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Power series

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In mathematics, a power series (in one variable) is an infinite series of the form

Failed to parse (Missing texvc executable; please see math/README to configure.): f(x) = \sum_{n=0}^\infty a_n \left( x-c \right)^n = a_0 + a_1 (x-c)^1 + a_2 (x-c)^2 + a_3 (x-c)^3 + \cdots

where an represents the coefficient of the nth term, c is a constant, and x varies around c (for this reason one sometimes speaks of the series as being centered at c). This series usually arises as the Taylor series of some known function; the Taylor series article contains many examples.

In many situations c is equal to zero, for instance when considering a Maclaurin series. In such cases, the power series takes the simpler form

Failed to parse (Missing texvc executable; please see math/README to configure.): f(x) = \sum_{n=0}^\infty a_n x^n = a_0 + a_1 x + a_2 x^2 + a_3 x^3 + \cdots.

These power series arise primarily in analysis, but also occur in combinatorics (under the name of generating functions) and in electrical engineering (under the name of the Z-transform). The familiar decimal notation for integers can also be viewed as an example of a power series, but with the argument x fixed at 10. In number theory, the concept of p-adic numbers is also closely related to that of a power series.

Image:Exp series.gif
The exponential function (in blue), and the sum of the first n+1 terms of its Maclaurin power series (in red).

Contents

Examples

Any polynomial can be easily expressed as a power series around any center c, albeit one with most coefficients equal to zero. For instance, the polynomial Failed to parse (Missing texvc executable; please see math/README to configure.): f(x) = x^2 + 2x + 3

can be written as a power series around the center Failed to parse (Missing texvc executable; please see math/README to configure.): c=0
as
Failed to parse (Missing texvc executable; please see math/README to configure.): f(x) = 3 + 2 x + 1 x^2 + 0 x^3 + 0 x^4 + \cdots \,

or around the center Failed to parse (Missing texvc executable; please see math/README to configure.): c=1

as
Failed to parse (Missing texvc executable; please see math/README to configure.): f(x) = 6 + 4 (x-1) + 1(x-1)^2 + 0(x-1)^3 + 0(x-1)^4 + \cdots \,

or indeed around any other center c. One can view power series as being like "polynomials of infinite degree," although power series are not polynomials.

The geometric series formula

Failed to parse (Missing texvc executable; please see math/README to configure.): \frac{1}{1-x} = \sum_{n=0}^\infty x^n = 1 + x + x^2 + x^3 + \cdots,

which is valid for Failed to parse (Missing texvc executable; please see math/README to configure.): |x|<1 , is one of the most important examples of a power series, as are the exponential function formula

Failed to parse (Missing texvc executable; please see math/README to configure.): e^x = \sum_{n=0}^\infty \frac{x^n}{n!} = 1 + x + \frac{x^2}{2!} + \frac{x^3}{3!} + \cdots,

and the sine formula

Failed to parse (Missing texvc executable; please see math/README to configure.): \sin(x) = \sum_{n=0}^\infty \frac{(-1)^n x^{2n+1}}{(2n+1)!} = x - \frac{x^3}{3!} + \frac{x^5}{5!} - \frac{x^7}{7!}+\cdots,

valid for all real x. These power series are also examples of Taylor series.

Negative powers are not permitted in a power series, for instance Failed to parse (Missing texvc executable; please see math/README to configure.): 1 + x^{-1} + x^{-2} + \cdots

is not considered a power series (although it is a Laurent series). Similarly, fractional powers such as Failed to parse (Missing texvc executable; please see math/README to configure.): x^{1/2}

are not permitted (but see Puiseux series).  The coefficients Failed to parse (Missing texvc executable; please see math/README to configure.): a_n
are not allowed to depend on Failed to parse (Missing texvc executable; please see math/README to configure.): x

, thus for instance:

Failed to parse (Missing texvc executable; please see math/README to configure.): \sin(x) x + \sin(2x) x^2 + \sin(3x) x^3 + \cdots \,
is not a power series.

