How can we use interpolation to create two functions?

  • Thread starter haya
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In summary, the conversation discusses a problem with using L's to verify an equation and how to show that g(x) equals 0 for certain values of x. The individual suggests using the fact that 1 can be written as a combination of (xn-x)/(xn-x0) and (x-x0)/(xn-x0) to write g(x) in a specific form.
  • #1
haya
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Homework Statement



[PLAIN]http://im2.gulfup.com/2011-04-01/1301652393881.gif

Homework Equations




how can we do into 2 functions

The Attempt at a Solution



[PLAIN]http://im2.gulfup.com/2011-04-01/1301652475262.gif
 
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  • #2
I do not understand what you are trying to do with all those L's. Just let x=x0,x1,.,xn to verify the equation.
 
  • #3
how can i show that ?
 
  • #4
let
g(x)=-f(x)+p(x)(xn-x)/(xn-x0)+q(x)(x-x0)/(xn-x0)
we want to prove that
g(x)=0 for x=x0,x1,.,xn
given
p(x)-f(x)=0 for x=x0,x1,.,xn-1
q(x)-f(x)=0 for x=x1,x2,.,xn

hint
use the fact that 1=(xn-x)/(xn-x0)+(x-x0)/(xn-x0)

to write g(x) as
g(x)=-f(x)(xn-x)/(xn-x0)-f(x)(x-x0)/(xn-x0)
+p(x)(xn-x)/(xn-x0)+q(x)(x-x0)/(xn-x0)
 

What is interpolation and why is it important in science?

Interpolation is the process of estimating values between two known data points by using mathematical functions. It is important in science because it allows us to make predictions and fill in missing data points in a dataset.

What are the different types of interpolation functions?

The most commonly used interpolation functions include linear, polynomial, spline, and nearest neighbor methods.

How does interpolation differ from extrapolation?

Interpolation involves estimating values within a known range of data points, while extrapolation involves estimating values outside of the known range of data points. Extrapolation is more prone to error and should be used with caution.

What are some real-world applications of interpolation functions?

Interpolation functions are used in various fields of science, such as weather forecasting, economic analysis, and image processing. They are also used in computer graphics to create smooth curves and surfaces.

What are the potential limitations of using interpolation functions?

Interpolation functions are based on mathematical models and assumptions, so they may not always accurately represent the data. Additionally, they can only be used within the range of known data points, and extrapolation may introduce errors. Careful selection and evaluation of data points is important for accurate interpolation.

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