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Cardinal interpolation functions are polynomials of the stated degrees
Statement
Let , let be real nodes, and let . Each cardinal function of Cardinal-polynomial interpolation is the evaluation of a formal polynomial of degree . The node function is the evaluation of a monic formal polynomial of degree , and whenever differs from every node. The function is the evaluation of a formal polynomial of degree at most . At every pair , if and otherwise.
Facts & Assumptions
Given: Ordered real nodes and real interpolation data.
Cardinal-polynomial interpolation: , , , and .
A finite product of monic linear factors is monic: a product of factors has a formal polynomial representative of degree and leading coefficient .
A finite coefficient vector has a canonical polynomial representative: every real coefficient vector through index represents a formal polynomial of degree at most , and a nonzero final coefficient is its leading coefficient.
Formal real polynomials, evaluation, degree, leading coefficient, and monic polynomials: a formal polynomial is its finite coefficient list and its evaluation function is the corresponding finite sum.
The reals form a field, The reals form a totally ordered field, and A field has no zero divisors: or : ordered distinct nodes give nonzero differences, a nonzero real has an inverse, and a product of two nonzero reals is nonzero.
A finite product of nonzero reals is nonzero: a finite product of nonzero real factors is nonzero, including the empty product.
A finite product of quotients is the quotient of finite products: a finite product of quotients with nonzero denominators is the quotient of the corresponding products.
Laws of finite sums and finite products: multiplying every term of a finite real sum by the same scalar multiplies the sum by that scalar.
Interchanging two finite real sums: the order of two finite sums over the same finite square index set may be interchanged.
Laws of finite sums and finite products: a finite product splits into its prefix product times its suffix product.
Multiplication by zero: : multiplying zero by any real gives zero.
Finite sums and finite products, by recursion: a finite product has empty value and extends by multiplying the next factor.
The principle of mathematical induction: induction on the natural-number list length is valid.
Proof
For , strict ordering of the nodes gives . The denominator product in is nonzero by [F6], so its inverse exists and is nonzero by [F5]. List the omitted-node indices in increasing order and put ; [F2] makes this a monic formal polynomial of degree . For an arbitrary real , apply [F7] to the real numerators and denominators in that list. It gives , also when by the empty-product convention. Scale the coefficient list of by ; the resulting vector has final coefficient . By [F3] and [F4] it represents a formal polynomial of degree , and [F8] gives its evaluation for every real .
If , each factor in is for a nonzero difference . Induction [F13] on the list length shows their product is : the empty product is , and appending a factor leaves it unchanged by [F12] and the field identity [F5]. This includes the empty list. If , the omitted-node list contains : its index is when and when . The corresponding quotient factor is because its numerator is , its denominator is nonzero, and [F11] gives times its inverse equal to . Splitting the finite product before and after that factor by [F10] writes as a prefix product times times a suffix product, which is by commutativity [F5] and [F11].
The product lemma [F2] applied to gives a monic polynomial of degree evaluating to , with degree and leading coefficient understood from the formal list [F4].
If differs from every node, each factor is nonzero by [F5], so the product lemma [F6] gives .
For each , let be the coefficient vector of the degree- representative from step 1.1. Define for . For every real , finite-sum scaling [F8], field distributivity, and double-sum interchange [F9] give The vector therefore gives, by [F3], a formal polynomial of degree at most evaluating to .
Depends on
- Cardinal-polynomial interpolation
- A finite coefficient vector has a canonical polynomial representative
- A finite product of monic linear factors is monic
- Formal real polynomials, evaluation, degree, leading coefficient, and monic polynomials
- Finite sums and finite products, by recursion
- Laws of finite sums and finite products
- The reals form a field
- The reals form a totally ordered field
- A field has no zero divisors: $ab = 0 \Rightarrow a = 0$ or $b = 0$
- A finite product of nonzero reals is nonzero
- A finite product of quotients is the quotient of finite products
- Interchanging two finite real sums
- Multiplication by zero: $0 \cdot a = 0$
- The principle of mathematical induction
Used by
- Best uniform polynomial error and Chebyshev interpolation operators Definition
- Collocation tableau from distinct quadrature nodes Definition
- Two Gaussian weights are the squared norms of the two cardinal polynomials Example
- A Gaussian collocation defect has a high-order weighted endpoint bound Lemma
- Chebyshev cardinal interpolation reproduces polynomials and its norm is the cardinal sum Lemma
- Collocation polynomial derivatives scale with the step size Lemma
- Collocation quadrature data are well defined Lemma
- Exact weights and degree-nine exactness of the eight-panel rule Lemma
- The Gaussian nodes, cardinal polynomials and weights are well-defined Lemma
- Barycentric interpolation identities Theorem
- Double-node Hermite interpolation has the stated pointwise remainder Theorem
- Existence and uniqueness of the cardinal-polynomial interpolant Theorem
- Gaussian quadrature is exact through degree 2m−1 and has positive weights Theorem
- Gaussian weights equal the total mass times a Jacobi eigenvector's first-coordinate square Theorem
- M-node collocation has local defect order M Theorem
- Pointwise Lagrange interpolation remainder Theorem
Dependency tree · two levels
41 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Mark Embree, Lecture Notes on Numerical Analysis, lecture 1 (standard reference, not scraped)
- Jean-Paul Berrut and Lloyd N. Trefethen, Barycentric Lagrange Interpolation (standard reference, not scraped)