Taylor Polynomials
Review of the Tangent Line
Recall that if f(x) is a function, then f
'(a) is the slope of the tangent
line at x = a. Hence
y - f(a) = f '(a)(x - a)
or
P1(x) = y = f(a) + f
'(a)(x - a)
is the equation of the tangent
line. We can say that this is the best linear approximation to
f(x) near a.
Note: P1'(x) =
f '(a).
Quadratic Approximations
Example:
Let
f(x) = e2x
Find the best quadratic approximation at x =
0.
Solution
Note
f '(x) = 2e2x
and
f ''(x) = 4e2x
Let
P2(x) = a0 + a1x +
a2x2
Note
P'2(x) = a1 + 2a2x
and
P''2(x) = 2a
Hence
a0 = 1
P2'(0) =
a1 = f '(0) = 2
Hence
a1 =
2
P2''(0) = 2a2 =
f ''(0) = 4
Hence
a2
= 2 So
P2(x) = 1 + 2x + 2x2
The Taylor Polynomial
Suppose that we want the best nth degree approximation to f(x)
at x = a. We compare f(x) to
Pn(x) = a0 + a1(x - a) +
a2(x - a)2 + a3(x - a)3
+ ... + an(x - a)n
We make the following observations:
f(a) = Pn(a) = a0
so that
a0 =
f(a)
f '(a) = P'n(a) = a1 + 2a2(x - a) +
3a3(x - a)2 + ... + nan(x - a)n-1
at x = a
so that
a1 = f '(a)
f ''(a) = P''n(a) = 2a2 +
(3)(2)a3(x - a)+ ... + n(n - 1)an(x - a)n-2
at x = a
so that
a2 = 1/2 f ''(a)
Note Each time we take a derivative we pick up the next integer in other
words
1
a3 =
f '''(a)
(2)(3)
If we define f(k)(a) to mean the kth derivative of
f evaluated at a then
1
ak =
f(k)(a)
k!
In General
The Taylor Polynomial
The nth degree Taylor polynomial at x =
c is
Pn(x) = f(c) + f
'(c)(x - c) + f ''(c)/2!(x - c)2
+
f (3)(c)/3! (x - c)3 + ... +
f (n)(c)/n! (x - c)n
= S
f (k)(c)/k! (x - c)k
where the sum goes from 0 to n. |
The special case when a = 0 is called the McLaurin
Series
The McLaurin Polynomial
The McLaurin Polynomial of a differentiable function
f(x) is
S
f (k)(0)/k! xk
where the sum goes from 0 to n. |
Examples:
Find the fifth degree McLaurin Polynomial for sin x
f(0) = sin(0) = 0
f '(0) = cos(0) = 1
f ''(0) = -sin(0) = 0
f (3)(0) = -cos(0) = -1
f (4)(0) = sin(0) = 0
f (5)(0) = cos(0) = 1
So that
1
0
-1
0
5
P5(x) = 0 +
x + x2 +
x3 +
x4 +
x5
1!
2!
3!
4! 5!
x3
x5
= x -
+
6
120
Taylor's Remainder
Taylor's Remainder Theorem says that any smooth function can be written
as an nth degree Taylor polynomial plus a function that is of
order n + 1 near x = c.
Taylor's Remainder
Theorem
If f is smooth from a
to
b, let Pn(x)
be
the nth degree Taylor polynomial
at x =
c, then for every x
there
is a z between x
and
c with
f (n+1)(z)
f(x) = Pn(x) +
(x -
c)n+1
(n + 1)!
|
Example
We have
(.1)3
(.1)5 -sin z
sin(.1) = .1 -
+
+
= .099833416667 + E
6
120 6!
Where
1
E <
(.1)6 = .0000000014
6!
Example
Use an 11th degree Taylor polynomial to approximate
Solution First
notice that there is no elementary antiderivative. Hence, we find the
Taylor polynomial and then integrate. We have
Plugging
in x2 for x, gives
Now
integrate to get
We ignore all terms after the 11th
power term to get
1.46253 The actual integral up to five decimal places of accuracy
is
1.46265
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