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Today:
So it will pay to do that in advance.
The terms will be monomials -- functions with are simply constants times powers of x.
Now we realize that, with functions for terms, each value of x specified gives rise to an infinite series, and we might immediately wonder if the series is convergent for a particular choice of .
So what kind of function has an infinite number of terms? How do you evaluate such a thing? What kinds of function are these? It turns out that a lot of our old friends can be expressed this way
Now what did we assert about ? That
For what values of x would this converge?
Let's take a look at how well a truncated power series -- a partial sum -- approximates the real function.
Apply the ratio test for arbitrary x, and what do you discover?
So presents us with a case where we have an "infinite radius of convergence".
where . From this (and the power series for ) we can now deduce power series for the functions cosine and sine. Let's do that.
Excuse me for saying, but this is very cool. It illustrates for you, as perhaps nothing ever has, the value of using imaginary (and complex) numbers.
Let's look at an example where our radius of convergence is not so nice: consider . One can show that
Now: for what values of x do you think that this will converge?
Note that this is a variation on the theme of the ratio test: we don't consider the power terms, but only the coefficients.
Don't forget the endpoints!
Once we have one power series, we have an infinite number of other power series. We can use function composition to create others. [If you didn't have any respect for composition before, I hope you have some now!:)]
So, for example, from , we can produce series for
The other very important notion discussed here is the validity of differentiation and integration of power series. And the big news is that both operations are legitimate on the interval of convergence of the original power series:
Hence, we can also generate the following power series from the series for :
Let's talk error now. Remember error? As we discussed for the case of Simpson's rule, it's nice to give an estimate -- but even nicer when you can provide an error estimate, also....