∫Calc Practice

Derivative of \( \displaystyle \operatorname{atan}{\left(\sin{\left(x \right)} \right)} \)

Problem 2.583 · hard Video

Differentiate \( \displaystyle f(x) = \operatorname{atan}{\left(\sin{\left(x \right)} \right)} \).
  1. \[ \frac{d}{d x} \operatorname{atan}{\left(\sin{\left(x \right)} \right)} \]
    derivativeStart with the derivative of the function.✓ Proved
  2. \[ = \frac{\frac{d}{d x} \sin{\left(x \right)}}{\sin^{2}{\left(x \right)} + 1} \]
    chainApply the chain rule for the arctangent function.✓ Proved
  3. \[ = \frac{\cos{\left(x \right)}}{\sin^{2}{\left(x \right)} + 1} \]
    productDifferentiate the sine function.✓ Proved
Answer \( \frac{\cos{\left(x \right)}}{\sin^{2}{\left(x \right)} + 1} \)
Top: the graph of f = atan(sin(x)). A tangent line slides along it, and its slope is plotted below as it goes, tracing f' = cos(x)/(sin(x)² + 1).

✓ 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
LineStatusChecked byDetail
1✓ Provedsympy 1.14.0line 1 is the problem as stated
2✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
undefined where sin(x)**2 + 1 = 0
3✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
undefined where sin(x)**2 + 1 = 0
answer✓ Provedsympy 1.14.0final line against the stated answer: simplify(a - b) reduced to 0
undefined where sin(x)**2 + 1 = 0
answer, a second way✓ Provedsympy 1.14.0SymPy differentiated f directly and got the stated answer

Reviewers

  • gpt-oss:20b: fail (style) — Step 3 incorrectly labels the substitution of Derivative(sin(x),x) with cos(x) as a "product" rule. The step merely rewrites the derivative; a more appropriate label would be "rewrite" or "simplify".
  • qwen3.6:27b-mlx: fail (style) — Step 3 is labeled 'product', but the step actually computes the derivative of sin(x) (a 'derivative' step) and simplifies the expression. The product rule was not applied; the chain rule multiplication from the previous step is just being finalized.
Every verdict on record (6)
  • qwen3.6:27b-mlx: fail (style) 2026-09-26 — Step 3 is labeled 'product', but the step actually computes the derivative of sin(x) (a 'derivative' step) and simplifies the expression. The product rule was not applied; the chain rule multiplication from the previous step is just being finalized.
  • gpt-oss:20b: fail (style) 2026-09-26 — Step 3 incorrectly labels the substitution of Derivative(sin(x),x) with cos(x) as a "product" rule. The step merely rewrites the derivative; a more appropriate label would be "rewrite" or "simplify".
  • qwen3.6:27b-mlx: fail (style) 2026-09-21 — Step 3 is labeled 'product', but the step actually computes the derivative of sin(x) (a 'derivative' step) and simplifies the expression. The product rule is not applied here; the chain rule application in step 2 already set up the multiplication, and step 3 just resolves the inner derivative.
  • gpt-oss:20b: fail (style) 2026-09-21 — Step 3 is labeled "product" but only the derivative of sin(x) was applied; no product rule was used. The correct label would be "derivative" (or "simplify" after multiplication).
  • qwen3.6:27b-mlx: fail (style) 2026-09-21 — Step 3 applies the derivative of sine but is labeled 'product'. The step should be labeled 'derivative' or 'chain' (if viewed as part of the chain rule application), but 'product' is incorrect as no product rule is applied.
  • gpt-oss:20b: fail (style) 2026-09-21 — Step 3 incorrectly labels the application of the derivative of sin(x) as "product". The correct rule name is "derivative"; no product rule is used here.

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.