∫Calc Practice

Integral of \( \displaystyle 27 x^{2} - 12 x + 1 \)

Problem 4.661 · medium

Find \( \displaystyle \int 27 x^{2} - 12 x + 1 \, dx \). (Omit the constant of integration.)
  1. \[ \int \left(27 x^{2} - 12 x + 1\right)\, dx \]
    integralStart with the integral of the polynomial.✓ Proved
  2. \[ = \int 1\, dx - \int 12 x\, dx + \int 27 x^{2}\, dx \]
    linearitySplit the integral into three separate terms.✓ Proved
  3. \[ = 9 x^{3} - 6 x^{2} + x \]
    antiderivative simplifyApply the power rule to each term. Simplify the coefficients.✓ Proved
Answer \( x \left(3 x - 1\right)^{2} + C \)

✓ 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
3✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
4✓ 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 the stated antiderivative back to the integrand

Reviewers

  • gpt-oss:20b: pass
  • qwen3.6:27b-mlx: pass — The solution correctly applies linearity, the power rule for antiderivatives, and algebraic simplification. Each step changes only one aspect of the expression and uses valid labels from the fixed vocabulary.
Every verdict on record (4)
  • gpt-oss:20b: pass 2026-10-08
  • qwen3.6:27b-mlx: pass 2026-10-08 — The solution correctly applies linearity, the power rule for antiderivatives, and algebraic simplification. Each step changes only one aspect of the expression and uses valid labels from the fixed vocabulary.
  • gpt-oss:20b: pass 2026-10-08
  • qwen3.6:27b-mlx: pass 2026-10-08 — The solution correctly applies linearity, the power rule for antiderivatives, and algebraic simplification. Each step changes only one aspect of the expression and uses valid labels from the fixed vocabulary.

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 2026-10-08 with SymPy 1.14.0.