In mathematics, a series expansion is a technique that expresses a function as an infinite sum, or series, of simpler functions. It is a method for calculating a function that cannot be expressed by just elementary operators (addition, subtraction, multiplication and division).[1]
The resulting so-called series often can be limited to a finite number of terms, thus yielding an approximation of the function. The fewer terms of the sequence are used, the simpler this approximation will be. Often, the resulting inaccuracy (i.e., the partial sum of the omitted terms) can be described by an equation involving Big O notation (see also asymptotic expansion). The series expansion on an open interval will also be an approximation for non-analytic functions.[2][verification needed]
Types of series expansions
There are several kinds of series expansions, listed below.
Taylor series
A Taylor series is a power series based on a function's derivatives at a single point.[3] More specifically, if a function is infinitely differentiable around a point , then the Taylor series of f around this point is given by
A Laurent series is a generalization of the Taylor series, allowing terms with negative exponents; it takes the form and converges in an annulus.[6] In particular, a Laurent series can be used to examine the behavior of a complex function near a singularity by considering the series expansion on an annulus centered at the singularity.
A Fourier series is an expansion of periodic functions as a sum of many sine and cosine functions.[8] More specifically, the Fourier series of a function of period is given by the expressionwhere the coefficients are given by the formulae[8][9]
^ abEdwards, C. Henry; Penney, David E. (2008). Elementary Differential Equations with Boundary Value Problems. Pearson/Prentice Hall. p. 196. ISBN978-0-13-600613-8.
^Weisstein, Eric W. "Maclaurin Series". mathworld.wolfram.com. Retrieved 2022-03-22.
^Edwards, C. Henry; Penney, David E. (2008). Elementary Differential Equations with Boundary Value Problems. Pearson/Prentice Hall. pp. 558, 564. ISBN978-0-13-600613-8.