Mean value theorem (divided differences)

In mathematical analysis, the mean value theorem for divided differences generalizes the mean value theorem to higher derivatives.

Statement of the theorem

For any n + 1 pairwise distinct points x0, ..., xn in the domain of an n-times differentiable function f there exists an interior point

ξ∈(min⁡{x0,…,xn},max⁡{x0,…,xn})

where the nth derivative of f equals n! times the nth divided difference at these points:

f[x0,…,xn]=f(n)(ξ)n!.

For n = 1, that is two function points, one obtains the simple mean value theorem.

Proof

Let P be the Lagrange interpolation polynomial for f at x0, ..., xn. Then it follows from the Newton form of P that the highest order term of P is f[x0,…,xn]xn.

Let g be the remainder of the interpolation, defined by g=f−P. Then g has n+1 zeros: x0, ..., xn. By applying Rolle's theorem first to g, then to g′, and so on until g(n−1), we find that g(n) has a zero ξ. This means that

0=g(n)(ξ)=f(n)(ξ)−f[x0,…,xn]n!,
f[x0,…,xn]=f(n)(ξ)n!.

Applications

The theorem can be used to generalise the Stolarsky mean to more than two variables.

References

  1. ↑ de Boor, C. (2005). "Divided differences". Surv. Approx. Theory. 1: 46–69. MR 2221566.