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Find the maxima: 1 possible area for a rectangle inscribed in the ellipse \(16 x^{2}+9 y^{2}=144\).

Short Answer

Expert verified
The maximum area of the rectangle is achieved at the critical point found in Step 5. Substituting this \(x\) value into the area function will yield the maximum possible area for the rectangle inscribed in the ellipse.

Step by step solution

01

Identify variables for the rectangle's length and width

Consider one side of the rectangle along the x-axis and the other side along the y-axis. In terms of a rectangle inscribed in the ellipse, the lengths of half of its sides (measured from the origin) are \(x\) and \(y\) respectively. Thus, the area of the rectangle can be represented by \(2xy\).
02

Express y in terms of x

Using the equation of the ellipse \(16x^{2} + 9y^{2} = 144\), express \(y\) in terms of \(x\) by rearranging the equation to: \(y = \sqrt{(144 - 16x^{2})/9}\).
03

Substitute y into the Area function

Substitute \(y\) from step 2 into the area function. You get a function of area in terms of \(x\), which is \(2x \cdot \sqrt{(144 - 16x^{2})/9}\).
04

Differentiate Area function

Differentiate the area function with respect to \(x\), this will give us a function to set equal to 0 in order to find the critical point that maximizes area. Using chain rule, the derivative of the area function, \(A'(x)\), is calculated as \(\frac{2 \cdot \sqrt{144 - 16x^{2}}}{9} - \frac{4x^{2} \cdot \sqrt{144 - 16x^{2}}}{(144 - 16x^{2})^{3/2}}\).
05

Find critical point

To find the maximum value, set the derivative of the area function, \(A'(x)\), equal to zero and solve for \(x\). This will be the x-coordinate of the rectangle vertex where maximum area occurs.
06

Validate critical point

Substitute the value of \(x\) obtained in step 5 into the area function to get the corresponding maximum rectangle area.

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Key Concepts

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

Calculus
Calculus is a branch of mathematics focused on limits, functions, derivatives, integrals, and infinite series. This field forms the basis for much of modern mathematics and is applicable in various disciplines, including science and engineering.

Understanding calculus is vital for solving many real-world problems, including those involving rates of change and accumulation. For example, when considering the shape of an ellipse or the area of an inscribed rectangle, calculus helps us determine the maximum or minimum values of these geometric forms by employing differentiation and integration techniques.
Optimization Problems
Optimization problems are mathematical questions concerned with finding the best solution from a set of feasible alternatives. These problems often involve determining the maximum or minimum values of a function within a given domain.

In the context of calculus, optimization problems usually require finding local maxima or minima of a function, which correspond to the highest or lowest points in a particular range. The solution involves differentiating the function, determining the critical points, and evaluating these points to ascertain whether they are maxima or minima. The process of finding the largest possible area of a rectangle inscribed in an ellipse is an excellent example of an optimization problem.
Ellipse
An ellipse is a curve on a plane surrounding two focal points in such a way that the sum of the distances to the points (foci) from any point on the curve is constant. Ellipses are the closed type of conic sections, shapes that can be formed by intersecting a cone with a plane.

In the case of our optimization problem, the equation of an ellipse standard form is \(\frac{x^2}{a^2} + \frac{y^2}{b^2} = 1\), where \(a\) and \(b\) are the semi-major and semi-minor axes. The given equation \(16x^{2}+9y^{2}=144\) can be simplified to fit this form, which is essential for understanding how to inscribe a rectangle within it and further solve for its area.
Differentiation
Differentiation is the process of finding the derivative of a function. It measures how a function changes as its input changes. Loosely speaking, a derivative can be seen as how much the function 'wiggles' or 'slopes' at a certain point.

The derivative is pivotal in solving optimization problems because it can help find the function's extremes. In our inscribed rectangle problem, differentiation is used to determine the point where the area of the rectangle is maximized. This involves taking the derivative of the area function with respect to \(x\) and finding where this derivative equals zero, which signifies the potential locations of maxima or minima.

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