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Taylor Polynomials

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Title: Taylor Polynomials Author: Meighan I Dillon Last modified by: Meighan I Dillon Created Date: 4/10/1999 9:36:17 PM Document presentation format – PowerPoint PPT presentation

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Title: Taylor Polynomials


1
Taylor Polynomials
  • Dr. Dillon
  • Calculus II
  • Southern Polytechnic State University
  • Fall 1999

2
The Best Functions...
are polynomials.
3
Polynomials Are Easy to Evaluate
You just have to multiply and add.
4
They Are Easy to Differentiate
The derivative of a polynomial is another
polynomial.
5
Polynomials Are Easy to Integrate
then
just another polynomial.
6
Its Easy to Find the Limit of a Poly
You plug in
then multiply and add.
7
Compare Polys to Other Functions
How do you evaluate?
Ask Fadyn!
He remembers!
8
Even Worse Functions
How do you evaluate??
You need a circle and ratios...
Its much more than adding and multiplying.
9
And Others...
How would you calculate it?
10
If We Could...
approximate these functions with polynomials,
where would we begin?
Begin with the simplest polynomial.
The simplest polynomial is linear.
11
Begin With a Line
Whats the best straight line approximation to a
function at a point?
12
The Tangent!
Note that you wont have a tangent unless its a
differentiable function.
And, you get different tangents at different
points on the curve.
13
Heres one straight line approximation
Heres another
14
Linear Approximation at a Point
What is the equation
15
To Find It
  • First differentiate
  • Then evaluate the derivative at the point
  • Thats the slope of the line
  • A point on the line is the point on the curve
  • Thats enough to get the equation for the line

16
An Example
The best straight line approximation to
17
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18
The Slope
The slope of the tangent is the slope of the
curve.
the slope of the tangent is
19
The Equation for the Line
20
The General Procedure
The best straight line approximation
21
Second Degree Approximations
A line is a degree one polynomial. A degree two
polynomial should give us a better approximation
to our function.
22
The first derivative gave us our degree one
approximation.
The second derivative will give us our degree
two approximation.
23
The Tangent Line
This is the only line with the same first
derivative as the function, passing through the
designated point.
24
The Degree Two Approximation
The only parabola with the same first and second
derivatives as the function, passing through the
designated point.
25
Our Example
26
How?
27
This Gives Us
28
Thus
Thats our best second degree polynomial
approximation to
29
Compare
The exponential is in red. The second degree
polynomial is in blue.
30
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31
Notice
Its hard to tell them apart when you zoom in.
32
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33
Implications
For values of x between -0.3 and 0.3
and
describe just about the same function.
34
Compare
and
Not exact, but pretty close.
35
Take x Closer to Zero
and
The closer x is to zero,
36
Better Approximations
To get better approximations, use higher degree
polynomials.
37
Definition
38
The Taylor polynomials are
the polynomials with the same value
as the given function,
at the given point.
39
Why Use Derivatives?
The derivatives of a function
determine its contours.
Functions with the same derivatives
have the same shape.
40
The Taylor Polynomial
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