Frequency: 3 sub-parts across 3 of 13 years (2016, 2018, 2020)
Priority tier: T3
Marks (count): 15 (2), 20 (1)
Average solve time: ~14 min
Difficulty mix: medium 3
Section: B | Dominant type: derivation
Why This Chapter Matters
Gaussian quadrature and undetermined-coefficients quadrature are among the highest-mark derivation problems in Paper 2’s numerical methods section. The 2016 question (15 marks) derives the two-point Gauss-Legendre rule from scratch and applies it; the 2018 question (15 marks) finds a three-parameter formula by matching monomials; the 2020 question (20 marks) constructs a weighted quadrature rule using Beta-integral moments. All three use the same core technique — set up a linear system by requiring the formula to be exact on 1,x,x2,… — and then evaluate. Getting the moment integrals right is the only genuinely hard part.
Minimum Theory
Undetermined coefficients method. A quadrature formula ∫abw(x)f(x)dx≈∑icif(xi) with k free parameters is determined by requiring exactness on the k monomials 1,x,x2,…,xk−1. This gives a k×k linear system for the parameters.
Gauss-Legendre rule (2 points). On [−1,1] with w(x)=1 and two free nodes x1,x2 and weights w1,w2 (four parameters), impose exactness on 1,x,x2,x3. By symmetry: w1=w2=1, x1=−x2=1/3. The rule ∫−11fdx≈f(1/3)+f(−1/3) is exact for all polynomials of degree ≤3.
Rescaling. For ∫abf(x)dx, use x=2a+b+2b−at (t∈[−1,1], dx=2b−adt) to convert to the standard [−1,1] interval. The Jacobian factor 2b−a must be included unless b−a=2.
Question Archetypes
Archetype
Recognition
gauss-quadrature
”Show that the two-point Gauss rule is …; use it to evaluate …“
undetermined-coefficients-quadrature
”Find constants such that ∫f=h[af(x0)+bf(x1)+cf(x2)] is exact to highest degree”
gauss-quadrature (1 question(s); 2016)
Recognition Cues
“Show that the two-point Gauss quadrature rule on [−1,1] is f(1/3)+f(−1/3).”
“Using this rule, estimate ∫abf(x)dx” where [a,b]=[−1,1].
Free nodes and weights; exactness through degree 2n−1 for n points.
Solution Template
Set up the system. Write w1f(x1)+w2f(x2)=∫−11xkdx for k=0,1,2,3.
Invoke symmetry. Take w1=w2=w, x2=−x1 to halve the unknowns.
Solve.k=0 gives w=1; k=2 gives x12=1/3, so x1=1/3.
Rescale to [a,b]. Map t∈[−1,1] to x∈[a,b] via x=2a+b+2b−at; include Jacobian.
Evaluate the rescaled function at t=±1/3.
Worked Example
2016 Paper 2, 2016-P2-Q7c (15 marks)
Show that the two-point Gauss quadrature rule is ∫−11f(x)dx=f(1/3)+f(−1/3) and use it to estimate ∫242xexdx.
Derivation. Four unknowns w1,w2,x1,x2; impose exactness on 1,x,x2,x3 over [−1,1]:
Result a=0 is correct. In the 2018 question, the weight on f(0) genuinely vanishes — the node drops out entirely. Do not try to force a=0.
Three conditions, degree 2 or 3. With 3 free weights and fixed nodes, the rule is normally exact only through degree 2. The 2020 rule reaches degree 3 by coincidence of the weight’s symmetry — but do not assume this in general.
Get the error constant, not just the order. The examiner expects E=−216h4f′′′(ξ), not just "O(h4)".
Rescaling factor. For Gauss-Legendre on [a,b], the Jacobian is 2b−a. In 2016 it equals 1 (since b−a=2) but this is coincidental; on any other interval forgetting the factor loses marks.
Identify f in the weighted integral. In 2020, split 1/x−x3=f(x)/x(1−x) by factoring the denominator; then f(x)=1/1+x.
Marks-Aware Writing
A 15-mark derivation answer must show: explicit exactness conditions for each monomial (written as equations, not just stated), the solution of the linear system step by step, a check on the next failing monomial, and the error constant computed from the first failing case. A 20-mark answer additionally requires: the moment integrals evaluated explicitly, the identification of the highest degree of exactness, and the application to the specific integral with all numerical values shown.
Practice Set
2016-P2-Q7c (15 m) — — Hint: symmetry gives w1=w2=1; rescale [2,4]→[−1,1] via x=3+t; Jacobian = 1 here.
2018-P2-Q7b (15 m) — — Hint: a=0 is the correct answer; error constant is −1/216, not just O(h4).
2020-P2-Q7b (20 m) — — Hint: use Beta moments μ0=π, μ1=π/2, μ2=3π/8; factor denominator to identify f(x)=1/1+x.
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