∫Calc Practice

Riemann sums: left, right and midpoint

Problem 4.852 · medium

Compute the right Riemann sum \( \displaystyle R_{6} \) for \( \displaystyle f(x) = - x^{2} - 3 x + 12 \) on \( \displaystyle [1, 4] \).
  1. \[ 1 \cdot \frac{1}{2} = \frac{1}{2} \]
    Δx = (b − a)/n.✓ Proved
  2. The right endpoints are x = 3/2, 2, 5/2, 3, 7/2, 4.
    Reviewed
  3. \[ \frac{-16 - \frac{43}{4} - 6 - \frac{7}{4} + 2 + \frac{21}{4}}{2} = - \frac{109}{8} \]
    Δx times the sum of the function values there.✓ Proved
  4. For comparison, the exact integral is -15/2 ≈ -7.5000.
    Reviewed
Answer \( R_{6} = - \frac{109}{8} \approx -13.6250 \)

Lines: 2 proved, 2 reviewed. 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
2Reviewedreviewers: gpt-oss:20b, qwen3.6:27b-mlxa sentence; read, not computed
3✓ Provedsympy 1.14.0simplify(lhs - rhs) reduced to 0
4Reviewedreviewers: gpt-oss:20b, qwen3.6:27b-mlxa sentence; read, not computed
answer, a second way✓ Checked independentlysympy 1.14.0 + mpmath 1.3.0the sum recomputed in 30-digit floating point

Reviewers

  • gpt-oss:20b: pass
  • qwen3.6:27b-mlx: pass — The solution correctly identifies the step size, the right endpoints, and computes the sum accurately. The comparison with the exact integral is optional but correct.
Every verdict on record (4)
  • gpt-oss:20b: pass 2026-10-10
  • qwen3.6:27b-mlx: pass 2026-10-10 — The solution correctly identifies the step size, the right endpoints, and computes the sum accurately. The comparison with the exact integral is optional but correct.
  • qwen3.6:27b-mlx: inconclusive 2026-10-10 — reviewer returned a non-object
  • gpt-oss:20b: pass 2026-10-10

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/riemann_sums, checked 2026-10-10 with SymPy 1.14.0.