∫Calc Practice

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

Problem 2.338 · medium

Differentiate \( \displaystyle f(x) = x^{x - 1} \).
  1. \[ \frac{d}{d x} x^{x - 1} \]
    derivativeStart with the derivative of the function.✓ Proved
  2. \[ = \frac{d}{d x} e^{\left(x - 1\right) \ln{\left(x \right)}} \]
    rewriteRewrite the base and exponent using the exponential and logarithm.≈ Checked numerically
  3. \[ = e^{\left(x - 1\right) \ln{\left(x \right)}} \frac{d}{d x} \left(x - 1\right) \ln{\left(x \right)} \]
    chainApply the chain rule.✓ Proved
  4. \[ = \left(\frac{d}{d x} x \ln{\left(x \right)} - \frac{d}{d x} \ln{\left(x \right)}\right) e^{\left(x - 1\right) \ln{\left(x \right)}} \]
    algebraDistribute the derivative over the subtraction.✓ Proved
  5. \[ = \left(\frac{d}{d x} x \ln{\left(x \right)} - \frac{1}{x}\right) e^{\left(x - 1\right) \ln{\left(x \right)}} \]
    derivativeDifferentiate the log(x) term.✓ Proved
  6. \[ = \left(x \frac{d}{d x} \ln{\left(x \right)} + \ln{\left(x \right)} \frac{d}{d x} x - \frac{1}{x}\right) e^{\left(x - 1\right) \ln{\left(x \right)}} \]
    productApply the product rule to x * log(x).✓ Proved
  7. \[ = \left(\ln{\left(x \right)} + 1 - \frac{1}{x}\right) e^{\left(x - 1\right) \ln{\left(x \right)}} \]
    derivative algebraDifferentiate the individual terms. Simplify the expression inside the parentheses.✓ Proved
  8. \[ = x^{x - 1} \left(\ln{\left(x \right)} + 1 - \frac{1}{x}\right) \]
    simplifyConvert the exponential back to the original power form.≈ Checked numerically
Answer \( x^{x - 1} \left(\log{\left(x \right)} + \frac{x - 1}{x}\right) \)

✓ Nihil obstat Lines: 8 proved, 2 checked numerically. 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≈ Checked numericallysympy 1.14.0sympy 1.14.0: simplify left (x**(x - 1)*(x*log(x) + x - 1) + (-x*log(x) - x + 1)*exp((x - 1)*log(x)))/x; numeric agreement only, at 24 of 24 sampled points
log is undefined for non-positive arguments
3✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
4✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
5✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
undefined where x = 0
6✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
undefined where x = 0
7✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
undefined where x = 0
8✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
undefined where x = 0
9≈ Checked numericallysympy 1.14.0sympy 1.14.0: simplify left (x**(x - 1)*(-x*(log(x) + 1) + 1) + (x*(log(x) + 1) - 1)*exp((x - 1)*log(x)))/x; numeric agreement only, at 24 of 24 sampled points
log is undefined for non-positive arguments
undefined where x = 0
answer✓ Provedsympy 1.14.0final line against the stated answer: simplify(a - b) reduced to 0
log is undefined for non-positive arguments
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: pass
  • qwen3.6:27b-mlx: pass
Every verdict on record (13)
  • qwen3.6:27b-mlx: pass 2026-09-20
  • gpt-oss:20b: pass 2026-09-20
  • qwen3.6:27b-mlx: pass 2026-09-20
  • gpt-oss:20b: pass 2026-09-20
  • qwen3.6:27b-mlx: pass 2026-09-19
  • deepseek-r1:70b: pass 2026-09-19
  • gpt-oss:20b: pass 2026-09-19
  • qwen3.6:27b-mlx: pass 2026-09-19 — The solution correctly applies logarithmic differentiation. Each step changes only one aspect of the expression and uses valid labels from the fixed vocabulary.
  • deepseek-r1:70b: pass 2026-09-19
  • gpt-oss:20b: pass 2026-09-19
  • qwen3.6:27b-mlx: pass 2026-09-18 — The solution correctly applies the chain rule, product rule, and standard derivatives. Each step isolates a single transformation, and the labels accurately reflect the operations performed.
  • deepseek-r1:70b: pass 2026-09-18
  • 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.