Are Hermite Polynomials Always Cubic When Used for Interpolation?

In summary, the conversation discusses the use of Hermite interpolationg polynomials to interpolate between two points and whether they are necessarily cubic. The page provided suggests that they are cubic, known as a "clamped cubic." However, it is more accurate to say that there exists a cubic polynomial that satisfies certain constraints at two points, with four equations and four unknowns. This is the basis of the cubic spline. The conversation also suggests that for certain groups of points with slopes, the minimum curve that goes through both is a cubic.
  • #1
ice109
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are hermite interpolationg polynomials necessarily cubic even when used to interpolate between two points?

this page would have me believe so in calling it a "clamped cubic" :

http://math.fullerton.edu/mathews/n2003/HermitePolyMod.html
 
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  • #2
It's more the case that there exists a cubic polynomial of the form:

a x3 + b x2 + c x + d, which satisfies the constraints at two points, (x0, y0) and (x1, y1), where

p(x0) = f(x0) = y0

p(x1) = f(x1) = y1

and

p'(x0) = f'(x0) = y'0

p'(x1) = f'(x1) = y'1

4 equations, and 4 unknowns (a, b, c, d)

This is the basis of the cubic spline.
 
  • #3
i think given that argument for some groups of points with slopes the minimum curve that goes through both is a cubic.
 
  • #4
anyone?
 

Related to Are Hermite Polynomials Always Cubic When Used for Interpolation?

1. What are Hermite polynomials?

Hermite polynomials are a sequence of polynomials that are orthogonal with respect to the weight function e-x2. They are named after the French mathematician Charles Hermite.

2. What is the significance of Hermite polynomials?

Hermite polynomials have many applications in physics and mathematics, particularly in quantum mechanics, statistical mechanics, and signal processing. They are also used in the solution of differential equations.

3. How are Hermite polynomials calculated?

Hermite polynomials can be calculated using the recurrence relation Hn+1(x) = 2xHn(x) - 2nHn-1(x) or through the Rodrigues formula Hn(x) = (-1)nex2 (dn/dxn) e-x2.

4. What are the first few Hermite polynomials?

The first few Hermite polynomials are H0(x) = 1, H1(x) = 2x, H2(x) = 4x2 - 2, H3(x) = 8x3 - 12x, H4(x) = 16x4 - 48x2 + 12, etc.

5. How do Hermite polynomials relate to the Gaussian distribution?

The Hermite polynomials are closely related to the Gaussian distribution, also known as the normal distribution. In fact, the nth Hermite polynomial is proportional to the nth moment of the Gaussian distribution. This relationship is important in the study of probability and statistics.

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