Radius of convergence

A power series will converge for some values of the variable x and may diverge for others. All power series will converge at x = c. There is always a number r with 0 ≤ r ≤ ∞ such that the series converges whenever |xc| < r and diverges whenever |xc| > r. The number r is called the radius of convergence of the power series; in general it is given as

Failed to parse (Missing texvc executable; please see math/README to configure.): r=\liminf_{n\to\infty} \left|a_n\right|^{-\frac{1}{n}}

or, equivalently,

Failed to parse (Missing texvc executable; please see math/README to configure.): r^{-1}=\limsup_{n\to\infty} \left|a_n\right|^{\frac{1}{n}}


(see limit superior and limit inferior). A fast way to compute it is

Failed to parse (Missing texvc executable; please see math/README to configure.): r^{-1}=\lim_{n\to\infty}\left|{a_{n+1}\over a_n}\right|


if this limit exists.

The series converges absolutely for |x - c| < r and converges uniformly on every compact subset of {x : |xc| < r}.

For |x - c| = r, we cannot make any general statement on whether the series converges or diverges. However, Abel's theorem states that the sum of the series is continuous at x if the series converges at x.

Operations on power series

Addition and subtraction

When two functions f and g are decomposed into power series around the same center c, the power series of the sum or difference of the functions can be obtained by termwise addition and subtraction. That is, if:

Failed to parse (Missing texvc executable; please see math/README to configure.): f(x) = \sum_{n=0}^\infty a_n (x-c)^n
Failed to parse (Missing texvc executable; please see math/README to configure.): g(x) = \sum_{n=0}^\infty b_n (x-c)^n

then

Failed to parse (Missing texvc executable; please see math/README to configure.): f(x)\pm g(x) = \sum_{n=0}^\infty (a_n \pm b_n) (x-c)^n


Multiplication and division

With the same definitions above, for the power series of the product and quotient of the functions can be obtained as follows:

Failed to parse (Missing texvc executable; please see math/README to configure.): f(x)g(x) = \left(\sum_{n=0}^\infty a_n (x-c)^n\right)\left(\sum_{n=0}^\infty b_n (x-c)^n\right)


Failed to parse (Missing texvc executable; please see math/README to configure.): = \sum_{i=0}^\infty \sum_{j=0}^\infty a_i b_j (x-c)^{i+j}


Failed to parse (Missing texvc executable; please see math/README to configure.): = \sum_{n=0}^\infty \left(\sum_{i=0}^n a_i b_{n-i}\right) (x-c)^n.


The sequence Failed to parse (Missing texvc executable; please see math/README to configure.): m_n := \sum_{i=0}^n a_i b_{n-i}

is known as the convolution of the sequences Failed to parse (Missing texvc executable; please see math/README to configure.): a_n

and Failed to parse (Missing texvc executable; please see math/README to configure.): b_n .

For division, observe:

Failed to parse (Missing texvc executable; please see math/README to configure.): {f(x)\over g(x)} = {\sum_{n=0}^\infty a_n (x-c)^n\over\sum_{n=0}^\infty b_n (x-c)^n} = \sum_{n=0}^\infty d_n (x-c)^n


Failed to parse (Missing texvc executable; please see math/README to configure.): f(x) = \left(\sum_{n=0}^\infty b_n (x-c)^n\right)\left(\sum_{n=0}^\infty d_n (x-c)^n\right)


and then use the above, comparing coefficients.

Differentiation and integration

Once a function is given as a power series, it is continuous wherever it converges and is differentiable on the interior of this set. It can be differentiated and integrated quite easily, by treating every term separately:

Failed to parse (Missing texvc executable; please see math/README to configure.): f^\prime (x) = \sum_{n=1}^\infty a_n n \left( x-c \right)^{n-1}= \sum_{n=0}^\infty a_{n+1} \left(n+1 \right) \left( x-c \right)^{n}


Failed to parse (Missing texvc executable; please see math/README to configure.): \int f(x)\,dx = \sum_{n=0}^\infty \frac{a_n \left( x-c \right)^{n+1}} {n+1} + k = \sum_{n=1}^\infty \frac{a_{n-1} \left( x-c \right)^{n}} {n} + k.


