Title: The Taylor Approximation
1Section 12.10
- The Taylor Approximation
- to a Function
2TAYLOR POLYNOMIAL OF ORDER n
The Taylor polynomial of order n based at a,
Pn(x), for the function f is the nth partial sum
of the Taylor series at a for f. Thus,
3MACLAURIN POLYNOMIALS
When a 0 in the Taylor Polynomial of order n,
we call it the Maclaurin polynomial of order n.
That is, the Maclaurin polynomial of order n is
the nth partial sum of the Maclaurin series for a
function f.
4TAYLORS THEOREM WITH REMAINDER
Let f be a function whose (n 1)st derivative
f (n 1) (x) exists for each x in an open
interval I containing a. Then, for each x in I,
whose remainder term (or error) Rn(x) is given by
the formula
and c is some point between x and a.
5USEFUL TOOLS FORBOUNDING Rn(x)
It is usually impossible to get an exact value
for Rn(x). So, we usually bound Rn(x). Our
primary tools are
- The triangle inequality. a b a b
- The fact that a fraction gets larger as its
denominator gets smaller. - The fact that a fraction gets larger as its
numerator gets larger. - sin x 1 cos x 1