∫Calc Practice

Derivative of \( \displaystyle x \operatorname{atan}{\left(x \right)} - \frac{\ln{\left(x^{2} + 1 \right)}}{2} \)

Problem 2.1485 · hard Beautiful

Differentiate \( \displaystyle f(x) = x \operatorname{atan}{\left(x \right)} - \frac{\ln{\left(x^{2} + 1 \right)}}{2} \).
  1. \[ \frac{d}{d x} \left(x \operatorname{atan}{\left(x \right)} - \frac{\ln{\left(x^{2} + 1 \right)}}{2}\right) \]
    derivativeStart with the derivative of the function.✓ Proved
  2. \[ = \frac{d}{d x} x \operatorname{atan}{\left(x \right)} - \frac{d}{d x} \frac{\ln{\left(x^{2} + 1 \right)}}{2} \]
    sumApply the sum rule.✓ Proved
  3. \[ = \frac{d}{d x} x \operatorname{atan}{\left(x \right)} - \frac{\frac{d}{d x} \ln{\left(x^{2} + 1 \right)}}{2} \]
    constantPull out the constant factor.✓ Proved
  4. \[ = x \frac{d}{d x} \operatorname{atan}{\left(x \right)} + \operatorname{atan}{\left(x \right)} \frac{d}{d x} x - \frac{\frac{d}{d x} \ln{\left(x^{2} + 1 \right)}}{2} \]
    productApply the product rule to the first term.✓ Proved
  5. \[ = x \frac{d}{d x} \operatorname{atan}{\left(x \right)} + \operatorname{atan}{\left(x \right)} - \frac{\frac{d}{d x} \ln{\left(x^{2} + 1 \right)}}{2} \]
    derivative simplifyDifferentiate x. Simplify the expression.✓ Proved
  6. \[ = \frac{x}{x^{2} + 1} + \operatorname{atan}{\left(x \right)} - \frac{\frac{d}{d x} \ln{\left(x^{2} + 1 \right)}}{2} \]
    inverse-trig algebraDifferentiate the arctangent function. Simplify the fraction.✓ Proved
  7. \[ = \frac{x}{x^{2} + 1} + \operatorname{atan}{\left(x \right)} - \frac{\frac{d}{d x} \left(x^{2} + 1\right)}{2 \left(x^{2} + 1\right)} \]
    chainApply the chain rule to the logarithm.✓ Proved
  8. \[ = \operatorname{atan}{\left(x \right)} \]
    derivative algebra algebra simplifyDifferentiate the inner function x**2 + 1. Simplify the product. Combine the fractions. Simplify the final result.✓ Proved
Answer \( \operatorname{atan}{\left(x \right)} \)

✓ 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
LineStatusChecked byDetail
1✓ Provedsympy 1.14.0line 1 is the problem as stated
2✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
3✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
4✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
5✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
6✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
7✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
undefined where x**2 + 1 = 0
8✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
undefined where x**2 + 1 = 0
9✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
undefined where x**2 + 1 = 0
10✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
undefined where x**2 + 1 = 0
11✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
12✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
13✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
answer✓ Provedsympy 1.14.0final line against the stated answer: simplify(a - b) reduced to 0
answer, a second way✓ Provedsympy 1.14.0SymPy differentiated f directly and got the stated answer

Reviewers

  • gpt-oss:20b: pass
  • qwen3.6:27b-mlx: pass — The solution correctly applies differentiation rules one at a time with appropriate labels. Each step changes only one aspect of the expression, and the final result is correct.
Every verdict on record (4)
  • qwen3.6:27b-mlx: pass 2026-10-04 — The solution correctly applies differentiation rules one at a time with appropriate labels. Each step changes only one aspect of the expression, and the final result is correct.
  • gpt-oss:20b: pass 2026-10-04
  • qwen3.6:27b-mlx: pass 2026-10-04 — The solution correctly applies differentiation rules step-by-step, adhering to the one-change-per-step constraint and using valid labels from the fixed vocabulary.
  • gpt-oss:20b: pass 2026-10-04

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 2026-10-04 with SymPy 1.14.0.