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

Problem 2.1 · medium Mental math

Differentiate \( \displaystyle f(x) = \ln{\left(\ln{\left(x \right)} \right)} \).
  1. \[ \frac{d}{d x} \ln{\left(\ln{\left(x \right)} \right)} \]
    derivativeStart with the derivative of the function.✓ Proved
  2. \[ = \frac{\frac{d}{d x} \ln{\left(x \right)}}{\ln{\left(x \right)}} \]
    chainApply the chain rule to the outer logarithm.✓ Proved
  3. \[ = \frac{1}{x \ln{\left(x \right)}} \]
    derivative simplifyDifferentiate the inner function log(x). Simplify the product of the fractions.✓ Proved
Answer \( \frac{1}{x \log{\left(x \right)}} \)
Mind the domain. The answer is also defined on (0, 1), where f(x) is not. Substituting there gives a number that is not a slope of f.

✓ 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
LineStatusChecked byDetail
1✓ Provedsympy 1.14.0line 1 is the problem as stated
2✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
undefined where log(x) = 0
3✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
undefined where log(x) = 0
undefined where x = 0
4✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
undefined where x = 0
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 x = 0
undefined where log(x) = 0
answer, a second way✓ Provedsympy 1.14.0SymPy differentiated f directly and got the stated answer

Reviewers

  • deepseek-r1:70b: pass
  • gpt-oss:20b: pass
  • qwen3.6:27b-mlx: pass
Every verdict on record (14)
  • 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 — The solution correctly applies the chain rule and standard derivative rules in separate steps, adhering to the one-change-per-step constraint.
  • deepseek-r1:70b: pass 2026-09-19
  • gpt-oss:20b: pass 2026-09-19
  • 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 2026-09-18 — The solution correctly applies the chain rule and derivative rules in separate steps, adhering to the one-change-per-step constraint. The labels and notes are accurate.
  • deepseek-r1:70b: pass 2026-09-18
  • gpt-oss:20b: pass 2026-09-18
  • deepseek-r1:70b: pass 2026-09-16

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.