Both of these series have the same radius of convergence as the original one.

Analytic functions

A function f defined on some open subset U of R or C is called analytic if it is locally given by power series. This means that every aU has an open neighborhood VU, such that there exists a power series with center a which converges to f(x) for every xV.

Every power series with a positive radius of convergence is analytic on the interior of its region of convergence. All holomorphic functions are complex-analytic. Sums and products of analytic functions are analytic, as are quotients as long as the denominator is non-zero.

If a function is analytic, then it is infinitely often differentiable, but in the real case the converse is not generally true. For an analytic function, the coefficients an can be computed as

Failed to parse (Missing texvc executable; please see math/README to configure.): a_n = \frac {f^{\left( n \right)}\left( c \right)} {n!}


where Failed to parse (Missing texvc executable; please see math/README to configure.): f^{(n)}(c)

denotes the nth derivative of f at c, and Failed to parse (Missing texvc executable; please see math/README to configure.): f^{(0)}(c) = f(c)

. This means that every analytic function is locally represented by its Taylor series.

The global form of an analytic function is completely determined by its local behavior in the following sense: if f and g are two analytic functions defined on the same connected open set U, and if there exists an element cU such that f (n)(c) = g (n)(c) for all n ≥ 0, then f(x) = g(x) for all xU.

If a power series with radius of convergence r is given, one can consider analytic continuations of the series, i.e. analytic functions f which are defined on larger sets than { x : |x - c| < r } and agree with the given power series on this set. The number r is maximal in the following sense: there always exists a complex number x with |x - a| = r such that no analytic continuation of the series can be defined at x.

The power series expansion of the inverse function of an analytic function can be determined using the Lagrange inversion theorem.

Formal power series

Main article: Formal power series

In abstract algebra, one attempts to capture the essence of power series without being restricted to the fields of real and complex numbers, and without the need to talk about convergence. This leads to the concept of formal power series, a concept of great utility in algebraic combinatorics.

Power series in several variables

An extension of the theory is necessary for the purposes of multivariable calculus. A power series is here defined to be an infinite series of the form

Failed to parse (Missing texvc executable; please see math/README to configure.): f(x_1,\dots,x_n) = \sum_{j_1,\dots,j_n = 0}^{\infty}a_{j_1,\dots,j_n} \prod_{k=1}^n \left(x_k - c_k \right)^{j_k},


where j = (j1, ..., jn) is a vector of natural numbers, the coefficients a(j1,...,jn) are usually real or complex numbers, and the center c = (c1, ..., cn) and argument x = (x1, ..., xn) are usually real or complex vectors. In the more convenient multi-index notation this can be written

Failed to parse (Missing texvc executable; please see math/README to configure.): f(x) = \sum_{\alpha \in \mathbb{N}^n} a_{\alpha} \left(x - c \right)^{\alpha}.


The theory of such series is trickier than for single-variable series, with more complicated regions of convergence. For instance, the power series Failed to parse (Missing texvc executable; please see math/README to configure.): \sum_{n=0}^\infty x_1^n x_2^n

is absolutely convergent in the set Failed to parse (Missing texvc executable; please see math/README to configure.): \{ (x_1,x_2): |x_1 x_2| < 1\}
between two hyperbolae.  (This is an example of a log-convex set, in the sense that the set of points Failed to parse (Missing texvc executable; please see math/README to configure.): (\log |x_1|, \log |x_2|)

, where Failed to parse (Missing texvc executable; please see math/README to configure.): (x_1,x_2)

lies in the above region, is a convex set.  More generally, one can show that when c=0, the interior of the region of absolute convergence is always a log-convex set in this sense.)  On the other hand, in the interior of this region of convergence one may differentiate and integrate under the series sign, just as one may with ordinary power series.

Order of a power series

Let α be a multi-index for a power series f(x1, x2, …, xn). The order of the power series f is defined to be the least value |α| such that aα ≠ 0, or 0 if f ≡ 0. In particular, for a power series f(x) in a single variable x, the order of f is the smallest power of x with a nonzero coefficient. This definition readily extends to Laurent series.

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