∫Calc Practice

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

Problem 2.477 · hard

Differentiate \( \displaystyle f(x) = \ln{\left(x \right)}^{x} \).
  1. \[ \frac{d}{d x} \ln{\left(x \right)}^{x} \]
    rewriteRewrite the function using the exponential identity.✓ Proved
  2. \[ = \frac{d}{d x} e^{x \ln{\left(\ln{\left(x \right)} \right)}} \]
    chainApply the chain rule.≈ Checked numerically
  3. \[ = e^{x \ln{\left(\ln{\left(x \right)} \right)}} \frac{d}{d x} x \ln{\left(\ln{\left(x \right)} \right)} \]
    productApply the product rule to the exponent.✓ Proved
  4. \[ = \left(x \frac{d}{d x} \ln{\left(\ln{\left(x \right)} \right)} + \ln{\left(\ln{\left(x \right)} \right)} \frac{d}{d x} x\right) e^{x \ln{\left(\ln{\left(x \right)} \right)}} \]
    productDistribute the derivative across the product.✓ Proved
  5. \[ = \left(x \frac{d}{d x} \ln{\left(\ln{\left(x \right)} \right)} + \ln{\left(\ln{\left(x \right)} \right)}\right) e^{x \ln{\left(\ln{\left(x \right)} \right)}} \]
    constantThe derivative of x is 1.✓ Proved
  6. \[ = \left(\frac{x \frac{d}{d x} \ln{\left(x \right)}}{\ln{\left(x \right)}} + \ln{\left(\ln{\left(x \right)} \right)}\right) e^{x \ln{\left(\ln{\left(x \right)} \right)}} \]
    chainApply the chain rule to log(log(x)).✓ Proved
  7. \[ = \left(\ln{\left(\ln{\left(x \right)} \right)} + \frac{1}{\ln{\left(x \right)}}\right) e^{x \ln{\left(\ln{\left(x \right)} \right)}} \]
    derivative algebraThe derivative of log(x) is 1/x. Simplify the expression inside the parentheses.✓ Proved
  8. \[ = \left(\ln{\left(\ln{\left(x \right)} \right)} + \frac{1}{\ln{\left(x \right)}}\right) \ln{\left(x \right)}^{x} \]
    simplifyConvert the exponential form back to the original base.≈ Checked numerically
Answer \( \left(\log{\left(\log{\left(x \right)} \right)} + \frac{1}{\log{\left(x \right)}}\right) \log{\left(x \right)}^{x} \)

Lines: 8 proved, 2 checked numerically. 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≈ Checked numericallysympy 1.14.0sympy 1.14.0: simplify left (log(x)*log(log(x)) + 1)*(-exp(x*log(log(x))) + log(x)**x)/log(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
6✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
undefined where log(x) = 0
7✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
undefined where log(x) = 0
8✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
undefined where log(x) = 0
9≈ Checked numericallysympy 1.14.0sympy 1.14.0: simplify left (log(x)*log(log(x)) + 1)*(exp(x*log(log(x))) - log(x)**x)/log(x); numeric agreement only, at 24 of 24 sampled points
log is undefined for non-positive arguments
undefined where log(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 log(x) = 0
answer, a second way✓ Provedsympy 1.14.0SymPy differentiated f directly and got the stated answer

Reviewers

  • gpt-oss:20b: fail (style) — Step 3 incorrectly labels the chain rule as a product rule, and step 4 incorrectly labels the sum of derivatives as a product rule. These mislabelings violate the rule‑granularity requirement.
  • qwen3.6:27b-mlx: fail (style) — Step 4 is labeled 'product' but performs algebraic distribution of the derivative operator, not the product rule for differentiation. Step 5 is labeled 'constant' but computes the derivative of x, which should be labeled 'derivative'.
Every verdict on record (6)
  • qwen3.6:27b-mlx: fail (style) 2026-09-21 — Step 4 is labeled 'product' but performs algebraic distribution of the derivative operator, not the product rule for differentiation. Step 5 is labeled 'constant' but computes the derivative of x, which should be labeled 'derivative'.
  • gpt-oss:20b: fail (style) 2026-09-21 — Step 3 incorrectly labels the chain rule as a product rule, and step 4 incorrectly labels the sum of derivatives as a product rule. These mislabelings violate the rule‑granularity requirement.
  • qwen3.6:27b-mlx: pass 2026-09-20
  • gpt-oss:20b: fail (style) 2026-09-20 — Step 3 incorrectly labels the application of the chain rule as a product rule. The derivative of exp(u) is exp(u)·u', which is a chain rule step, not a product rule. The note also incorrectly states that the product rule is applied to the exponent.
  • qwen3.6:27b-mlx: inconclusive 2026-09-20 — reviewer response could not be parsed: { "verdict": "fail", "severity": "style", "notes": "Step 1 is labeled 'rewrite' but performs the differentiation setup; the label should be 'rewrite' for the algebraic transformation, but the step des
  • gpt-oss:20b: fail (style) 2026-09-20 — Step 3 incorrectly labels the application of the chain rule as a product rule. The derivative of exp(u) is exp(u)·u', which is a chain rule application, not a product rule.

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.