Problem 60
Question
Use series to approximate the definite integral to within the indicated accuracy. \( \int^{0.5}_0 x^2 e^{-x^{2}} dx \) \( \left( \mid \text {error} \mid < 0.001 \right) \)
Step-by-Step Solution
Verified Answer
Approximate integral is 0.01795, with error < 0.001.
1Step 1: Express the Function as a Series
The given function is the product of \( x^2 \) and \( e^{-x^2} \). We start by expressing \( e^{-x^2} \) as a power series. The exponential function \( e^{-x^2} \) can be expanded using Taylor series:\[e^{-x^2} = 1 - x^2 + \frac{(x^2)^2}{2!} - \frac{(x^2)^3}{3!} + \cdots.\]
2Step 2: Multiply Series by \(x^2\)
To approximate the integral of \( x^2 e^{-x^2} \), multiply each term of the series \( e^{-x^2} \) by \( x^2 \):\[x^2 e^{-x^2} = x^2 \left(1 - x^2 + \frac{x^4}{2} - \frac{x^6}{6} + \cdots\right) = x^2 - x^4 + \frac{x^6}{2} - \frac{x^8}{6} + \cdots.\]
3Step 3: Integrate Term by Term Over \([0, 0.5]\)
Integrate each term individually from 0 to 0.5:\[\int_0^{0.5} x^2 \: dx = \frac{x^3}{3}\Bigg|_0^{0.5} = \frac{0.5^3}{3} - 0 = \frac{1}{24},\]\[\int_0^{0.5} x^4 \: dx = \frac{x^5}{5}\Bigg|_0^{0.5} = \frac{0.5^5}{5} - 0 = \frac{1}{320},\]\[\int_0^{0.5} \frac{x^6}{2} \: dx = \frac{x^7}{14}\Bigg|_0^{0.5} = \frac{0.5^7}{14} - 0 = \frac{1}{3584},\]\[\int_0^{0.5} \frac{x^8}{6} \: dx = \frac{x^9}{54}\Bigg|_0^{0.5} = \frac{0.5^9}{54} - 0 = \frac{1}{55296}.\]
4Step 4: Sum the Integrated Series
Add the results of the integration up to the point where the error is less than 0.001:\[\int_0^{0.5} x^2 e^{-x^2} \: dx \approx \left(\frac{1}{24} - \frac{1}{320} + \frac{1}{3584} - \cdots\right).\] Calculate the sum up until the absolute value of the terms becomes smaller than the desired error threshold of 0.001:\[\frac{1}{24} - \frac{1}{320} + \frac{1}{3584} \approx 0.0208 - 0.003125 + 0.000279 = 0.017954.\]
5Step 5: Verify the Error
Calculate the next term \( \int_0^{0.5} \frac{x^8}{6} \: dx \), which is \( \frac{1}{55296} \approx 0.000018 \), smaller than 0.001. Hence, stopping after the \( x^6 \) term gives a sufficient approximation.
Key Concepts
Taylor SeriesDefinite IntegralError EstimationPower Series Expansion
Taylor Series
The Taylor Series is a powerful mathematical tool that allows us to approximate complex functions using polynomials. This is particularly useful when the function itself is challenging to work with directly. In this exercise, we're dealing with the exponential function \(e^{-x^2}\). By expanding \(e^{-x^2}\) into a Taylor series around 0, we can express it as:
- \( e^{-x^2} = 1 - x^2 + \frac{(x^2)^2}{2!} - \frac{(x^2)^3}{3!} + \cdots \)
Definite Integral
A definite integral calculates the area under a curve within a specified range, offering a numerical understanding of the function over the interval. In our problem, we're looking at the integral
- \( \int_0^{0.5} x^2 e^{-x^2} \, dx \)
Error Estimation
Error estimation is crucial when using series approximations to ensure the result falls within the desired accuracy. For this exercise, the condition is:
- \(| \text{error} | < 0.001\)
Power Series Expansion
The power series expansion is transformed from a function into an infinite series. This exercise showcases that using a power series expansion facilitates computing definite integrals of complex functions like \(x^2 e^{-x^2}\). The expansion leads to a series of simpler polynomial terms:
- \(x^2 e^{-x^2} = x^2 - x^4 + \frac{x^6}{2} - \frac{x^8}{6} + \cdots \)
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