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The Taylor Approximation

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Title: Section 11.1 Author: a_fuller Last modified by: mzabdawi Created Date: 4/2/2003 9:00:39 PM Document presentation format: On-screen Show Company – PowerPoint PPT presentation

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Title: The Taylor Approximation


1
Section 12.10
  • The Taylor Approximation
  • to a Function

2
TAYLOR 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,
3
MACLAURIN 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.
4
TAYLORS 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.
5
USEFUL 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
  1. The triangle inequality. a  b  a  b
  2. The fact that a fraction gets larger as its
    denominator gets smaller.
  3. The fact that a fraction gets larger as its
    numerator gets larger.
  4. sin x 1 cos x 1
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