Taylor Polynomials
In this section we’ll discuss infinite series that can frequently be used to represent functions.
The Taylor Series of an infinitely differentiable function in a neighborhood of is defined to be
.
Taylor Polynomial
For any , the finite sum
is called a Taylor Polynomial, and may be used to approximate
near
.
That is:
for sufficiently close to
, and
sufficiently large.
Justification:
Note this is trivially true for .
Now consider the first-degree (linear) approximation for near
:
This is just the tangent line to at
, and so it is a reasonably good approximation of
near
.
In order to discuss higher degree Taylor Polynomials, we’ll look at a specific function.
Example:
Consider the function . We will find the first, second, third, and fourth-degree Taylor Polynomial approximations for
near
.
Linear Approximation:
.
(Graph of sin and and
)
This is only a good approximation very close to .
Note that this is a constant function, rather than a first-degree polynomial, because .
Second Degree Taylor Polynomial:
(Graph of sin and and
)
Third Degree Taylor Polynomial:
(This is the same as the second-degree polynomial, because )
Fourth Degree Taylor Polynomial:
(Graph of sin and and
)
Note that, as the degree gets larger, the polynomial approximation for the function gets better, even farther away from
.
(Graph of sin and and linear, second degree, fourth degree polynomials)
Many functions are equal to their Taylor Series on the entire number line or an open interval, but some are not.







