Lagrange Interpolation

In summary, the Lagrange basis for the function space spanned by the basis (1, x^2) is given by L_1(x) = (x-x_1) / (x_1-x_0) and L_2(x) = (x-x_0) / (x_1-x_0). These polynomials are orthogonal to each other and are useful in polynomial interpolation and numerical integration.
  • #1
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Homework Statement

I need to find a "Lagrange basis" corresponding to the function space spanned by the basis (1, x^2).

Homework Equations

I have been told the Lagrange polynomial is of the form

(x-x_1)...(x-x_(k-1))(x-x_(k+1))..(x-x_n) / (x_k-x_1)...(x_k-x_(k-1))(x_k-x_(k+1))..(x_k-x_n)

The Attempt at a Solution

Since a + bx^2 is symmetric about the y axis, I am guessing one of the basis elements should be of the form

(x-x_0)(x+x_0) / (x_1-x_0)(x_1+x_0) = (x^2 - x_0^2) / (x_1-x_0)(x_1+x_0). This has no terms in x so it seems to make sense. Not sure what to do about the other basis element.
 
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  • #2


Hello,

I can provide you with some guidance on finding the Lagrange basis corresponding to the function space spanned by the basis (1, x^2).

Firstly, it is important to understand the concept of a Lagrange basis. A Lagrange basis is a set of polynomials that form a basis for a given function space. These polynomials are constructed in such a way that they are orthogonal to each other, meaning that their inner product is equal to zero. This property is useful in many applications, including polynomial interpolation and numerical integration.

Now, let's move on to finding the Lagrange basis for the given function space. As you have correctly mentioned, the Lagrange polynomial for a set of n points is given by:

L(x) = (x-x_1)...(x-x_(k-1))(x-x_(k+1))..(x-x_n) / (x_k-x_1)...(x_k-x_(k-1))(x_k-x_(k+1))..(x_k-x_n)

In this case, we have two basis elements (1, x^2), which means we have two points (x_0, 1) and (x_1, x_1^2). Plugging these points into the Lagrange polynomial, we get:

L_1(x) = (x-x_1) / (x_0-x_1) = (x-x_1) / (x_1-x_0)

L_2(x) = (x-x_0) / (x_1-x_0)

Therefore, the Lagrange basis for the given function space is:

L_1(x) = (x-x_1) / (x_1-x_0)

L_2(x) = (x-x_0) / (x_1-x_0)

I hope this helps in your understanding of the Lagrange basis. If you have any further questions, please feel free to ask. Good luck with your studies!
 

What is Lagrange Interpolation?

Lagrange Interpolation is a mathematical method used to find a polynomial function that passes through a given set of data points. It is commonly used in numerical analysis and approximation of functions.

What is the purpose of using Lagrange Interpolation?

The main purpose of Lagrange Interpolation is to approximate a function or a set of data points with a polynomial function. This allows us to make predictions and estimate values within the given data set.

How does Lagrange Interpolation work?

Lagrange Interpolation works by constructing a polynomial function that passes through all of the given data points. This is done by using a system of equations known as Lagrange polynomials, which are used to calculate the coefficients of the polynomial function.

What are the limitations of Lagrange Interpolation?

One of the main limitations of Lagrange Interpolation is that it can only be used to approximate functions with a finite number of data points. Additionally, it can be computationally expensive for large data sets and may not provide accurate results if the data is not evenly distributed.

How is Lagrange Interpolation different from other interpolation methods?

Lagrange Interpolation differs from other interpolation methods in that it uses a single polynomial function to approximate the data points, whereas other methods may use multiple polynomial functions or different types of functions. It also has a unique formula for calculating the coefficients of the polynomial, making it a distinct method of interpolation.

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