Approximate the integral int (1 - cos x)/x dx using Taylor expansion

In summary, to find an approximation of the integral \int \frac{1 - cos x}{x}dx between the limits 0 and 1, a Taylor expansion for cos x can be used. By substituting the given series for cos x into the integral, the 1's will cancel and the x at the bottom will decrease the power of each x on top by 1. This will result in a simple series that can be integrated term by term to approximate the value of the integral.
  • #1
thenewbosco
187
0
I am supposed to find an approximation of this integral evaluated between the limits 0 and 1 using a taylor expansion for cos x:

[tex]\int \frac{1 - cos x}{x}dx[/tex]

and given

[tex]cos x = 1 - \frac{x^2}{2!} + \frac{x^4}{4!} - \frac{x^6}{6!}...[/tex]

i should get a simple series similar to this for [tex]\frac{1 - cos x}{x}[/tex] and be able to simply integrate each term of the series and evaluate the integral for an approx. how do i find this series?
 
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  • #2
Just sub in the series into the integral instead of cos (x). The 1's will cancel and the x at the bottom will decrease the power of each x on top by 1. Then integrate.
 
  • #3


The Taylor expansion for \frac{1 - cos x}{x} can be found by using the Maclaurin series for cos x and then dividing each term by x. This will give us:

\frac{1 - cos x}{x} = \frac{1 - (1 - \frac{x^2}{2!} + \frac{x^4}{4!} - \frac{x^6}{6!}...)}{x} = \frac{\frac{x^2}{2!} - \frac{x^4}{4!} + \frac{x^6}{6!}...}{x} = \frac{1}{2!} - \frac{x^2}{4!} + \frac{x^4}{6!}...

Now, we can integrate each term of this series and evaluate the integral between the limits 0 and 1. This will give us an approximation of the original integral. The first term, \frac{1}{2!}, will be integrated to give us \frac{x}{2!}. The next term, -\frac{x^2}{4!}, will be integrated to give us -\frac{x^3}{3 \cdot 4!}. Continuing this pattern, we can integrate each term and evaluate the integral to get the following approximation:

\int_0^1 \frac{1 - cos x}{x}dx \approx \frac{1}{2!} - \frac{1}{3 \cdot 4!} + \frac{1}{5 \cdot 6!} - \frac{1}{7 \cdot 8!}...

This series can be simplified further by using the formula for the sum of an infinite geometric series. The final result will be an approximation of the original integral, which can be used to estimate the value of the integral between the given limits. However, it is important to note that this is only an approximation and may not give an exact value of the integral.
 

1. What is the Taylor expansion method used for?

The Taylor expansion method is used to approximate a function by representing it as an infinite sum of simpler functions. It is commonly used in calculus and mathematical analysis to find an approximate solution to an integral or differential equation.

2. How is the Taylor expansion method applied to approximate an integral?

To approximate an integral using the Taylor expansion method, we first express the integrand as a Taylor series. Then, we truncate the series to a finite number of terms and integrate each term separately. Finally, we add up all the integrated terms to get an approximate value for the integral.

3. What is the advantage of using the Taylor expansion method to approximate an integral?

The advantage of using the Taylor expansion method is that it allows us to approximate complex integrals that cannot be solved using traditional methods. It also provides a more accurate result compared to other approximation techniques, especially when a large number of terms are used in the series.

4. Can the Taylor expansion method be used for any type of function?

No, the Taylor expansion method can only be used for functions that are smooth and continuous on the interval of integration. If the function has discontinuities or singularities, the Taylor series may not converge and the approximation will not be accurate.

5. How do we determine the number of terms to use in the Taylor series for a given integral?

The number of terms to use in the Taylor series depends on the desired level of accuracy. Generally, the more terms we use, the more accurate the approximation will be. However, the computation time and complexity also increase with the number of terms, so a balance must be struck depending on the specific problem at hand.

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