Difference between revisions of "Taylor series"
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<math>f(x)=f(x_0)+(x-x_0)\frac{df(x_0)}{dx}+\frac{(x-x_0)^2}{2!}\frac{d^2f(x_0)}{dx^2}+\ldots+\frac{(x-x_0)^N}{N!}\frac{d^Nf(x_0)}{dx^N}</math> | <math>f(x)=f(x_0)+(x-x_0)\frac{df(x_0)}{dx}+\frac{(x-x_0)^2}{2!}\frac{d^2f(x_0)}{dx^2}+\ldots+\frac{(x-x_0)^N}{N!}\frac{d^Nf(x_0)}{dx^N}</math> | ||
| − | where each of the derivatives is to be evaluated at <math>x=x_0</math>. If as <math>N\rightarrow\infty</math> the series converges, then it is exact. Otherwise, it can be used as an approximation. Often, Taylor series are performed around <math>x_0=0</math>, in which case they are sometimes also known as a [[Maclaurin series]]. | + | where each of the derivatives is to be evaluated at <math>x=x_0</math>. If as <math>N\rightarrow\infty</math> the [[series (mathematics)|series]] converges, then it is exact. Otherwise, it can be used as an approximation. Often, Taylor series are performed around <math>x_0=0</math>, in which case they are sometimes also known as a [[Maclaurin series]]. |
===Examples of common Taylor series=== | ===Examples of common Taylor series=== | ||
Revision as of 01:16, June 21, 2008
The Taylor series of a function is useful for approximating a mathematical function near to some particular point. For a function , the Taylor series about the point is
where each of the derivatives is to be evaluated at . If as the series converges, then it is exact. Otherwise, it can be used as an approximation. Often, Taylor series are performed around , in which case they are sometimes also known as a Maclaurin series.
Examples of common Taylor series
Extensions of the Exponential Function
Consider the exponential of imaginary number ,
By the power laws then all complex numbers have an exponential,
.