∫Calc Practice

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

Problem 2.635 · medium

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

✓ Nihil obstat Lines: 7 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 - 1)**(x - 1) - exp((x - 1)*log(x - 1)))*(log(x - 1) + 1); 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
6✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
7✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
8≈ Checked numericallysympy 1.14.0sympy 1.14.0: simplify left (-(x - 1)**(x - 1) + exp((x - 1)*log(x - 1)))*(log(x - 1) + 1); numeric agreement only, at 24 of 24 sampled points
log is undefined for non-positive arguments
answer✓ Provedsympy 1.14.0final line against the stated answer: simplify(a - b) reduced to 0
log is undefined for non-positive arguments
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 2026-09-21
  • gpt-oss:20b: pass 2026-09-21
  • qwen3.6:27b-mlx: pass 2026-09-21
  • gpt-oss:20b: pass 2026-09-21

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.