x \right)} - 1\right)}{2} + \frac{3 x}{2} \]derivative algebraDifferentiate log(x). Simplify the term x**2 * (2/x).✓ Proved
- \[ = 3 x \ln{\left(x \right)} \]algebra simplify simplifyDistribute 2*x into the parentheses. Combine like terms. Final simplification.✓ Proved
Answer \( 3 x \log{\left(x \right)} \)
✓ 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 |
| 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: pass — The solution correctly applies the constant multiple, product, and derivative rules in a step-by-step manner. Each step changes only one aspect of the expression, and the labels accurately reflect the operations performed.
Every verdict on record (4)
qwen3.6:27b-mlx: pass 2026-09-21 — The solution correctly applies the constant multiple, product, and derivative rules in a step-by-step manner. Each step changes only one aspect of the expression, and the labels accurately reflect the operations performed.gpt-oss:20b: pass 2026-09-21qwen3.6:27b-mlx: pass 2026-09-21 — The solution correctly applies the constant multiple, product, and derivative rules in a step-by-step manner. Each step changes only one aspect of the expression, and the labels accurately reflect the operations performed.gpt-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.