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Evaluate the double integral. $$ \int_{0}^{1} \int_{y}^{2 y}\left(1+2 x^{2}+2 y^{2}\right) d x d y $$

Short Answer

Expert verified
The solution to the double integral is \(\frac{25}{6}\).

Step by step solution

01

Integrate with respect to \(x\)

The first step is to perform the inner integral, which means integrating the function with respect to \(x\) first. The antiderivative of the function \(1 + 2x^2\) with respect to \(x\) is \(x + \frac{2}{3}x^3\). The definite integral from y to 2y is: \( \left. (x + \frac{2}{3}x^3) \right |_{y}^{2y} = 2y + \frac{16}{3}y^3 - (y + \frac{2}{3}y^3) = y + \frac{14}{3}y^3\).
02

Integrate with respect to \(y\)

Next, integrate the resulting function, \(y + \frac{14}{3}y^3 + 2y^2\), with respect to \(y\) from 0 to 1. We will obtain the antiderivative as follows: \(\int_0^1 (y + \frac{14}{3}y^3 + 2y^2)dy = \frac{1}{2}y^2 + \frac{14}{12}y^4 + \frac{2}{3}y^3 |_{0}^{1} = \frac{1}{2} + \frac{14}{12} + \frac{2}{3}\), evaluating the limits yields the final result.
03

Calculate the final answer

The final results from step 2 are real numbers which need to be added together. The answer to the integral is: \(\frac{1}{2} + \frac{14}{12} + \frac{2}{3} = \frac{25}{6}\).

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Most popular questions from this chapter

The global numbers of personal computers \(x\) (in millions) and Internet users \(y\) (in millions) from 1999 through 2005 are shown in the table. $$ \begin{aligned} &\begin{array}{|l|c|c|c|c|} \hline \text { Year } & 1999 & 2000 & 2001 & 2002 \\ \hline \text { Personal computers, } x & 394.1 & 465.4 & 526.7 & 575.5 \\ \hline \text { Internet users, } y & 275.5 & 390.3 & 489.9 & 618.4 \\ \hline \end{array}\\\ &\begin{array}{|l|c|c|c|} \hline \text { Year } & 2003 & 2004 & 2005 \\ \hline \text { Personal computers, } x & 636.6 & 776.6 & 808.7 \\ \hline \text { Internet users, } y & 718.8 & 851.8 & 982.5 \\ \hline \end{array} \end{aligned} $$ (a) Use a graphing utility or a spreadsheet to create a scatter plot of the data. (b) Use the regression capabilities of a graphing utility or a spreadsheet to find an appropriate model for the data. (c) Explain why you chose the type of model that you created in part (b).

Use a double integral to find the area of the region bounded by the graphs of the equations. $$ x y=9, y=x, y=0, x=9 $$

Use the regression capabilities of a graphing utility or a spreadsheet to find the least squares regression quadratic for the given points. Then plot the points and graph the least squares regression quadratic. $$ (-2,0),(-1,0),(0,1),(1,2),(2,5) $$

Plot the points and determine whether the data have positive, negative, or no linear correlation (see figures below). Then use a graphing utility to find the value of \(r\) and confirm your result. The number \(r\) is called the correlation coefficient. It is a measure of how well the model fits the data. Correlation coefficients vary between \(-1\) and 1, and the closer \(|r|\) is to 1, the better the model. $$ (1,4),(2,6),(3,8),(4,11),(5,13),(6,15) $$

Use the regression capabilities of \(a\) graphing utility or a spreadsheet to find any model that best fits the data points. $$ (0,0.5),(1,7.6),(3,60),(4.2,117),(5,170),(7.9,380) $$

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