Derivative of \( \displaystyle \frac{e^{5 x - 3}}{5} \)
Problem 2.1335 · easy
Differentiate \( \displaystyle f(x) = \frac{e^{5 x - 3}}{5} \).
- \[ \frac{d}{d x} \frac{e^{5 x - 3}}{5} \]Start with the derivative of the function.✓ Proved
- \[ = \frac{\frac{d}{d x} e^{5 x - 3}}{5} \]constant-multiplePull out the constant factor 1/5.✓ Proved
- \[ = \frac{e^{5 x - 3} \frac{d}{d x} \left(5 x - 3\right)}{5} \]chainApply the chain rule to the exponential function.✓ Proved
- \[ = \frac{\left(- \frac{d}{d x} 3 + \frac{d}{d x} 5 x\right) e^{5 x - 3}}{5} \]sumDifferentiate the terms inside the parentheses separately.✓ Proved
- \[ = e^{5 x - 3} \]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
| Line | Status | Checked by | Detail |
|---|---|---|---|
| 1 | ✓ Proved | sympy 1.14.0 | line 1 is the problem as stated |
| 2 | ✓ Proved | sympy 1.14.0 | simplify(a - b) reduced to 0 |
| 3 | ✓ Proved | sympy 1.14.0 | simplify(a - b) reduced to 0 |
| 4 | ✓ Proved | sympy 1.14.0 | simplify(a - b) reduced to 0 |
| 5 | ✓ Proved | sympy 1.14.0 | simplify(a - b) reduced to 0 |
| 6 | ✓ Proved | sympy 1.14.0 | simplify(a - b) reduced to 0 |
| 7 | ✓ Proved | sympy 1.14.0 | simplify(a - b) reduced to 0 |
| answer | ✓ Proved | sympy 1.14.0 | final line against the stated answer: simplify(a - b) reduced to 0 |
| answer, a second way | ✓ Proved | sympy 1.14.0 | SymPy differentiated f directly and got the stated answer |
Reviewers
gpt-oss:20b: passqwen3.6:27b-mlx: pass
Every verdict on record (4)
qwen3.6:27b-mlx: pass 2026-10-03gpt-oss:20b: pass 2026-10-03qwen3.6:27b-mlx: pass 2026-09-30gpt-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.