∫Calc Practice

Antiderivatives with initial conditions

Problem 3.578 · hard

Solve \( \displaystyle f''(x) = 3 e^{x} + 4 \) with \( \displaystyle f'(1) = -4 \) and \( \displaystyle f(1) = -5 \).
  1. \[ \frac{d}{d x} \left(4 x + 3 e^{x}\right) = 3 e^{x} + 4 \]
    An antiderivative of f″; f′ is this plus a constant C₁.✓ Proved
  2. \[ - \left. 4 x + 3 e^{x} \right|_{\substack{ x=1 }} - 4 = - 3 e - 8 \]
    f′(1) = -4 fixes C₁.✓ Proved
  3. \[ \frac{d}{d x} \left(2 x^{2} + x \left(- 3 e - 8\right) + 3 e^{x}\right) = 4 x + 3 e^{x} - 3 e - 8 \]
    Antidifferentiate f′; add a constant C₀.✓ Proved
  4. \[ - \left. 2 x^{2} + x \left(- 3 e - 8\right) + 3 e^{x} \right|_{\substack{ x=1 }} - 5 = 1 \]
    f(1) = -5 fixes C₀.✓ Proved
  5. \[ 2 x^{2} + x \left(- 3 e - 8\right) + 3 e^{x} + 1 = 2 x^{2} - 3 e x - 8 x + 3 e^{x} + 1 \]
    The solution.✓ Proved
Answer \( f(x) = 2 x^{2} - 3 e x - 8 x + 3 e^{x} + 1 \)

✓ 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 1.14.0simplify(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
4✓ Provedsympy 1.14.0simplify(lhs - rhs) reduced to 0
5✓ 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: pass
  • qwen3.6:27b-mlx: pass — The solution correctly integrates twice and applies the initial conditions to determine the constants. The final expression matches the stated answer.
Every verdict on record (4)
  • qwen3.6:27b-mlx: pass 2026-10-11 — The solution correctly integrates twice and applies the initial conditions to determine the constants. The final expression matches the stated answer.
  • gpt-oss:20b: pass 2026-10-11
  • gpt-oss:20b: pass 2026-10-11
  • qwen3.6:27b-mlx: 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.