Taylor polynomials is a generalization of the concept of a linearization.

Definition

The nth order Taylor polynomial of at the point is

Now this formula can be otherwise simplified into…

Formula

In the formula above, we use a value of which represents k factorial. For example, if we have , then the factorial would become .

Basic

for .


Computation rules

For relatively elementary functions it can be quite easy to compute Taylor polynomials. Sadly however, we often encounter complicated compositions of elementary function as well. Therefore, it can help to be able to express the Taylor polynomials for those complicated functions in terms of the Taylor polynomials of the elementary functions they are composed of. The following computation rules should allow for that method of computation.

Example

As an example let us obtain the fifth order Taylor polynomial of the function  centered at the point . Try taking some successive derivatives of this function (recall you will need five derivatives) to convince yourself that it would be nice to have a more efficient method of computing this Taylor polynomial.

Now we notice two things. Namely that the function  is the product of the function  with the function , which itself is a composition of the function  with the function . So by the product rule for Taylor polynomials we can express the fifth order Taylor polynomial of  in terms of the fourth order Taylor polynomial of . Furthermore by the substitution rule we can express the fourth order Taylor polynomial of  in terms of the second order Taylor polynomial of .

We start with the latter. The second order Taylor polynomial for  centered at the point  is easily computed as

since  and .

This means the fourth order Taylor polynomial for  centered at the point  is given by

So finally the fifth order Taylor polynomial for  centered at the point  is given by

You can check this result by actually computing the first five derivatives of  and evaluating them at . Hopefully you agree that using the computation rules was much less work than computing all these derivatives!