Math 2.0

Approximations and expansions Definition

Lagrange interpolation

Builds on FieldPolynomial ringPolynomial interpolation

Definition

Let KK be a field, let n≥0n \ge 0, let x0,…,xn∈Kx_0, \dots, x_n \in K be pairwise distinct, and let y0,…,yn∈Ky_0, \dots, y_n \in K. For j=0,…,nj = 0, \dots, n, the Lagrange basis polynomial is ℓj(x)=∏k≠jx−xkxj−xk∈K[x].\ell_j(x) = \prod_{k \ne j} \frac{x - x_k}{x_j - x_k} \in K[x]. The Lagrange interpolation polynomial of the data is L(x)=∑j=0nyj ℓj(x).L(x) = \sum_{j=0}^{n} y_j \, \ell_j(x).

Remarks

Each ℓj\ell_j has degree nn, with ℓj(xj)=1\ell_j(x_j) = 1 and ℓj(xk)=0\ell_j(x_k) = 0 for k≠jk \ne j. So LL has degree at most nn and L(xi)=yiL(x_i) = y_i for all ii: it is the unique interpolation polynomial of the data. Example: for the data (0,1)(0, 1), (1,3)(1, 3), (2,7)(2, 7), the basis polynomials are ℓ0=(x−1)(x−2)2\ell_0 = \frac{(x-1)(x-2)}{2}, ℓ1=−x(x−2)\ell_1 = -x(x-2) and ℓ2=x(x−1)2\ell_2 = \frac{x(x-1)}{2}. Then L=ℓ0+3ℓ1+7ℓ2=x2+x+1L = \ell_0 + 3 \ell_1 + 7 \ell_2 = x^2 + x + 1, and indeed L(0)=1L(0) = 1, L(1)=3L(1) = 3, L(2)=7L(2) = 7. Non-example: if two nodes coincide, xj=xkx_j = x_k with j≠kj \ne k, the denominator xj−xkx_j - x_k is 00 and the formula has no meaning.

Reading path

To understand this page from the ground up, read these 8 pages in order. The foundations come first.

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  1. Group concept
  2. Polynomial interpolation concept
  3. Ring definition
  4. Commutative ring definition
  5. Polynomial ring definition
  6. Unit of a ring definition
  7. Field definition
  8. Lagrange interpolation definition

Further reading

  1. Web https://en.wikipedia.org/wiki/Lagrange_polynomial
About this page
TagQGQTYT6YZR
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Kinddefinition
WritingW0 stub
MSC41A05, 65D05
DefinesLagrange interpolation
UsesField, Polynomial ring, Polynomial interpolation
Changed2 November 2026

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