∫Calc Practice

Derivative of \( \displaystyle \left(1 + \frac{1}{5 x}\right)^{5 x} \)

Problem 2.516 · hard

Differentiate \( \displaystyle f(x) = \left(1 + \frac{1}{5 x}\right)^{5 x} \).
  1. \[ \frac{d}{d x} \left(1 + \frac{1}{5 x}\right)^{5 x} \]
    rewriteRewrite the base and exponent using the exponential and logarithmic functions.✓ Proved
  2. \[ = \frac{d}{d x} e^{5 x \ln{\left(1 + \frac{1}{5 x} \right)}} \]
    chainApply the chain rule for the exponential function.≈ Checked numerically
  3. \[ = e^{5 x \ln{\left(1 + \frac{1}{5 x} \right)}} \frac{d}{d x} 5 x \ln{\left(1 + \frac{1}{5 x} \right)} \]
    productApply the product rule to the exponent.✓ Proved
  4. \[ = \left(5 x \frac{d}{d x} \ln{\left(1 + \frac{1}{5 x} \right)} + \ln{\left(1 + \frac{1}{5 x} \right)} \frac{d}{d x} 5 x\right) e^{5 x \ln{\left(1 + \frac{1}{5 x} \right)}} \]
    derivativeDifferentiate both parts of the product.✓ Proved
  5. \[ = \left(5 x \frac{d}{d x} \ln{\left(1 + \frac{1}{5 x} \right)} + 5 \ln{\left(1 + \frac{1}{5 x} \right)}\right) e^{5 x \ln{\left(1 + \frac{1}{5 x} \right)}} \]
    derivativeThe derivative of 5*x is 5.✓ Proved
  6. \[ = \left(\frac{5 x \frac{d}{d x} \frac{1}{5 x}}{1 + \frac{1}{5 x}} + 5 \ln{\left(1 + \frac{1}{5 x} \right)}\right) e^{5 x \ln{\left(1 + \frac{1}{5 x} \right)}} \]
    derivativeApply the chain rule to the logarithm.✓ Proved
  7. \[ = \left(5 \ln{\left(1 + \frac{1}{5 x} \right)} - \frac{1}{x \left(1 + \frac{1}{5 x}\right)}\right) e^{5 x \ln{\left(1 + \frac{1}{5 x} \right)}} \]
    derivative algebra algebra algebraThe derivative of 1/(5*x) is -1/(5*x^2). Simplify the double negative. Cancel 5*x in the numerator and denominator. Distribute x into the denominator.✓ Proved
  8. \[ = \left(5 \ln{\left(1 + \frac{1}{5 x} \right)} - \frac{1}{x + \frac{1}{5}}\right) e^{5 x \ln{\left(1 + \frac{1}{5 x} \right)}} \]
    algebraDistribute x into the denominator term.✓ Proved
  9. \[ = \left(5 \ln{\left(1 + \frac{1}{5 x} \right)} - \frac{5}{5 x + 1}\right) e^{5 x \ln{\left(1 + \frac{1}{5 x} \right)}} \]
    algebraMultiply numerator and denominator by 5 to clear the fraction.✓ Proved
  10. \[ = \left(1 + \frac{1}{5 x}\right)^{5 x} \left(5 \ln{\left(1 + \frac{1}{5 x} \right)} - \frac{5}{5 x + 1}\right) \]
    simplifyConvert the exponential form back to the original power form.≈ Checked numerically
Answer \( \left(1 + \frac{1}{5 x}\right)^{5 x} \left(5 \log{\left(1 + \frac{1}{5 x} \right)} - \frac{1}{x \left(1 + \frac{1}{5 x}\right)}\right) \)

