∫Calc Practice

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

Problem 2.2202 · 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. \[ = \left(5 x - \frac{5}{2}\right) \frac{d}{d x} \ln{\left(2 x - 1 \right)} + \ln{\left(2 x - 1 \right)} \frac{d}{d x} \left(5 x - \frac{5}{2}\right) + \frac{d}{d x} \left(- 5 x\right) \]
    productApply the product rule to the second term.✓ Proved
  4. \[ = - \left(5 x - \frac{5}{2}\right) \ln{\left(2 x - 1 \right)} \frac{d}{d x} \frac{1}{2} + \left(5 x - \frac{5}{2}\right) \frac{d}{d x} \ln{\left(2 x - 1 \right)} + \ln{\left(2 x - 1 \right)} \frac{d}{d x} 5 x + \frac{d}{d x} \left(- 5 x\right) \]
    sumDifferentiate the terms inside the product rule.✓ Proved
  5. \[ = - \left(5 x - \frac{5}{2}\right) \ln{\left(2 x - 1 \right)} \frac{d}{d x} \frac{5}{2} + \left(5 x - \frac{5}{2}\right) \frac{d}{d x} \ln{\left(2 x - 1 \right)} + \ln{\left(2 x - 1 \right)} \frac{d}{d x} 5 x + \frac{d}{d x} \left(- 5 x\right) \]
    constantDifferentiate the constant term 5/2.✓ Proved
  6. \[ = - \left(5 x - \frac{5}{2}\right) \ln{\left(2 x - 1 \right)} \frac{d}{d x} \frac{5}{2} + \left(5 x - \frac{5}{2}\right) \frac{d}{d x} \ln{\left(2 x - 1 \right)} + 5 \ln{\left(2 x - 1 \right)} + \frac{d}{d x} \left(- 5 x\right) \]
    constant-multipleDifferentiate 5*x.✓ Proved
  7. \[ = \left(5 x - \frac{5}{2}\right) \frac{d}{d x} \ln{\left(2 x - 1 \right)} + 5 \ln{\left(2 x - 1 \right)} + \frac{d}{d x} \left(- 5 x\right) \]
    constant-multiple algebraDifferentiate the constant 5/2. Simplify the zero term.✓ Proved
  8. \[ = 5 \ln{\left(2 x - 1 \right)} + \frac{d}{d x} \left(- 5 x\right) + \frac{\left(5 x - \frac{5}{2}\right) \frac{d}{d x} \left(2 x - 1\right)}{2 x - 1} \]
    chainApply the chain rule to the logarithm.✓ Proved
  9. \[ = 5 \ln{\left(2 x - 1 \right)} + \frac{d}{d x} \left(- 5 x\right) + \frac{2 \left(5 x - \frac{5}{2}\right)}{2 x - 1} \]
    constant-multiple algebraDifferentiate 2*x - 1. Simplify the expression.✓ Proved
  10. \[ = 5 \ln{\left(2 x - 1 \right)} - 5 + \frac{2 \left(5 x - \frac{5}{2}\right)}{2 x - 1} \]
    derivativeEvaluate the derivative of -5*x.✓ Proved
  11. \[ = 5 \ln{\left(2 x - 1 \right)} - 5 + \frac{10 x - 5}{2 x - 1} \]
    algebra algebraDistribute the 2 in the numerator. Factor out 5 from the numerator.✓ Proved
  12. \[ = 5 \ln{\left(2 x - 1 \right)} \]
    simplify algebraCancel the common factor (2*x - 1). Combine the constant terms.✓ 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. A reviewer's objection to the explanation stands; see 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
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
undefined where 2*x - 1 = 0
15✓ Provedsympy 1.14.0simplify(a - b) reduced to 0
log is undefined for non-positive arguments
undefined where 2*x - 1 = 0
16✓ 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 (error) — Several steps apply multiple rules at once and mislabel the operations. For example, step 4 expands the product rule but also differentiates inside the sum, and step 5 incorrectly applies the constant rule to a non‑constant term. These combined operations violate the one‑rule‑per‑step requirement and produce an incorrect derivative sequence.
  • qwen3.6:27b-mlx: fail (error) — Step 4 is mathematically incorrect; it attempts to split the derivative of the product term using a 'sum' rule but produces an invalid expression involving `Derivative(1/2, x)` and incorrectly distributes terms. Step 5 also contains a logical error by differentiating a constant `5/2` as if it were a variable term in a product, leading to nonsensical intermediate steps.
Every verdict on record (4)
  • gpt-oss:20b: fail (error) 2026-10-13 — Several steps apply multiple rules at once and mislabel the operations. For example, step 4 expands the product rule but also differentiates inside the sum, and step 5 incorrectly applies the constant rule to a non‑constant term. These combined operations violate the one‑rule‑per‑step requirement and produce an incorrect derivative sequence.
  • qwen3.6:27b-mlx: fail (error) 2026-10-13 — Step 4 is mathematically incorrect; it attempts to split the derivative of the product term using a 'sum' rule but produces an invalid expression involving `Derivative(1/2, x)` and incorrectly distributes terms. Step 5 also contains a logical error by differentiating a constant `5/2` as if it were a variable term in a product, leading to nonsensical intermediate steps.
  • gpt-oss:20b: fail (error) 2026-10-13 — Step 4 incorrectly applies the product rule: it splits the derivative of (5*x-5/2) into a derivative of 5*x and a derivative of 1/2, introducing an extra term -(5*x-5/2)*Derivative(1/2,x)*log(2*x-1). The derivative of (5*x-5/2) is simply 5, so the extra term is wrong and propagates errors through subsequent steps.
  • qwen3.6:27b-mlx: fail (error) 2026-10-13 — Step 4 is mathematically incorrect; it attempts to distribute the derivative operator over the sum inside the product rule term but incorrectly introduces a negative sign and a derivative of a constant term that does not exist in the original expression. Specifically, Derivative(5*x - 5/2, x) is simply 5, not a sum involving Derivative(1/2, x) with a negative sign attached to the log term in that manner. The step violates the 'one rule per step' constraint by mixing differentiation rules with incorrect algebraic manipulation.

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.