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The highest derivative of a polynomial
Statement
Let , , and let be the evaluation function of a formal real polynomial of degree at most , or the zero polynomial. Write its actual coefficient list through its degree and extend that list by zeros to (all zero for the zero polynomial); this is an evaluation vector, not a change to the formal polynomial object. Define iterated derivatives as in Higher derivatives and the classes and and write , with each natural factor read as its canonical real image under The canonical natural of a field. Then for every . In particular, this derivative is zero if , and it is if is monic of degree .
Facts & Assumptions
Given: A natural number and the evaluation function and padded coefficient vector of a formal polynomial of degree at most , or of the zero polynomial with its all-zero evaluation vector.
Formal real polynomials, evaluation, degree, leading coefficient, and monic polynomials: a nonzero formal real polynomial is a finite coefficient list with nonzero final coefficient, and its evaluation is the corresponding finite sum of coefficients times powers. The zero polynomial is a separate formal object with no degree.
Higher derivatives and the classes and : and, wherever is differentiable, .
For a natural the function is differentiable everywhere with derivative ; for it is the constant , with derivative ; for a natural the function is differentiable at every with derivative ; consequently every polynomial function is differentiable at every real, with the derivative computed term by term and The canonical natural of a field: every finite polynomial sum is differentiable term by term; has derivative for , where the natural coefficient is its canonical real image, and is constant with derivative .
The principle of mathematical induction: a property true at and inherited by successors holds for every natural number.
The canonical natural of a field: a natural number used as a real scalar denotes its canonical real image; the image of a successor is the image of its predecessor plus .
The factorial and the falling factorial , defined by recursion in : the full falling product is the natural factorial , which is also the natural product .
Laws of finite sums and products in , and : the canonical real image of a finite natural product is the corresponding product of real images, so the product representation of in [F6] becomes the stated .
Proof
For a nonzero formal polynomial, [F1] gives , since zero padding adds only zero terms. For the zero polynomial, and the given evaluation vector is all zero, so the same identity holds without representing the formal object by a coefficient list. For , define the real function , with the empty product equal to ; each factor is natural because .
At , by [F2]. If and , termwise differentiation in [F3] kills the constant term and multiplies each term with by its exponent ; for each , the resulting real coefficient is . Indeed the finite natural product extends by its last factor, and [F7] carries that natural identity to the product of canonical real images. The new exponent is , so the differentiated sum is exactly . Hence .
Apply [F4] to the property that implies . Step 2.1 proves . If holds and , then and step 2.1 proves ; if , is vacuous. Thus holds.
At , the sum defining contains only and equals : [F6] identifies the natural falling product with , and [F7] carries it to the real product in the statement. This proves the stated derivative and both special cases.
Depends on
- Formal real polynomials, evaluation, degree, leading coefficient, and monic polynomials
- Higher derivatives and the classes $C^k$ and $C^\infty$
- For a natural $n \ge 1$ the function $x \mapsto x^{n}$ is differentiable everywhere with derivative $\iota(n)\,x^{\,n-1}$; for $n = 0$ it is the constant $1$, with derivative $0$; for a natural $n \ge 1$ the function $x \mapsto x^{-n}$ is differentiable at every $x \ne 0$ with derivative $-\iota(n)\,x^{-n-1}$; consequently every polynomial function is differentiable at every real, with the derivative computed term by term
- The principle of mathematical induction
- The canonical natural $\iota(n) = n \cdot 1_F$ of a field
- The factorial $n!$ and the falling factorial $n^{\underline{k}}$, defined by recursion in $\mathbb{N}$
- Laws of finite sums and products in $\mathbb{N}$, and $\iota\big(\sum_{k<n} a_k\big) = \sum_{k<n} \iota(a_k)$
Used by
Dependency tree · two levels
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Sources
- Mark Embree, Lecture Notes on Numerical Analysis, lecture 3 (standard reference, not scraped)
- Jean-Paul Berrut and Lloyd N. Trefethen, Barycentric Lagrange Interpolation (standard reference, not scraped)