∫Calc Practice

Derivative of \( \displaystyle \frac{e^{5 x - 3}}{5} \)

Problem 2.1335 · easy

Differentiate \( \displaystyle f(x) = \frac{e^{5 x - 3}}{5} \).
  1. \[ \frac{d}{d x} \frac{e^{5 x - 3}}{5} \]
    Start with the derivative of the function.✓ Proved
  2. \[ = \frac{\frac{d}{d x} e^{5 x - 3}}{5} \]
    constant-multiplePull out the constant factor 1/5.✓ Proved
  3. \[ = \frac{e^{5 x - 3} \frac{d}{d x} \left(5 x - 3\right)}{5} \]
    chainApply the chain rule to the exponential function.✓ Proved
  4. \[ = \frac{\left(- \frac{d}{d x} 3 + \frac{d}{d x} 5 x\right) e^{5 x - 3}}{5} \]
    sumDifferentiate the terms inside the parentheses separately.✓ Proved
  5. \[ = e^{5 x - 3} \]
    derivative algebra simplifyEvaluate the derivatives of the linear terms. Simplify the subtraction. Cancel the 5 in the numerator and denominator.✓ Proved
Answer \( e^{5 x - 3} \)

✓ 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
6✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
7✓ 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 2026-10-03
  • gpt-oss:20b: pass 2026-10-03
  • qwen3.6:27b-mlx: pass 2026-09-30
  • gpt-oss:20b: fail (style) 2026-09-30 — Step 1 lacks a rule label; it should be marked "derivative" to indicate the application of the differentiation operator.

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 2026-10-03 with SymPy 1.14.0.