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Interpolation, C1 matching, and cubic reproduction for Hermite pieces

Statement

For the data in Piecewise cubic Hermite interpolant, each piece has the prescribed endpoint values and slopes: Pi(xi)=yi, Pi(xi+1)=yi+1, Pi′(xi)=mi, and Pi′(xi+1)=mi+1. The resulting interpolant is C1 on [x0,xN] (with the corresponding one-sided derivatives at the endpoints). On a single interval, if the four prescribed endpoint data are the values and derivatives of a polynomial q of degree at most three, then Pi=q on that interval.

Facts & Assumptions

Given: Strictly increasing real nodes, values, and prescribed slopes as in Piecewise cubic Hermite interpolant.

[F1]

Piecewise cubic Hermite interpolant: on a cell, Pi=yiH00(t)+yi+1H01(t)+himiH10(t)+himi+1H11(t) with t=(x−xi)/hi and the four displayed cubic basis polynomials.

[F2]

Sum, product, quotient, and chain rules from difference quotients: for every integer m≥1, (xm)′=mxm−1.

Proof

1.1F1algebra

The basis values are H00(0)=1, H01(0)=H10(0)=H11(0)=0, and H01(1)=1, H00(1)=H10(1)=H11(1)=0. Substitution into [F1] gives Pi(xi)=yi and Pi(xi+1)=yi+1.

1.2F1F2algebra

Differentiating the displayed basis using [F2] gives (H00′,H01′,H10′,H11′)(0)=(0,0,1,0) and (H00′,H01′,H10′,H11′)(1)=(0,0,0,1). Since dt/dx=1/hi, differentiation of [F1] therefore gives Pi′(xi)=mi and Pi′(xi+1)=mi+1.

2.1step 1.1step 1.2

At a shared node xi, the left and right pieces both have value yi by step 1.1 and both have derivative mi by step 1.2. Thus the piecewise function and its first derivative match there; the one-sided endpoint statements follow from the same step 1.2 calculation.

3.1F1F2algebra∎

Write a degree-at-most-three polynomial in the normalized coordinate as q(t)=a0+a1t+a2t2+a3t3. For q=1, its endpoint values are (1,1) and scaled slopes are (0,0); for q=t, they are (0,1) and (1,1); for q=t2, they are (0,1) and (0,2); and for q=t3, they are (0,1) and (0,3), by [F2] and the chain rule under t=(x−xi)/hi. Substitution in [F1] gives H00+H01=1, H01+H10+H11=t, H01+2H11=t2, and H01+3H11=t3. The formula is linear in endpoint values and slopes, so it reproduces their linear combination q.

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Sources