/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 17 (a) Let \(f(x, y)=x^{2}+y,\) and... [FREE SOLUTION] | 91Ó°ÊÓ

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(a) Let \(f(x, y)=x^{2}+y,\) and as shown in the accompanying figure, let the rectangle \(R=[0,2] \times[0,2]\) be subdivided into 16 subrectangles. Take \(\left(x_{k}^{*}, y_{k}^{*}\right)\) to be the center of the \(k\) th rectangle, and approximate the double integral of \(f\) over \(R\) by the resulting Riemann sum. (b) Compare the result in part (a) to the exact value of the integral.

Short Answer

Expert verified
The Riemann sum approximates the integral over the rectangle, which compared to the exact integral value, shows the accuracy of the approximation.

Step by step solution

01

Understand the Problem

We are given a function \( f(x, y) = x^2 + y \) and a rectangle \( R = [0, 2] \times [0, 2] \), which means we need to integrate this function over the area of the rectangle. Specifically, we'll use a Riemann sum to approximate this integral by dividing \( R \) into smaller rectangles and evaluating \( f \) at each subrectangle's center.
02

Subdivide the Rectangle

The rectangle \( R \) is divided into 16 smaller rectangles. Since \( R \) is a 2 by 2 rectangle, each subrectangle has dimensions \( 0.5 \times 0.5 \). So, the grid points for \( x \) and \( y \) are \( 0, 0.5, 1, 1.5, 2 \), and the centers \( (x_k^*, y_k^*) \) for each subrectangle are \( (0.25, 0.25), (0.75, 0.25), ..., (1.75, 1.75) \).
03

Evaluate Function at Centers

Calculate \( f(x_k^*, y_k^*) = (x_k^*)^2 + y_k^* \) for each center. For example, at the center \( (0.25, 0.25) \), we find \( f(0.25, 0.25) = 0.25^2 + 0.25 = 0.3125 \). Repeat for all 16 centers.
04

Calculate the Riemann Sum

The Riemann sum is computed by summing up these function values and multiplying by the area of each subrectangle, which is \( 0.5 \times 0.5 = 0.25 \). So, the sum is \( \sum_{k=1}^{16} f(x_k^*, y_k^*) \times 0.25 \). After calculating each \( f(x_k^*, y_k^*) \), sum them and multiply by \( 0.25 \).
05

Compute the Exact Integral

Now, compute the exact integral over \( R \): \[ \int_0^2 \int_0^2 (x^2 + y) \, dy \, dx \]. First, integrate with respect to \( y \), resulting in \( \frac{y^2}{2} + xy \) evaluated from 0 to 2, then integrate the resulting expression with respect to \( x \) from 0 to 2.
06

Compare Riemann Sum with Exact Integral

After calculating both the Riemann sum and actual integral, compare the values. The exact value will provide a reference to the approximation given by the sum.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Double Integral
A double integral is a crucial concept to understand when working with functions of two variables, as it allows us to calculate the volume under a surface defined by the function over a specified region. In this problem, we examine the double integral of the function \[ f(x, y) = x^2 + y \] over the rectangle \( R = [0,2] \times [0,2] \). Double integrals extend the idea of an integral from one dimension to two dimensions. They are represented as: \[ \int \int_R f(x, y) \, dA \] where \( dA \) is the differential area element. The key is to compute the integral first over \( y \) and then over \( x \), or vice versa, depending on the function. This concept helps in assessing not just areas, but volumes as well, given we are integrating over two dimensions.
Subdividing Rectangles
To compute a Riemann sum, we first need to subdivide our region of integration into smaller rectangles. In this problem, the rectangle \( R = [0, 2] \times [0, 2] \) is divided into 16 smaller rectangles. Each of these subrectangles has dimensions \( 0.5 \times 0.5 \). This systematic subdivision helps make the approximation more precise. The points at which we evaluate the function (centers of each rectangle) are
  • \( (0.25, 0.25) \)
  • \( (0.75, 0.25) \)
  • \( \ldots \)
  • \( (1.75, 1.75) \)
Subdividing the rectangle makes it easier to sum up small approximations over the entire area.
Function Evaluation
Once we have subdivided the rectangle, the next step is to evaluate our given function at the center of each smaller rectangle. This is crucial for calculating the Riemann sum. For center \((0.25, 0.25)\), the function evaluates as follows:\[ f(0.25, 0.25) = (0.25)^2 + 0.25 = 0.3125 \] This evaluation allows us to approximate the area under the curve over our rectangle. We repeat this evaluation for each of the 16 centers. Completing these evaluations for each center helps to build the Riemann sum, which is the cumulative total of these individual pieces.
Exact Integration
The exact integration of a function provides a precise value of the double integral over the given region. Here, we want to compute the exact double integral of \[ f(x, y) = x^2 + y \] over the rectangle \( R \). This is done stepwise, integrating with respect to \( y \) first and then \( x \): \[ \int_0^2 \left( \int_0^2 (x^2 + y) \, dy \right) \, dx \] You first integrate \( \frac{y^2}{2} + xy \) from 0 to 2 for \( y \), and then integrate the resulting expression from 0 to 2 for \( x \). This process gives the exact volume under the surface. Comparing this result to the Riemann sum helps assess the accuracy of our approximation.

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