Hermite Interpolation extended to second derivative

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The discussion revolves around finding a polynomial of least degree that meets specific conditions related to Hermite interpolation. The user initially attempts to create a third coefficient term to satisfy the second derivative condition but struggles with the implementation. They consider using Newton's Formalism for Hermite Interpolating Polynomials instead of Lagrange's method. Ultimately, the solution is provided as a polynomial expression: -1 + 2(x - 1) - 4(x - 1)^3(x - 2). The thread concludes with a reference to Newton's Form for the Hermite Interpolant for further clarification.
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1. Homework Statement

Find polynomial of least degree satisfying:
p(1)=-1, p'(1)=2, p''(1)=0, p(2)=1, p'(2)=-2

Homework Equations


In general, a Hermite Polynomial is defined by the following:
∑[f(xi)*hi(x)+f'(xi)*h2i(x)]
where:
hi(xj)=1 if i=j and 0 otherwise. Similarly with h'2. h'i(x)=0 and h2(x)=0. i.e., they are zero if they are integrated or derived.

Here is a page from wolfram with general information: http://mathworld.wolfram.com/HermitesInterpolatingPolynomial.html

The Attempt at a Solution


First, I recognized x0=1 and x1=2. I tried to create some third coefficient term in order to satisfy p''(1)=0, but that seems to mean that I would have to make hi(xj) be zero for the second derivative, and I have no idea how to do this. I tried just setting this new h (call it h3) equal to (x)(x-2) when derived twice and integrating (so that h3''=1 for x1 and zero otherwise) but that was a total flop.

I'm starting to think that, despite the question's section (it was in the section regarding Hermite Interpolating Polynomials), there is a better way to approach it. Any help would be greatly appreciated.
 
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For anyone reading this, I believe I have to use Newton's Formalism for the Hermite Interpolating polynomial, instead of Lagrange's.

EDIT- Yep, this is how to solve it. Answer is:
-1+2(x-1)-4(x-1)^3(x-2)

Here is a page describing Newton's Form for the Hermite Interpolant
 
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