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Derivative of \( \displaystyle 4 x^{3} - 6 x^{2} + 3 x \)

Problem 2.1597 · medium

Differentiate \( \displaystyle f(x) = 4 x^{3} - 6 x^{2} + 3 x \).
  1. \[ \frac{d}{d x} \left(4 x^{3} - 6 x^{2} + 3 x\right) \]
    derivativeStart with the derivative of the function.✓ Proved
  2. \[ = \frac{d}{d x} 3 x - \frac{d}{d x} 6 x^{2} + \frac{d}{d x} 4 x^{3} \]
    sumApply the sum rule to differentiate term by term.✓ Proved
  3. \[ = 3 \frac{d}{d x} x - 6 \frac{d}{d x} x^{2} + 4 \frac{d}{d x} x^{3} \]
    constant-multipleFactor out the constants from each derivative.✓ Proved
  4. \[ = 12 x^{2} - 12 x + 3 \]
    power algebraApply the power rule to each term. Multiply the constants and simplify the expression.✓ Proved
Answer \( 3 \left(2 x - 1\right)^{2} \)

✓ 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
5✓ 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
Every verdict on record (4)
  • qwen3.6:27b-mlx: pass 2026-10-05
  • gpt-oss:20b: pass 2026-10-05
  • qwen3.6:27b-mlx: pass 2026-10-05
  • gpt-oss:20b: pass 2026-10-05

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 2026-10-05 with SymPy 1.14.0.