∫Calc Practice

Derivative of \( \displaystyle - 5 x + \left(5 x + \frac{5}{2}\right) \ln{\left(2 x + 1 \right)} \)

Problem 2.2187 · hard

Differentiate \( \displaystyle f(x) = - 5 x + \left(5 x + \frac{5}{2}\right) \ln{\left(2 x + 1 \right)} \).
  1. \[ \frac{d}{d x} \left(- 5 x + \left(5 x + \frac{5}{2}\right) \ln{\left(2 x + 1 \right)}\right) \]
    derivativeStart with the derivative of the function.✓ Proved
  2. \[ = \frac{d}{d x} \left(- 5 x\right) + \frac{d}{d x} \left(5 x + \frac{5}{2}\right) \ln{\left(2 x + 1 \right)} \]
    sumApply the sum rule.✓ Proved
  3. \[ = \frac{d}{d x} \left(- 5 x\right) + \frac{d}{d x} 5 x \ln{\left(2 x + 1 \right)} + \frac{d}{d x} \frac{5 \ln{\left(2 x + 1 \right)}}{2} \]
    productApply the product rule to the second term.✓ Proved
  4. \[ = \frac{d}{d x} \left(- 5 x\right) + \frac{d}{d x} 5 x \ln{\left(2 x + 1 \right)} + \frac{5 \frac{d}{d x} \ln{\left(2 x + 1 \right)}}{2} \]
    constant-multipleFactor out the constant 5/2.✓ Proved
  5. \[ = 5 x \frac{d}{d x} \ln{\left(2 x + 1 \right)} + \ln{\left(2 x + 1 \right)} \frac{d}{d x} 5 x + \frac{d}{d x} \left(- 5 x\right) + \frac{5 \frac{d}{d x} \ln{\left(2 x + 1 \right)}}{2} \]
    productApply the product rule to 5*x*log(2*x + 1).✓ Proved
  6. \[ = 5 x \frac{d}{d x} \ln{\left(2 x + 1 \right)} + 5 \ln{\left(2 x + 1 \right)} + \frac{d}{d x} \left(- 5 x\right) + \frac{5 \frac{d}{d x} \ln{\left(2 x + 1 \right)}}{2} \]
    derivativeDifferentiate 5*x.✓ Proved
  7. \[ = 5 x \frac{d}{d x} \ln{\left(2 x + 1 \right)} + 5 \ln{\left(2 x + 1 \right)} + \frac{5 \frac{d}{d x} \ln{\left(2 x + 1 \right)}}{2} - 5 \]
    derivativeDifferentiate -5*x.✓ Proved
  8. \[ = \frac{5 x \frac{d}{d x} \left(2 x + 1\right)}{2 x + 1} + 5 \ln{\left(2 x + 1 \right)} - 5 + \frac{5 \frac{d}{d x} \left(2 x + 1\right)}{2 \left(2 x + 1\right)} \]
    chainApply the chain rule to log(2*x + 1).✓ Proved
  9. \[ = \frac{10 x}{2 x + 1} + 5 \ln{\left(2 x + 1 \right)} - 5 + \frac{5}{2 x + 1} \]
    derivative algebraDifferentiate 2*x + 1. Simplify the terms.✓ Proved
  10. \[ = 5 \ln{\left(2 x + 1 \right)} - 5 + \frac{10 x + 5}{2 x + 1} \]
    algebra algebraCombine the fractions. Factor out 5 from the numerator.✓ Proved
  11. \[ = 5 \ln{\left(2 x + 1 \right)} \]
    algebra simplifySimplify the fraction. Final simplification.✓ Proved
Answer \( 5 \ln{\left(2 x + 1 \right)} \)

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. 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✓ Provedsympy 1.14.0simplify(a - b) reduced to 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
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✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
undefined where 2*x + 1 = 0
9✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
undefined where 2*x + 1 = 0
10✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
undefined where 2*x + 1 = 0
11✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
undefined where 2*x + 1 = 0
12✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
undefined where 2*x + 1 = 0
13✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
undefined where 2*x + 1 = 0
14✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
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: fail (style) — Step 3 incorrectly labels the distributive expansion of (5*x+5/2)*log(2*x+1) as a product rule. The correct label would be "algebra" or "rewrite", not "product".
  • qwen3.6:27b-mlx: fail (error) — Step 3 incorrectly labels the expansion of a sum as the 'product' rule; it should be 'sum'. Step 8 incorrectly labels the application of the logarithmic derivative formula as 'chain'; it should be 'logarithmic' (or 'derivative' if 'logarithmic' is not accepted, but 'chain' is incorrect because the chain rule is applied in the subsequent step 9).
Every verdict on record (4)
  • gpt-oss:20b: fail (style) 2026-10-13 — Step 3 incorrectly labels the distributive expansion of (5*x+5/2)*log(2*x+1) as a product rule. The correct label would be "algebra" or "rewrite", not "product".
  • qwen3.6:27b-mlx: fail (error) 2026-10-13 — Step 3 incorrectly labels the expansion of a sum as the 'product' rule; it should be 'sum'. Step 8 incorrectly labels the application of the logarithmic derivative formula as 'chain'; it should be 'logarithmic' (or 'derivative' if 'logarithmic' is not accepted, but 'chain' is incorrect because the chain rule is applied in the subsequent step 9).
  • gpt-oss:20b: pass 2026-10-13
  • qwen3.6:27b-mlx: fail (error) 2026-10-13 — Step 3 claims to apply the product rule, but it actually applies the sum rule to split (5*x + 5/2)*log(2*x + 1) into 5*x*log(2*x + 1) + 5/2*log(2*x + 1). The product rule differentiates a product; it does not distribute a sum over a factor.

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 2026-10-13 with SymPy 1.14.0.