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Power Series, Taylor Series
Power Series: infinite polynomials
A power series about is a series of the form A power series about is a series of the form where the center and the coefficients are constants.
Example
Let for all , we have
We consider as a constant, it is the geometric series. The series converges when , and it converges to .
Convergence of a Power Series
It diverges when because .
It converges when .
It diverges when
It converges when
It diverges when because .
It converges when .
It converges when
It converges when
It converges for all
Convergence Theorem for Power Series
If the power series converges at with , then it converges absolutely for all , If the series diverges at , then it diverges for all with .
If it converges at , then we have that . That is, there exist such that for all .
Root test, for any , we have for , therefore, it convergs for .
If it diverges at ,then we can prove by contradiction, that it diverges for .
The convergence of the series is described by one of the following three cases:
There is a positive number such that the series diverges for with but converges absolutely for with . The series may or may not converge at either of the endpoints and .
The series converges absolutely for every ().
The series converges at and diverges elsewhere ().
is called the radius of convergence of the power series, and the interval of radius centered at is called the the interval of convergence. The interval may be open, closed, or half-open.
Steps to test the convergence of a power series
Use Ratio Test or Root Test to find the radius .
If is finite and positive. Test both endpoints using Comparison Test, Interal Test, or Alternating Series Test
Operations on Power Series
If and converge absolutely for , and then converges absolutely to for :
Substitute a function in a convergent power series
If converges absolutely for , then converges absolutely for any continuous function on .
The Term-by-Term Differentiation Theorem
If has radius of convergence , it defines a function The function has derivatives of all orders inside the interval, and we obtain the derivatives by differentiating the original series terms by term:
The Term-by-Term Integration Theorem
If converges for . Then converges for and for .
Example
Taking derivative, we have
So we have .
Series Representation
Assume that is the sum of a power series about :
Taylor and Maclaurin Series
Let be a function with derivatives of all orders throughout some interval containing as an interior point. Then its Taylor series at is The Maclaurin series of is the Taylor series at , or
Find the Taylor series generated by at . When does it converge to ?
We can find that
It converges when .
Taylor Polynomials
Let be a function with derivatives of order up to in some interval containing as an interior point. Then for any integer from 0 through , the Taylor polynomial of order generated by at is
Two questions.
When does the Taylor series converge to its generating function?
How accurately does a Taylor polynomial approximatie the function on a given interval?
Taylor's Theorem
If and its first derivatives , are continuous on an open interval containing , and is differentiable on the same interval, then for given , there exist a number between and such that The function is the remainder of order or the error term for using approximate over the interval .
If as for all , we say that the Taylor series generated by at converges to on , and we write
The Remainder Estimation Theorem
If there is a positive constant such that for all between and , inclusive, then the remainder term in Taylor's Theorem satisfies the inequality If this inequality (the same ) holds for every and the order conditions of Taylor's theorem are satisfied by , then the series converges to .
Example
For what can we replace by with an error of magnitude no greater than .
The Binomial Series for Powers and Roots
For a given constant (can be non-integer), computer the Taylor series generated by at . This is called binomial series, which converges absolutely for .
If is a positive integer or 0, finite terms
If is not a positive integer or 0, infinitely many terms
The Binomial Series
For , where we define
We can compute its Taylor series at .
We can compute its Taylor series at .
We can not compute its Taylor series at because it is not defined at .
Example
Evaluating Nonelementary Integrals and estimate
Use Taylor series to find a limit
It is , we can just use Taylor series.
We need to change it to first; it is equivalent to