- Asked 3/13
- 2075 Baisakh · 8 marks
Natural cubic spline: y(6.5)
Short answer
Natural cubic spline sets second derivatives zero at endpoints. With h=2, solving the tridiagonal system yields M1≈-1.9018, M2≈3.1071, M3≈-4.5268. For x=6.5 in [5,7], the spline gives y(6.5)≈8.8675.
Estimate y(6.5) using Natural cubic spline interpolation technique from the following data.
| x | 3 | 5 | 7 | 9 | 11 |
|---|---|---|---|---|---|
| y | 8 | 10 | 9 | 12 | 5 |
A natural cubic spline is a piecewise cubic S(x) that passes through all data points, has continuous first and second derivatives at the interior knots, and has zero second derivative at the end points (M₀ = Mₙ = 0).
Step 1: Setup
Points: n = 4 intervals, equal spacing h = 2. Let Mᵢ = S″(xᵢ), with M₀ = M4 = 0.
For equal spacing the continuity of S′ at each interior knot gives
M(i−1) + 4Mi + M(i+1) = (6/h²)(y(i+1) − 2yi + y(i−1)), i = 1 … 3
With 6/h² = 1.5:
4M1 + M2 = 1.5 × (9 − 2(10) + 8) = -4.5000
M1 + 4M2 + M3 = 1.5 × (12 − 2(9) + 10) = 6.0000
M2 + 4M3 = 1.5 × (5 − 2(12) + 9) = -15.0000
Solving these simultaneous equations (elimination) gives
M₀ = 0, M1 = -1.9018, M2 = 3.1071, M3 = -4.5268, M4 = 0
Step 2: Spline on the interval [5, 7]
S(x) = Mi(x(i+1) − x)³/(6h) + M(i+1)(x − xi)³/(6h)
+ (yi/h − Mi·h/6)(x(i+1) − x) + (y(i+1)/h − M(i+1)·h/6)(x − xi)
Here i = 1, x = 6.5: x2 − x = 0.5000, x − x1 = 1.5000, M1 = -1.9018, M2 = 3.1071.
S(6.5) = (-1.9018)(0.5000)³/12 + (3.1071)(1.5000)³/12
+ (5.6339)(0.5000) + (3.4643)(1.5000)
= -0.0198 + 0.8739 + 2.8170 + 5.1964
= 8.8675
Answer: y(6.5) ≈ 8.8675
✓ Answer checked by Claude Opus 5.5 (high effort)
Related questions
- Natural cubic spline: y(4.5) · Numerical Method, chapter 4 · asked 3×
- Natural cubic spline: y(0.5) · Numerical Method, chapter 4 · asked 3×
- Natural cubic spline: y(8) · Numerical Method, chapter 4
- Cubic spline and its advantage · Numerical Method, chapter 4
- Interpolation versus approximation spline · Computer Graphics, chapter 5 · asked 2×
- Uniform cubic B-spline segment points · Computer Aided Design, chapter 3
- K-map Σ(1,2,3,8,9,10,11,14)+d(0,4,12), NAND · Digital Logic, chapter 3 · asked 5×
- K-map Σ(0,1,4,8,10,11,12)+d, NOR · Digital Logic, chapter 3 · asked 5×