Chapter 14: Problem 11
A domain \(D\) in space is given. Parametrize each of the bounding surfaces of \(D\). \(D\) is the domain bounded by \(z=2 y, y=4-x^{2}\) and \(z=0\).
Short Answer
Expert verified
Parametrize the bounding surfaces with \(\mathbf{r}(u, v) = (u, 4 - u^2, v)\) for \(-2 \leq u \leq 2\) and \(0 \leq v \leq 8 - 2u^2\).
Step by step solution
01
Understand the Domain
The domain, \(D\), is bounded by three surfaces: \(z = 2y\), \(y = 4 - x^2\), and \(z = 0\). This suggests a volume under the paraboloid \(y = 4 - x^2\) and above the xy-plane \(z = 0\), with the top surface bounded by \(z = 2y\).
02
Identify the Intersection Curve
To find the boundary of the domain, determine the intersection of the surfaces. Setting \(z=2y\) and \(z=0\), we find that \(2y = 0\), thus \(y = 0\). The curve where \(y = 4 - x^2\) intersects \(z=2y\) is found by substituting \(z = 2y\) and \(y = 4 - x^2\) into \(z = 2(4 - x^2) = 8 - 2x^2\).
03
Parametrize the Surface in xy-plane
To parametrize the surface \(y = 4 - x^2\) in the xy-plane, solve for \(x\) and \(y\). The domain is within \(y = 0\) and \(y = 4 - x^2 = 0\) which implies \(-2 \leq x \leq 2\). Set \(x = u\), where \(-2 \leq u \leq 2\), and \(y = 4 - u^2\).
04
Parametrize the Surface for z-values
The z-values are bounded between \(z = 0\) and \(z = 2y\). Given \(y = 4 - u^2\), it becomes \(z = 0\) to \(z = 2(4-u^2)\). Use \(v\) to sweep \(z\) from top to bottom within these limits: \(z = v\), \(0 \leq v \leq 2(4 - u^2)\).
05
Formulate the Parametrization
The parametrization becomes \(\mathbf{r}(u, v) = (u, 4 - u^2, v)\) for the entire surface with \(-2 \leq u \leq 2\) and \(0 \leq v \leq 8 - 2u^2\).
06
Verify Parametrization
Check if the parametrization adheres to the original surfaces. Substitute back into the equations of the surfaces \(z = 2y\) and \(y = 4 - x^2\) and ensure \(z = 0\) is satisfied within defined limits. The form \(\mathbf{r}(u, v)\) satisfies all boundary conditions.
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Intersection of Surfaces
Understanding how surfaces intersect in space is a pivotal aspect of geometry. In our given problem, we study the intersection of surfaces to understand the domain. The domain is determined by the boundary surfaces: \(z = 2y\), \(y = 4 - x^2\), and \(z = 0\). These surfaces enclose a volume, essentially defining where they meet and form boundaries.
To explore the intersection points, we equate the surfaces. For instance, by setting \(z = 2y\) and \(z = 0\), we find \(2y = 0\), leading to \(y = 0\). Similarly, by intersecting \(y = 4 - x^2\) with \(z = 2y\), we substitute \(y\) and solve for \(z\), confirming \(z = 8 - 2x^2\). This gives us a curve that further shapes the domain in space.
To explore the intersection points, we equate the surfaces. For instance, by setting \(z = 2y\) and \(z = 0\), we find \(2y = 0\), leading to \(y = 0\). Similarly, by intersecting \(y = 4 - x^2\) with \(z = 2y\), we substitute \(y\) and solve for \(z\), confirming \(z = 8 - 2x^2\). This gives us a curve that further shapes the domain in space.
Parametrization in Space
Parametrization is like creating a set of instructions to navigate a surface in space. It helps describe curves and surfaces using variables. In simple terms, we use parameters to trace out a path or surface.
In our scenario, to parametrize the paraboloid \(y = 4 - x^2\) in the \(xy\)-plane, we express both \(x\) and \(y\) in terms of a parameter \(u\). Here, by setting \(x = u\), we span values from \(-2\) to \(2\). For each \(u\), \(y\) is given by the equation \(y = 4 - u^2\). This neatly describes our curve in the \(xy\)-plane.
In our scenario, to parametrize the paraboloid \(y = 4 - x^2\) in the \(xy\)-plane, we express both \(x\) and \(y\) in terms of a parameter \(u\). Here, by setting \(x = u\), we span values from \(-2\) to \(2\). For each \(u\), \(y\) is given by the equation \(y = 4 - u^2\). This neatly describes our curve in the \(xy\)-plane.
Bounding Surfaces
Bounding surfaces are the walls of a domain in space, enclosing a volume. They ensure that every point within a domain is contained between these surfaces.
In this exercise, the bounding surfaces are \(z=0\), which is the lower boundary, and \(z=2y\), which is the upper boundary. Additionally, the shape is constrained by the paraboloid \(y = 4 - x^2\), effectively setting side walls.
Think of it as a room with a floor, a ceiling, and curved walls. The parametrization defines every internal point that stays within the constraints of these surfaces. It ensures there's no escape outside the area confinements as dictated by the equations.
In this exercise, the bounding surfaces are \(z=0\), which is the lower boundary, and \(z=2y\), which is the upper boundary. Additionally, the shape is constrained by the paraboloid \(y = 4 - x^2\), effectively setting side walls.
Think of it as a room with a floor, a ceiling, and curved walls. The parametrization defines every internal point that stays within the constraints of these surfaces. It ensures there's no escape outside the area confinements as dictated by the equations.
Coordinate Systems
Choosing the appropriate coordinate system is crucial in parametrization. It offers a simplified way to handle complex surfaces by rearranging parameters.
In this example, we primarily use the Cartesian system, expressed in terms of \(x\), \(y\), and \(z\). By treating \(x\) as a controllable parameter, \(y\) and \(z\) are modeled according to \(x\)'s choice. We use \(u\) and \(v\) as parameters, relating directly to \(x\) as \(x = u\) and \(z\) as \(z = v\). By doing so, we can represent complex shapes in space clearly and mathematically efficiently.
Mastering the use of coordinate systems streamlines the understanding and application of parametrization techniques to capture the essence of spatial domains.
In this example, we primarily use the Cartesian system, expressed in terms of \(x\), \(y\), and \(z\). By treating \(x\) as a controllable parameter, \(y\) and \(z\) are modeled according to \(x\)'s choice. We use \(u\) and \(v\) as parameters, relating directly to \(x\) as \(x = u\) and \(z\) as \(z = v\). By doing so, we can represent complex shapes in space clearly and mathematically efficiently.
Mastering the use of coordinate systems streamlines the understanding and application of parametrization techniques to capture the essence of spatial domains.