/*! 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 28 The tangent plane at a point \(P... [FREE SOLUTION] | 91Ó°ÊÓ

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The tangent plane at a point \(P_{0}\left(f\left(u_{0}, v_{0}\right), g\left(u_{0}, v_{0}\right), h\left(u_{0}, v_{0}\right)\right)\) on a parametrized surface \(\mathbf{r}(u, v)=f(u, v) \mathbf{i}+g(u, v) \mathbf{j}+h(u, v) \mathbf{k}\) is the plane through \(P_{0}\) normal to the vector \(\mathbf{r}_{u}\left(u_{0}, v_{0}\right) \times \mathbf{r}_{v}\left(u_{0}, v_{0}\right),\) the cross product of the tangent vectors \(\mathbf{r}_{u}\left(u_{0}, v_{0}\right)\) and \(\mathbf{r}_{v}\left(u_{0}, v_{0}\right)\) at \(P_{0} .\) In Exercises \(27-30,\) find an equation for the plane tangent to the surface at \(P_{0} .\) Then find a Cartesian equation for the surface and sketch the surface and tangent plane together. $$ \begin{array}{l}{\text { Hemisphere } \quad \text { The hemisphere surface } \mathbf{r}(\phi, \theta)=(4 \sin \phi \cos \theta) \mathbf{i}} \\ {+(4 \sin \phi \sin \theta) \mathbf{j}+(4 \cos \phi) \mathbf{k}, 0 \leq \phi \leq \pi / 2,0 \leq \theta \leq 2 \pi} \\ {\text { at the point } P_{0}(\sqrt{2}, \sqrt{2}, 2 \sqrt{3}) \text { corresponding to }(\phi, \theta)=} \\ {(\pi / 6, \pi / 4)}\end{array} $$

Short Answer

Expert verified
The tangent plane equation is \( 4\sqrt{3}x + 4\sqrt{3}y + 8z = 16 \).

Step by step solution

01

Find the Tangent Vectors

First, find the tangent vectors \( \mathbf{r}_\phi \) and \( \mathbf{r}_\theta \) of the surface by differentiating \( \mathbf{r}(\phi, \theta) \) with respect to \( \phi \) and \( \theta \), respectively. Compute:\[ \mathbf{r}_\phi (\phi, \theta) = \frac{\partial \mathbf{r}}{\partial \phi} = (4 \cos \phi \cos \theta) \mathbf{i} + (4 \cos \phi \sin \theta) \mathbf{j} - (4 \sin \phi) \mathbf{k} \]\[ \mathbf{r}_\theta (\phi, \theta) = \frac{\partial \mathbf{r}}{\partial \theta} = (-4 \sin \phi \sin \theta) \mathbf{i} + (4 \sin \phi \cos \theta) \mathbf{j} \]
02

Calculate the Normal Vector

Find the normal vector to the plane by taking the cross product of the tangent vectors \( \mathbf{r}_\phi \) and \( \mathbf{r}_\theta \) at the point \((\phi, \theta) = (\pi/6, \pi/4)\). Substitute and compute:\[ \mathbf{r}_\phi (\pi/6, \pi/4) = (2 \sqrt{2}) \mathbf{i} + (2 \sqrt{2}) \mathbf{j} - 2 \mathbf{k} \]\[ \mathbf{r}_\theta (\pi/6, \pi/4) = (-2 \sqrt{2}) \mathbf{i} + 2 \sqrt{2} \mathbf{j} \]Cross product yields:\[ \mathbf{n} = \mathbf{r}_\phi \times \mathbf{r}_\theta = (4 \sqrt{3}) \mathbf{i} + (4 \sqrt{3}) \mathbf{j} + (8) \mathbf{k} \]
03

Equation of the Tangent Plane

With the normal vector \( \mathbf{n} = (4 \sqrt{3}, 4 \sqrt{3}, 8) \), the equation of the tangent plane at point \( P_0(\sqrt{2}, \sqrt{2}, 2\sqrt{3}) \) is given by:\[ 4 \sqrt{3} (x - \sqrt{2}) + 4 \sqrt{3} (y - \sqrt{2}) + 8 (z - 2\sqrt{3}) = 0 \]Simplify this equation:\[ 4\sqrt{3}x + 4\sqrt{3}y + 8z = 16 \]
04

Find Cartesian Equation of the Hemisphere

To find the Cartesian equation, recognize that the surface is the hemisphere of radius 4. For a full sphere, \( x^2 + y^2 + z^2 = 16 \). For a hemisphere, considering \( z \geq 0 \), the equation becomes:\[ x^2 + y^2 + z^2 = 16 \] with \( z \geq 0 \).
05

Sketch the Surface and Tangent Plane

Draw the hemisphere with the center at the origin and radius 4. The tangent plane is a flat plane touching the hemisphere at \( (\sqrt{2}, \sqrt{2}, 2\sqrt{3}) \). This point lies on the hemisphere and satisfies the tangent plane equation. The plane forms a flat surface that is tangent (just touches) the outer surface of the hemisphere.

