Derivative of \( \displaystyle - \frac{x}{2} + \frac{\sin{\left(4 x \right)} \cos{\left(4 x \right)}}{8} \)
Problem 2.1177 · hard
Differentiate \( \displaystyle f(x) = - \frac{x}{2} + \frac{\sin{\left(4 x \right)} \cos{\left(4 x \right)}}{8} \).
- \[ \frac{d}{d x} \left(- \frac{x}{2} + \frac{\sin{\left(4 x \right)} \cos{\left(4 x \right)}}{8}\right) \]derivativeStart with the derivative of the function.✓ Proved
- \[ = \frac{d}{d x} \left(- \frac{x}{2}\right) + \frac{d}{d x} \frac{\sin{\left(4 x \right)} \cos{\left(4 x \right)}}{8} \]sumApply the sum rule.✓ Proved
- \[ = \frac{d}{d x} \left(- \frac{x}{2}\right) + \frac{\frac{d}{d x} \sin{\left(4 x \right)} \cos{\left(4 x \right)}}{8} \]constant-multipleFactor out the constant.✓ Proved
- \[ = \frac{\sin{\left(4 x \right)} \frac{d}{d x} \cos{\left(4 x \right)}}{8} + \frac{\cos{\left(4 x \right)} \frac{d}{d x} \sin{\left(4 x \right)}}{8} + \frac{d}{d x} \left(- \frac{x}{2}\right) \]productApply the product rule.✓ Proved
- \[ = - \frac{\sin^{2}{\left(4 x \right)}}{2} + \frac{\cos^{2}{\left(4 x \right)}}{2} + \frac{d}{d x} \left(- \frac{x}{2}\right) \]chain algebra constant-multipleApply the chain rule to the trigonometric terms. Simplify the expression inside the parentheses. Factor out the 4.✓ Proved
- \[ = - \frac{\sin^{2}{\left(4 x \right)}}{2} + \frac{\cos^{2}{\left(4 x \right)}}{2} - \frac{1}{2} \]derivativeEvaluate the derivative of the first term.✓ Proved
- \[ = \frac{\cos{\left(8 x \right)}}{2} - \frac{1}{2} \]rewrite algebra simplifyUse the double angle identity cos(2*theta) = cos(theta)**2 - sin(theta)**2. Simplify the argument of the cosine function. Final simplified form.✓ Proved
Answer \( - \sin^{2}{\left(4 x \right)} \)
✓ 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 |
| 3 | ✓ Proved | sympy 1.14.0 | simplify(a - b) reduced to 0 |
| 4 | ✓ Proved | sympy 1.14.0 | simplify(a - b) reduced to 0 |
| 5 | ✓ Proved | sympy 1.14.0 | simplify(a - b) reduced to 0 |
| 6 | ✓ Proved | sympy 1.14.0 | simplify(a - b) reduced to 0 |
| 7 | ✓ Proved | sympy 1.14.0 | simplify(a - b) reduced to 0 |
| 8 | ✓ Proved | sympy 1.14.0 | simplify(a - b) reduced to 0 |
| 9 | ✓ Proved | sympy 1.14.0 | simplify(a - b) reduced to 0 |
| 10 | ✓ Proved | sympy 1.14.0 | simplify(a - b) reduced to 0 |
| 11 | ✓ Proved | sympy 1.14.0 | simplify(a - b) reduced to 0 |
| answer | ✓ Proved | sympy 1.14.0 | final line against the stated answer: simplify(a - b) reduced to 0 |
| answer, a second way | ✓ Proved | sympy 1.14.0 | SymPy differentiated f directly and got the stated answer |
Reviewers
gpt-oss:20b: fail (style) — Step 5 applies the chain rule twice (to both sin(4*x) and cos(4*x)) in a single step, violating the rule‑by‑step granularity requirement.qwen3.6:27b-mlx: pass — The solution correctly applies differentiation rules step-by-step, adhering to the one-rule-per-step constraint. The labels used are appropriate for the operations performed.
Every verdict on record (4)
qwen3.6:27b-mlx: pass 2026-09-29 — The solution correctly applies differentiation rules step-by-step, adhering to the one-rule-per-step constraint. The labels used are appropriate for the operations performed.gpt-oss:20b: fail (style) 2026-09-29 — Step 5 applies the chain rule twice (to both sin(4*x) and cos(4*x)) in a single step, violating the rule‑by‑step granularity requirement.qwen3.6:27b-mlx: pass 2026-09-29gpt-oss:20b: pass 2026-09-29
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 2026-09-29 with SymPy 1.14.0.