If a function
is
times continuously differentiable at a point
we can compute its Taylor polynomial of degree
at
as follows:
where
is a remainder term which satisfies
with
the maximum value of
for all
such that
.
The Taylor polynomial is an
approximation of the function; the remainder term measures the error in this
approximation. For example, the Taylor polynomial of degree
at
for the function
is computed as follows:
Putting these terms together we get
The class software can do the entire computation for us, by using
Compute+Power Series and choosing 5 for the number of terms
and
for the power.
The term
represents the remainder, and signifies that the remainder is a fifth order
term.
In the figure below both
and its 4th degree Taylor polynomial about zero are plotted. (When you do this
you should make sure that you do not include the
term in the plot.)

We see that close to 0 the two curves are identical, further away they no longer match. If we want a better measure of the actual error we plot

We see that in the interval
this error is less than 0.05.
The Taylor
series of
at
is
.
The special case of
is called the Maclaurin series of
.
Problems
Use the class software to find the Taylor polynomials up to degree 6 for
centered at
.
Graph
and these polynomials on a common screen.
Evaluate
and these polynomials at
and
.
Comment on how the Taylor polynomials converge to
.
Use the class software to find the Taylor polynomials up to degree 3 for
centered at
.
Graph
and these polynomials on a common screen.
Evaluate
and these polynomials at
and
.
Comment on how the Taylor polynomials converge to
.
More Problems
Use the class software to find the Taylor polynomial of degree 7 for the given
functions around the indicated points. Plot the function together with the
Taylor polynomial in a single graph. Then plot the actual error:
.
Choose your units carefully and estimate the size of the error.
Would the Taylor polynomials of degree 5 be better or worse approximations to the functions? Explain. What about the degree 9 Taylor polynomials? Explain.
Find the Maclaurin series for
.
Then use it to find a series which is equal to
.