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Key Concepts

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

Parametrized Surface
A parametrized surface is a mathematical representation of a surface using two parameters, often denoted as \(u\) and \(v\). It is expressed as a vector function \( \mathbf{r}(u, v) \) that describes every point on the surface in three-dimensional space.
  • The function \( \mathbf{r}(u, v) = f(u, v) \mathbf{i} + g(u, v) \mathbf{j} + h(u, v) \mathbf{k} \) involves three coordinate functions: \( f(u, v) \), \( g(u, v) \), and \( h(u, v) \).
  • These functions produce the \(x\), \(y\), and \(z\) coordinates, allowing for a smooth transition across the surface.
To deal with surfaces more intuitively, think of these parameters as analogous to latitude and longitude on Earth. They provide a grid-like structure that accurately pins down every point on the surface, offering a clear picture of its topology.
Hemisphere Surface
A hemisphere is half of a sphere, specifically taking its cut along the great circle. In this context, the surface is parameterized in terms of spherical coordinates.
  • The spherical coordinates \( \phi \) and \( \theta \) act as our parameters, where \( \phi \) ranges from 0 to \( \pi/2 \) to cover the top half, and \( \theta \) circles the equator from 0 to \( 2\pi \).
  • The parameterization is \( \mathbf{r}(\phi, \theta) = (4 \sin \phi \cos \theta) \mathbf{i} + (4 \sin \phi \sin \theta) \mathbf{j} + (4 \cos \phi) \mathbf{k} \).
This parameterization is useful because it is akin to peeling an orange, laying its peel flat; each point on the hemisphere maps to a unique (\( \phi \), \( \theta \)) pair, allowing easy description and manipulation of the surface.
Cross Product
The cross product is a crucial operation when dealing with vectors in 3D space. It takes two vectors and produces another vector, orthogonal to both.
  • To find the cross product, you need to arrange the components of the vectors in a determinant involving unit vectors \( \mathbf{i} \), \( \mathbf{j} \), and \( \mathbf{k} \).
  • For vectors \( \mathbf{A} = a_1 \mathbf{i} + a_2 \mathbf{j} + a_3 \mathbf{k} \) and \( \mathbf{B} = b_1 \mathbf{i} + b_2 \mathbf{j} + b_3 \mathbf{k} \), the cross product \( \mathbf{A} \times \mathbf{B} \) is calculated as follows:\[\begin{vmatrix} \mathbf{i} & \mathbf{j} & \mathbf{k} \ a_1 & a_2 & a_3 \ b_1 & b_2 & b_3\end{vmatrix}\]
  • It results in a new vector which helps describe planes and surfaces.
The property of orthogonality proves beneficial when determining vectors normal to surfaces, making cross products indispensable in 3D geometry and physics.
Normal Vector
A normal vector is a vector that is perpendicular to a surface at a given point. This concept is pivotal during analysis of tangent planes.
  • For a surface described by \( \mathbf{r}(u, v) \), the normal vector at a point can be found using the cross product of the partial derivatives: \( \mathbf{r}_u \) and \( \mathbf{r}_v \).
  • Considering our hemisphere, these derivatives \( \mathbf{r}_\phi \) and \( \mathbf{r}_\theta \) are computed first, and then \( \mathbf{r}_\phi \times \mathbf{r}_\theta \) gives the normal vector at the point.
The normal vector plays a critical role in equations of tangent planes because it defines the plane's orientation in space. At the hemispheric application point \( P_0(\sqrt{2}, \sqrt{2}, 2\sqrt{3}) \), it ensures that the tangent plane just skims the surface without cutting through it.

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Most popular questions from this chapter

\begin{equation} \begin{array}{c}{\text { a. Exact differential form How are the constants } a, b, \text { and } c} \\ {\text { related if the following differential form is exact? }} \\ {\left(a y^{2}+2 c z x\right) d x+y(b x+c z) d y+\left(a y^{2}+c x^{2}\right) d z} \\ {\text { b. Gradient field For what values of } b \text { and } c \text { will }} \\ {\mathbf{F}=\left(y^{2}+2 c z x\right) \mathbf{i}+y(b x+c z) \mathbf{j}+\left(y^{2}+c x^{2}\right) \mathbf{k}} \\\ {\text { be a gradient field? }}\end{array} \end{equation}

Outward flux of a gradient field Let \(S\) be the surface of the portion of the solid sphere \(x^{2}+y^{2}+z^{2} \leq a^{2}\) that lies in the first octant and let \(f(x, y, z)=\ln \sqrt{x^{2}+y^{2}}+z^{2}\) . Calculate $$\iint_{S} \nabla f \cdot \mathbf{n} d \sigma$$ \((\nabla f \cdot \mathbf{n}\) is the derivative of \(f\) in the direction of outward normal \(\mathbf{n} .)\)

Let \(\mathbf{F}\) be a field whose components have continuous first partial derivatives throughout a portion of space containing a region \(D\) bounded by a smooth closed surface \(S .\) If \(|\mathbf{F}| \leq 1,\) can any bound be placed on the size of $$\iiint_{D} \nabla \cdot \mathbf{F} d V ?$$ Give reasons for your answer.

A revealing experiment By experiment, you find that a force field \(\mathbf{F}\) performs only half as much work in moving an object along path \(C_{1}\) from \(A\) to \(B\) as it does in moving the object along path \(C_{2}\) from \(A\) to \(B\) . What can you conclude about \(\mathbf{F}\) ? Give reasons for your answer.

Work along different paths Find the work done by \(\mathbf{F}=\) \(e^{y z} \mathbf{i}+\left(x z e^{y z}+z \cos y\right) \mathbf{j}+\left(x y e^{y z}+\sin y\right) \mathbf{k}\) over the following paths from \((1,0,1)\) to \((1, \pi / 2,0)\). \begin{equation}\text { a. The line segment }x=1, y=\pi t / 2, z=1-t, 0 \leq t \leq 1\end{equation} \begin{equation}\begin{array}{l}{\text { b. The line segment from }(1,0,1) \text { to the origin followed by the }} \\ {\text { line segment from the origin to }(1, \pi / 2,0)}\\\\{\text { c. The line segment from }(1,0,1) \text { to }(1,0,0), \text { followed by the }} \\ {x \text { -axis from }(1,0,0) \text { to the origin, followed by the parabola }} \\ {y=\pi x^{2} / 2, z=0 \text { from there to }(1, \pi / 2,0)}\end{array}\end{equation}

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