Lines: 12 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 5*(((5*x + 1)/(5*x))**(5*x)*((5*x + 1)*log((5*x + 1)/(5*x)) - 1) + (-(5*x + 1)*log((5*x + 1)/(5*x)) + 1)*exp(5*x*log((5*x + 1)/(5*x))))/(5*x + 1); numeric agreement only, at 24 of 24 sampled points
undefined where x = 0
log is undefined for non-positive arguments
3✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
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
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
undefined where 1 + 1/(5*x) = 0
7✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
undefined where 1 + 1/(5*x) = 0
undefined where x = 0
8✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
undefined where 1 + 1/(5*x) = 0
undefined where x = 0
9✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
undefined where 1 + 1/(5*x) = 0
undefined where x = 0
10✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
undefined where 1 + 1/(5*x) = 0
undefined where x = 0
11✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
undefined where 1 + 1/(5*x) = 0
undefined where x = 0
undefined where x + 1/5 = 0
12✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
undefined where x = 0
undefined where x + 1/5 = 0
undefined where 5*x + 1 = 0
13≈ Checked numericallysympy 1.14.0sympy 1.14.0: simplify left 5*(((5*x + 1)/(5*x))**(5*x)*(-(5*x + 1)*log((5*x + 1)/(5*x)) + 1) + ((5*x + 1)*log((5*x + 1)/(5*x)) - 1)*exp(5*x*log((5*x + 1)/(5*x))))/(5*x + 1); numeric agreement only, at 24 of 24 sampled points
log is undefined for non-positive arguments
undefined where 5*x + 1 = 0
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 1 + 1/(5*x) = 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: fail (error) — Step 3 incorrectly labels the derivative of exp(u) as a product rule; it should be a chain rule. Step 4 mislabels the product rule applied to 5*x*log(...) as a derivative. Step 11 incorrectly simplifies 1/(x*(1+1/(5*x))) to 1/(x+1/5); the correct simplification is 5/(5*x+1).
  • qwen3.6:27b-mlx: pass
Every verdict on record (6)
  • qwen3.6:27b-mlx: pass 2026-09-21
  • gpt-oss:20b: fail (error) 2026-09-21 — Step 3 incorrectly labels the derivative of exp(u) as a product rule; it should be a chain rule. Step 4 mislabels the product rule applied to 5*x*log(...) as a derivative. Step 11 incorrectly simplifies 1/(x*(1+1/(5*x))) to 1/(x+1/5); the correct simplification is 5/(5*x+1).
  • qwen3.6:27b-mlx: fail (error) 2026-09-20 — Step 1 applies the rewrite rule but leaves the outer derivative operator intact, which violates the 'one thing per step' constraint (it should be a separate step or the label should reflect the differentiation). More critically, Step 4 is labeled 'derivative' but performs the product rule expansion, which is a distinct rule from 'derivative' (which is reserved for basic derivatives like d/dx(x)). The product rule application should be labeled 'product'.
  • gpt-oss:20b: fail (error) 2026-09-20 — Step 3 incorrectly labels the application of the chain rule for the exponential as a product rule, and step 4 applies a product rule to a single term. These steps combine multiple rules and mislabel the rule used, violating the contract.
  • qwen3.6:27b-mlx: fail (error) 2026-09-20 — Step 1 is labeled 'rewrite' but performs the differentiation setup (converting to exp/log form) which is not a differentiation rule itself, and more critically, Step 2 is labeled 'chain' but the step shown is just the result of the rewrite from Step 1, not the application of the chain rule (which happens in Step 3). The label 'chain' in Step 2 is incorrect because the chain rule is not applied in that specific transition; the transition is purely algebraic rewriting. Furthermore, Step 3 is labeled 'product' but applies the chain rule to the outer exponential function. The label should be 'chain'. Step 4 is labeled 'derivative' but applies the product rule. The labels are consistently swapped or misapplied regarding which rule is being invoked at which stage.
  • gpt-oss:20b: fail (error) 2026-09-20 — Step 3 incorrectly labels a chain‑rule derivative of exp(g) as a product rule, and step 4 repeats the same mistake. Moreover, steps 11–12 algebraically transform 1/(x*(1+1/(5x))) into 1/(x+1/5), which is not equivalent. These errors invalidate the solution.

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.