The Taylor polynomial approximates , but with what error? The remainder can be written in three equivalent forms, each useful in a different context.
Theorem — Taylor's formula with Lagrange remainder
If is differentiable times in a neighbourhood of , then for every in that neighbourhood there exists a point strictly between and such that
Remark — A linguistic reading: " "
The logical structure of the formula is nested: for every in the neighbourhood, there exists a (which depends on !) such that the equality holds. It is a "", not an "": the point changes with and is not known exactly, one knows only that it lies between and . For numerical applications this is enough: to bound the error one bounds over the whole interval (so the estimate holds whatever may be). Being able to read "" is, as Esty observes, a skill of a higher level than mere algebraic manipulation.
Theorem — Taylor's formula with Peano remainder
If is differentiable times at , then as where is a function that tends to zero more rapidly than (little-o).
Theorem — Taylor's formula with Cauchy remainder
Under Lagrange’s hypotheses, there exists between and such that
Remark — When to use which
- Lagrange: needed when one wants to estimate numerically the approximation error (it suffices to bound over the interval).
- Peano: needed when one wants to compute an indeterminate limit by replacing with its Taylor series.
- Cauchy: an alternative form of Lagrange, useful in some technical proof (rarely in calculations).
Links
Topics: Derivatives
Concepts: Little-o · Taylor polynomial · Taylor remainder
Methods: Taylor Lagrange remainder · Taylor Peano remainder
Skills: Estimating
People: Augustin-Louis Cauchy · Joseph-Louis Lagrange · Peano