∫Calc Practice

Second-order initial and boundary value problems

Problem 6.482 · medium

Solve \( \displaystyle y - 2 y' + y'' = 0 \) with \( \displaystyle y(0) = 1,\ y'(0) = -2 \).
  1. \[ m^{2} - 2 m + 1 = \left(m - 1\right)^{2} \]
    The characteristic equation has a repeated root 1.✓ Proved
  2. So y = C₁exp(x) + C₂x*exp(x); the two conditions fix C₁ and C₂.
  3. \[ \left(1 - 3 x\right) e^{x} - 2 \frac{d}{d x} \left(1 - 3 x\right) e^{x} + \frac{d^{2}}{d x^{2}} \left(1 - 3 x\right) e^{x} = 0 \]
    It satisfies the equation ...✓ Proved
  4. \[ \left. \left(1 - 3 x\right) e^{x} \right|_{\substack{ x=0 }} = 1 \]
    ... y(0) = 1 ...✓ Proved
  5. \[ \left. \frac{d}{d x} \left(1 - 3 x\right) e^{x} \right|_{\substack{ x=0 }} = -2 \]
    y′(0) = -2.✓ Proved
Answer \( y = \left(1 - 3 x\right) e^{x} \)

Lines: 4 proved, 1 not checked. 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. How we verify

The full receipt
LineStatusChecked byDetail
1✓ Provedsympy 1.14.0simplify(lhs - rhs) reduced to 0
2Not checked—a sentence; read, not computed
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 1.3.0finite differences of the answer satisfy the equation, and the conditions hold in floating point

Reviewers

  • gpt-oss:20b: pass
  • qwen3.6:27b-mlx: fail (misleading) — The solution verifies the final answer but fails to show the derivation of the constants C₁ and C₂ from the initial conditions. A student would not learn how to solve for the constants, only how to check a given answer.
Every verdict on record (6)
  • qwen3.6:27b-mlx: fail (misleading) 2026-10-17 — The solution verifies the final answer but fails to show the derivation of the constants C₁ and C₂ from the initial conditions. A student would not learn how to solve for the constants, only how to check a given answer.
  • gpt-oss:20b: pass 2026-10-17
  • qwen3.6:27b-mlx: fail (misleading) 2026-10-15 — The solution verifies the final answer but fails to demonstrate the derivation of the constants C₁ and C₂ from the initial conditions, which is the core of the problem. A student would not learn how to solve for the constants.
  • gpt-oss:20b: pass 2026-10-15
  • qwen3.6:27b-mlx: fail (error) 2026-10-14 — The solution fails to actually solve for the constants C₁ and C₂. It states that the conditions fix them, but then jumps to verifying the final answer without showing the derivation (C₁=1, C₂=-3). This skips the core logical step of the problem.
  • gpt-oss:20b: pass 2026-10-14

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/second_order_ivp_bvp, checked 2026-10-17 with SymPy 1.14.0.