∫Calc Practice

Antiderivatives with initial conditions

Problem 3.584 · hard

Solve the initial-value problem \( \displaystyle f'(x) = - 2 \sqrt{x} + 4 x \), \( \displaystyle f(1) = -3 \).
  1. \[ \frac{d}{d x} \left(- \frac{4 x^{\frac{3}{2}}}{3} + 2 x^{2}\right) = - 2 \sqrt{x} + 4 x \]
    An antiderivative; every other differs by a constant C.✓ Proved
  2. \[ - \left. 2 x^{2} - \frac{4 x^{\frac{3}{2}}}{3} \right|_{\substack{ x=1 }} - 3 = - \frac{11}{3} \]
    f(1) = -3 fixes C.✓ Proved
  3. \[ 2 x^{2} - \frac{4 x^{\frac{3}{2}}}{3} - \frac{11}{3} = - \frac{4 x^{\frac{3}{2}}}{3} + 2 x^{2} - \frac{11}{3} \]
    The solution.✓ Proved
Answer \( f(x) = - \frac{4 x^{\frac{3}{2}}}{3} + 2 x^{2} - \frac{11}{3} \)

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 1.14.0simplify(lhs - rhs) reduced to 0
2✓ Provedsympy 1.14.0simplify(lhs - rhs) reduced to 0
3✓ Provedsympy 1.14.0simplify(lhs - rhs) reduced to 0
answer, a second way✓ Checked independentlysympy 1.14.0 + mpmath 1.3.0the answer differentiated back to the given derivative, and the initial values checked

Reviewers

  • gpt-oss:20b: fail (error) — The constant of integration is omitted. Evaluating the antiderivative at x=1 gives 2/3, so to satisfy f(1)=-3 we need C=-11/3, not the value computed in step 2.
  • qwen3.6:27b-mlx: pass
Every verdict on record (4)
  • qwen3.6:27b-mlx: pass 2026-10-11
  • gpt-oss:20b: fail (error) 2026-10-11 — The constant of integration is omitted. Evaluating the antiderivative at x=1 gives 2/3, so to satisfy f(1)=-3 we need C=-11/3, not the value computed in step 2.
  • qwen3.6:27b-mlx: pass 2026-10-11 — The solution correctly identifies the antiderivative, solves for the constant of integration using the initial condition, and presents the correct final function.
  • gpt-oss:20b: pass 2026-10-11

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 generator:structured/antiderivative_ivp, checked 2026-10-11 with SymPy 1.14.0.