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In the preceding section, we defined Taylor series and showed how to find the Taylor series for several common functions by explicitly calculating the coefficients of the Taylor polynomials. In this section we show how to use those Taylor series to derive Taylor series for other functions. We then present two common applications of power series. First, we show how power series can be used to solve differential equations. Second, we show how power series can be used to evaluate integrals when the antiderivative of the integrand cannot be expressed in terms of elementary functions. In one example, we consider an integral that arises frequently in probability theory.
Our first goal in this section is to determine the Maclaurin series for the function for all real numbers The Maclaurin series for this function is known as the binomial series . We begin by considering the simplest case: is a nonnegative integer. We recall that, for can be written as
The expressions on the right-hand side are known as binomial expansions and the coefficients are known as binomial coefficients. More generally, for any nonnegative integer the binomial coefficient of in the binomial expansion of is given by
and
For example, using this formula for we see that
We now consider the case when the exponent is any real number, not necessarily a nonnegative integer. If is not a nonnegative integer, then cannot be written as a finite polynomial. However, we can find a power series for Specifically, we look for the Maclaurin series for To do this, we find the derivatives of and evaluate them at
We conclude that the coefficients in the binomial series are given by
We note that if is a nonnegative integer, then the derivative is the zero function, and the series terminates. In addition, if is a nonnegative integer, then [link] for the coefficients agrees with [link] for the coefficients, and the formula for the binomial series agrees with [link] for the finite binomial expansion. More generally, to denote the binomial coefficients for any real number we define
With this notation, we can write the binomial series for as
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