∫Calc Practice

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

Problem 2.340 · hard

Differentiate \( \displaystyle f(x) = \frac{e^{x - 1}}{x} \).
  1. \[ \frac{d}{d x} \frac{e^{x - 1}}{x} \]
    rewriteStart with the derivative of the function. Rewrite the quotient as a product.✓ Proved
  2. \[ = e^{x - 1} \frac{d}{d x} \frac{1}{x} + \frac{\frac{d}{d x} e^{x - 1}}{x} \]
    productApply the product rule.✓ Proved
  3. \[ = e^{x - 1} \frac{d}{d x} \frac{1}{x} + \frac{e^{x - 1}}{x} \]
    derivativeDifferentiate the first term.✓ Proved
  4. \[ = \frac{e^{x - 1}}{x} - \frac{e^{x - 1}}{x^{2}} \]
    derivative algebraDifferentiate the second term. Simplify the signs.✓ Proved
  5. \[ = \left(\frac{1}{x} - \frac{1}{x^{2}}\right) e^{x - 1} \]
    algebraFactor out the common term.✓ Proved
  6. \[ = \frac{\left(x - 1\right) e^{x - 1}}{x^{2}} \]
    simplifyCombine the terms into a single fraction.✓ Proved
Answer \( \frac{\left(x - 1\right) e^{x - 1}}{x^{2}} \)

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. The reviewers disagree about how one step is explained; every verdict is in the receipt.

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
undefined where x = 0
3✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
undefined where x = 0
4✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
undefined where x = 0
5✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
undefined where x = 0
6✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
undefined where x = 0
7✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
undefined where x = 0
8✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
undefined where x = 0
answer✓ Provedsympy 1.14.0final line against the stated answer: simplify(a - b) reduced to 0
undefined where x = 0
answer, a second way✓ Provedsympy 1.14.0SymPy differentiated f directly and got the stated answer

Reviewers

  • gpt-oss:20b: pass
  • deepseek-r1:70b: fail (style) — Step 1 lacks a rule label, which should be specified for clarity.
  • qwen3.6:27b-mlx: inconclusive — reviewer response could not be parsed: { "verdict": "fail", "severity": "error", "notes": "Step 4 is labeled 'derivative' but only differentiates the first term of the product while leaving the second term's derivative unevaluated. The 'de
Every verdict on record (13)
  • qwen3.6:27b-mlx: inconclusive 2026-09-20 — reviewer response could not be parsed: { "verdict": "fail", "severity": "error", "notes": "Step 4 is labeled 'derivative' but only differentiates the first term of the product while leaving the second term's derivative unevaluated. The 'de
  • gpt-oss:20b: pass 2026-09-20
  • qwen3.6:27b-mlx: fail (error) 2026-09-20 — Step 4 is mathematically incorrect because it fails to apply the chain rule when differentiating exp(x - 1), omitting the derivative of the inner function (which is 1). Additionally, Step 5 applies the derivative rule to only one term of the sum, violating the 'one thing per step' constraint.
  • gpt-oss:20b: pass 2026-09-20
  • qwen3.6:27b-mlx: inconclusive 2026-09-19 — reviewer response could not be parsed: { "verdict": "fail", "severity": "error", "notes": "Step 4 is labeled 'derivative' but only differentiates the first term of the product while leaving the second term's derivative as an unsolved opera
  • deepseek-r1:70b: fail (style) 2026-09-19 — Step 1 lacks a rule label, which should be specified for clarity.
  • gpt-oss:20b: pass 2026-09-19
  • qwen3.6:27b-mlx: fail (error) 2026-09-19 — Step 4 is labeled 'derivative' but only differentiates the first term of the product rule expansion, leaving the second term (exp(x - 1) * Derivative(1/x, x)) untouched. This violates the 'one thing per step' rule; it should be labeled 'sum' or split into two steps.
  • deepseek-r1:70b: pass 2026-09-19
  • gpt-oss:20b: pass 2026-09-19
  • qwen3.6:27b-mlx: fail (error) 2026-09-18 — Step 4 is labeled 'derivative' but fails to apply the chain rule to differentiate exp(x - 1), incorrectly leaving the derivative as exp(x - 1) instead of exp(x - 1). This results in an incorrect intermediate expression.
  • deepseek-r1:70b: pass 2026-09-18 — Step 1 lacks a rule label, which is a minor style issue.
  • gpt-oss:20b: pass 2026-09-18

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.