Question 5 of 7: Romberg Integration of Tabulated Data
Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)
Notes on this paper
National Examinations, May 2018 — 04-BS-5 Advanced Mathematics, 3 hours, closed book (approved Casio/Sharp calculator and one double-sided aid sheet permitted). Any five of the seven questions constitute a complete paper and all questions are of equal value; all seven are answered below as a full study resource.
Reference texts: Kreyszig, Advanced Engineering Mathematics, 10th ed. (Wiley) — Ch. 5 (Series Solutions of ODEs about an ordinary point), Ch. 11 (Fourier Series, Fourier Integrals and Transforms), Ch. 19 (Numerics in General: interpolation, numerical differentiation, Romberg integration, iterative equation solving), Ch. 20 (Numeric Linear Algebra: Cholesky/LU factorization). Supporting: Chapra & Canale, Numerical Methods for Engineers, 7th ed. — Ch. 5–6 (bracketing and open root-finding methods), Ch. 18 (interpolation), Ch. 22 (Romberg integration); Strang, Introduction to Linear Algebra, 6th ed. — Ch. 2 (Cholesky/LU factorization).
Question 5: Romberg Integration of Tabulated Data (20 marks)
Given. Nine tabulated points spanning $x=-2$ to $x=2$ at uniform step $h=0.5$.
Find. The Romberg estimate $R(4,4)$ of $\displaystyle\int_{-2}^{2}y\,dx$.
Approach. Build trapezoidal estimates $R(k,1)$ for step sizes $H=4,2,1,0.5$ by sub-sampling the table (using every 8th, 4th, 2nd, and every point respectively), then Richardson-extrapolate the triangular array using the recursion.
Base trapezoidal estimates. $R(1,1)$ uses only the two endpoints ($H_1=4$); $R(2,1)$ adds the midpoint ($H_2=2$, nodes $-2,0,2$); $R(3,1)$ uses every second table point ($H_3=1$, nodes $-2,-1,0,1,2$); $R(4,1)$ uses the full table ($H_4=0.5$):
$$R(1,1)=\dfrac{4}{2}[10.0+90.0]=\boxed{200}$$
$$R(2,1)=\dfrac{2}{2}[10.0+2(80.0)+90.0]=\boxed{260}$$
$$R(3,1)=\dfrac{1}{2}[10.0+2(70.0+80.0+60.0)+90.0]=\boxed{260}$$
$$R(4,1)=\dfrac{0.5}{2}[10.0+2(63.75+70.0+86.25+80.0+68.75+60.0+61.25)+90.0]=\boxed{270}$$
Extrapolate column 4 ($j=4$, the final answer). $R(4,4)=R(4,3)+\dfrac{R(4,3)-R(3,3)}{63}=274.2\overline2+\dfrac{274.2\overline2-258.\overline6}{63}$
$$\boxed{R(4,4)=274.4691\ (=22232/81)}$$