Newton Polynomials through Specific Points

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SUMMARY

The discussion focuses on constructing a second-degree polynomial that interpolates the points x0, x2, and x3 using Newton's interpolation method. The user initially completed a difference table for four points and seeks clarification on whether to exclude point x1 or utilize Lagrange interpolation principles. The suggested approach involves expressing the polynomial in the form y = A(x-x2)(x-x3) + B(x-x0)(x-x3) + C(x-x0)(x-x2) and determining coefficients A, B, and C by evaluating the polynomial at specific points.

PREREQUISITES
  • Understanding of Newton's interpolation method
  • Familiarity with Lagrange interpolation polynomials
  • Basic knowledge of polynomial functions
  • Ability to construct and evaluate difference tables
NEXT STEPS
  • Study the construction and application of Lagrange interpolation polynomials
  • Learn about Newton's divided difference method for polynomial interpolation
  • Explore the properties and applications of polynomial functions in numerical analysis
  • Practice constructing difference tables for various sets of points
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Students, mathematicians, and engineers interested in numerical methods, specifically those working with polynomial interpolation techniques.

veronicak5678
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I have completed a difference table for 4 points, x0, x1, x2, x3 and found the third degree poly that goes through these four points. Now I need to know how to make the polynomial of second degree that interpolates x0, x2, and x3. Do I just need to remake the table for 3 points, now excluding point x1?
 
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You could do that, or you could use the basic idea of Lagrange interpolation polynomials:

The polynomial A(x-a)(x-b) is zero when x = a and x = b, and you can make it have any value you want at a third point x = c by choosing the value of A

So write the polynomial in the form
y = A(x-x2)(x-x3) + B(x-x0)(x-x3) + C(x-x0)(x-x2)

If you evaluate it at x = x0, you get
y0 = A(x0-x2)(x0-x3)
which gives you the value of A, and similarly for B and C.
 
Thank you!
 

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