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Planes in Space
This section expects students to have familiarity with the notation and operations of vectors from .
Planes in Space
This section expects students to have familiarity with the notation and operations of vectors from . We also would like to point to our earlier description of flat objects in space to motivate the difference between lines and planes as our flat objects. The examples and activities in this section are selected to highlight the broad range of ways that information about a plane can be given, including talking about parallel planes, the interaction between equations of planes and lines, and the angle between planes.
This section can be covered in a longer class period alongside Planes. Many exercises in this section include taking information from planes to get information about a related line and vice versa, so you may want to select work from the sections on lines and planes together.
Introduction
In , we saw how to describe a line in \(\R^n\) by setting an initial point and allowing unrestricted movement in a direction given by a direction vector. In this section's Preview Activity, we will be looking at what happens when we allow only movement that is perpendicular to a given direction. Since we will specify the given direction by a vector, we will find the perpendicular directions using orthogonal vectors.
Exploration
We will consider what happens when we allow movement in \(\R^3\) with the restriction that the movement must be orthogonal to \(\vv=\langle 1,2,3 \rangle\).
Find values for \(a_0\) and \(b_0\) such that \(\langle 0,a_0,b_0 \rangle\) is orthogonal to \(\langle 1,2,3\rangle\).
Find values for \(c_0\) and \(d_0\) such that \(\langle c_0,d_0,0 \rangle\) is orthogonal to \(\langle 1,2,3\rangle\).
Find values for \(c_1\) and \(d_1\) such that \(\langle c_1,d_1,1 \rangle\) is orthogonal to \(\langle 1,2,3\rangle\).
Find two other values for each of \(c\) and \(d\) such that \(\langle c,d,1 \rangle\) is orthogonal to \(\langle 1,2,3\rangle\).
Verify that each of the following vectors is also orthogonal to \(\langle 1,2,3 \rangle\).
- \(\langle -2,-2,2 \rangle\)
- \(\langle c_0,a_0+d_0,b_0 \rangle\)
- \(\langle -2c_1,a_0-2d_1,b_0-2 \rangle\)
Put all of the vectors you have computed into the interactive below to visually verify that each of them is orthogonal to \(\langle 1,2,3 \rangle\). You should put the component values of each vector into this array with each vector corresponding to a row. If you do not have eight distinct vectors from the previous parts, multiply one of your repeated vectors by \(-1\) and enter that instead of entering a vector multiple times.
Describe what you think the plot of the set of vectors that are orthogonal to \(\langle 1,2,3 \rangle\) will look like.
Planes in Space
Now that we have a way of describing lines, we would like to develop a means of describing planes in three dimensions. In Section, we studied the coordinate planes and planes parallel to them. In particular, \(x=1\), \(y=-2\), and \(z=\sqrt{3}\) are examples of fundamental planes. In general, the equations of fundamental planes have the form \(coordinate = constant\).
As shown in , any vector in a plane with \(x= \text{constant}\) will be orthogonal to the vector \(\langle 1,0,0 \rangle\), any vector in a plane with \(y= \text{constant}\) will be orthogonal to the vector \(\langle 0,1,0 \rangle\), and any vector in a plane with \(z= \text{constant}\) will be orthogonal to the vector \(\langle 0,0,1 \rangle\). We will use this idea to define a plane in general.
Like the definition of a line, the definition of a plane given above uses a starting point and a vector as the critical pieces of information. For a line, you begin at the starting point and move as much as you want parallel to the given vector (the direction vector). For a plane, you begin at the starting point and move as much as you want orthogonal to the given vector (the normal vector). For a line, you move only in the direction of the given vector whereas on a plane you cannot move at all in the direction of the given vector.
This description of a plane allows us to find the equation of a plane. Assume that \(\vn=\langle a,b,c\rangle\), \(P_0 = (x_0, y_0, z_0)\), and that \(Q=(x,y,z)\) is an arbitrary point on the plane. Since the vector \(\overrightarrow{P_0 Q}\) lies in the plane, it must be perpendicular to \(\vn\). This means that \[\begin{aligned}0 =\mathstrut \amp \vn\cdot\overrightarrow{P_0 Q} \\ =\mathstrut \amp \vn\cdot \big(\langle x,y,z \rangle - \langle x_0, y_0, z_0\rangle\big) \\ =\mathstrut \amp \vn \cdot \langle x-x_0, y-y_0, z-z_0 \rangle \\ =\mathstrut \amp a(x-x_0) + b(y-y_0) + c(z-z_0).\end{aligned}\]
We may now summarize our new equation for a plane.
The scalar equation of the plane with normal vector \(\vn =\langle a,b,c \rangle\) containing the point \(P_0 = (x_0, y_0, z_0)\) is \[\begin{aligned}\end{aligned}\].
The vector equation of the plane with normal vector \(\vn =\langle a,b,c \rangle\) containing the points \(P_0 = (x_0, y_0, z_0)\) and \(Q = (x,y,z)\) is \[\begin{aligned}\end{aligned}\].
Condensed: the full section is in Boelkins et al., Active Calculus Multivariable.
이제 너 계산기는 이것을 해결하지 않지만, 그 조각은 계산 가능합니다. 아래의 하나를 시도하거나 자신의 것을 입력하십시오.
연습 (1)
먼저 종이에 각각을 시도해 보세요. 확인하기 위해 답을 드러내세요. 확인된 답은 각 단계의 솔버에서 열 수 있습니다.
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Find an equation for the plane that contains both of the lines described in .
답을 드러내세요
Find the normal vector to the two direction vectors. \(\vu \times \vv = ((1)(5) - (3)(1))\vi - ((-2)(5) - (3)(-2))\vj + ((-2)(1) - (-2)(1))\vk = \langle 2, 4, 0 \rangle\). Use either \((4, -2, 1)\) or \((-4, 2, 17)\) and \(\langle 2, 4, 0 \rangle\) to write the scalar equation of the plane \(2(x + 4) + 4(y - 2) + 0(z - 17) = 2(x + 4) + 4(y - 2) = 0\) or \(2(x - 4) + 4(y + 2) + 0(z - 1) = 2(x - 4) + 4(y + 2) = 0\)
여기서 사용된 기호
기호를 탭하면 전체 정의, 이미지 및 각 문자의 의미를 확인할 수 있습니다.
어떻게: Planes in Space
- How is a plane defined in terms of measurements of points and vectors?
- What different ways are there to determine a plane through geometric information?
사람들이 묻는 질문
What is a partial derivative?
The ordinary derivative with respect to one variable while every other variable is frozen: the slope of the surface in one coordinate direction.
What does the gradient point at?
Uphill: the direction of steepest increase, with length equal to that steepest slope. It is perpendicular to the level curves.
이 페이지의 일부는 다음에서 변경되었습니다. Boelkins et al., Active Calculus Multivariable (CC BY-SA 4.0). 여기서 압축하고 다시 설명; 오류는 우리의.
에 더 Multivariable Calculus
Functions of several variablesPartial derivatives and the gradientOptimisation in several variablesDouble and triple integralsVector fields, line integrals and the big theorems