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04-BS-5 · December 2015

Question 4 of 7: Polynomial Interpolation — Newton Divided Differences and Lagrange

Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)

Notes on this paper

EGBC National Examination — 04-BS-5 Advanced Mathematics, December 2015. Closed-book, 3-hour exam; candidates were permitted one 8.5"x11" aid sheet (both sides) and an approved calculator. The exam instructs that any five questions constitute a complete paper (first five answers in the answer book are marked); every question is solved below as a full study resource.

Reference texts: Kreyszig, Advanced Engineering Mathematics, 10th ed. — Ch.11 (Fourier series/transforms, Sturm–Liouville problems), Ch.19–20 (interpolation, numerical integration, root-finding, LU decomposition).

Question 4: Polynomial Interpolation — Newton Divided Differences and Lagrange (A: 10 marks, B: 10 marks)

Question text not reproduced: the examination questions are © Engineers and Geoscientists BC. Open the official past paper (linked at the top of this page) to read the question, then follow the worked solution below.

Find. (A) The Newton divided-difference table and the resulting interpolating polynomial for six data points; (B) the Lagrange interpolating polynomial through the four points above.

Approach. Build the divided-difference triangle level by level for (A); use the Lagrange cardinal-basis formula directly for (B); both are cross-checked to reconstruct every tabulated value.

  1. (A) Divided-difference table. With $x_0,\dots,x_5=-3,-2,0,3,5,6$ and $F(x_0),\dots,F(x_5)=-28,0,8,-10,28,80$: $$f[x_i,x_{i+1}]=\frac{F(x_{i+1})-F(x_i)}{x_{i+1}-x_i}:\quad 28,\ 4,\ -6,\ 19,\ 52$$ $$f[x_i,x_{i+1},x_{i+2}]:\quad -8,\ -2,\ 5,\ 11 \qquad f[\dots,x_{i+3}]:\quad 1,\ 1,\ 1$$ $$f[\dots,x_{i+4}]:\quad 0,\ 0 \qquad f[x_0,\dots,x_5]:\quad 0$$ The 4th and 5th divided differences vanish identically, so the true interpolating polynomial has degree 3, not 5 — "highest possible degree" here means the degree the data actually supports once the higher differences collapse.
  2. (A) Assemble Newton's form. Using the top diagonal $f[x_0]=-28$, $f[x_0,x_1]=28$, $f[x_0,x_1,x_2]=-8$, $f[x_0,x_1,x_2,x_3]=1$: $$P(x) = -28 + 28(x+3) - 8(x+3)(x+2) + 1\cdot(x+3)(x+2)(x-0).$$ Expanding, $$\boxed{P(x) = x^{3} - 3x^{2} - 6x + 8}$$ which reproduces all six tabulated values exactly.
  3. (B) Lagrange cardinal form. With two of the four ordinates zero ($x=-2,4$), only the $x=-5$ and $x=0$ terms contribute: $$L_0(x)=\frac{(x+2)(x-0)(x-4)}{(-3)(-5)(-9)} = \frac{x(x+2)(x-4)}{-135}, \qquad L_2(x)=\frac{(x+5)(x+2)(x-4)}{(5)(2)(-4)} = \frac{(x+5)(x+2)(x-4)}{-40}.$$ $$P(x) = -162\,L_0(x) + 8\,L_2(x) = \frac{6}{5}\,x(x+2)(x-4) - \frac{1}{5}(x+5)(x+2)(x-4).$$
  4. (B) Factor and simplify. Both terms share the factor $(x+2)(x-4)$: $$P(x) = (x+2)(x-4)\left[\frac{6x - (x+5)}{5}\right] = (x+2)(x-4)\cdot\frac{5x-5}{5} = (x+2)(x-4)(x-1).$$ $$\boxed{P(x) = (x+2)(x-4)(x-1) = x^{3} - 3x^{2} - 6x + 8}$$

Both interpolants collapse to the same cubic $x^{3}-3x^{2}-6x+8$ — the exam samples one underlying cubic twice, at two different point sets, once via Newton's divided differences and once via Lagrange, which is a strong internal cross-check that both methods were applied correctly.

Final results — Question 4
QuantityResult
(A) True degree of the interpolant3 (4th & 5th divided differences $=0$)
(A) Newton polynomial$x^{3}-3x^{2}-6x+8$
(B) Lagrange polynomial$x^{3}-3x^{2}-6x+8 = (x+2)(x-4)(x-1)$