∫Calc Practice

Derivative of \( \displaystyle \frac{2 e^{3 x - 1}}{3} \)

Problem 2.493 · medium

Differentiate \( \displaystyle f(x) = \frac{2 e^{3 x - 1}}{3} \).
  1. \[ \frac{d}{d x} \frac{2 e^{3 x - 1}}{3} \]
    Start with the derivative of the function.✓ Proved
  2. \[ = \frac{2 \frac{d}{d x} e^{3 x - 1}}{3} \]
    constant-multiplePull out the constant factor.✓ Proved
  3. \[ = \frac{2 e^{3 x - 1} \frac{d}{d x} \left(3 x - 1\right)}{3} \]
    chainApply the chain rule.✓ Proved
  4. \[ = 2 e^{3 x - 1} \]
    derivative algebraDifferentiate the inner function 3*x - 1. Simplify the expression by multiplying the constants.✓ Proved
Answer \( 2 e^{3 x - 1} \)

✓ 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.

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 (6)
  • qwen3.6:27b-mlx: pass 2026-09-21
  • gpt-oss:20b: pass 2026-09-21
  • qwen3.6:27b-mlx: pass 2026-09-20
  • gpt-oss:20b: fail (style) 2026-09-20 — Step 1 lacks a proper rule label from the allowed vocabulary; it should be labeled "derivative".
  • qwen3.6:27b-mlx: pass 2026-09-20 — The solution correctly applies the constant multiple rule, chain rule, and basic derivative rules in separate steps. The labels are accurate and the logic is sound.
  • gpt-oss:20b: pass 2026-09-20

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.