Problem 14
Question
Find the distance between the point and the plane (see figure). The distance \(D\) between a point \(\left(x_{0}, y_{0}, z_{0}\right)\) and the plane \(a x+b y+c z+d=0\) is $$ D=\frac{\left|a x_{0}+b y_{0}+c z_{0}+d\right|}{\sqrt{a^{2}+b^{2}+c^{2}}} $$ $$ (0,0,0), 8 x-4 y+z=8 $$
Step-by-Step Solution
Verified Answer
The distance between the given point and the plane is \(D = \frac{8}{9}\).
1Step 1: Identify the variables in the equation of the plane
From the equation \(8x - 4y + z = 8\), we identify \(a = 8, b = -4, c = 1\) and \(d = -8\). These represent the coefficients in the given plane equation.
2Step 2: Identify the coordinates of the point
Given the point \((0,0,0)\), hence \(x_{0} = 0, y_{0} = 0, z_{0} = 0\). These specify the location of the point in three dimensions.
3Step 3: Substitute the variables into the formula
Substitute the identified a, b, c, d and \(x_{0}, y_{0}, z_{0}\) into the formula, we get \(D = \frac{\left|8*0 - 4*0 + 1*0 - 8\right|}{\sqrt{8^{2} + (-4)^{2} + 1^{2}}}\).
4Step 4: Simplify the equation
Simplify the numerator and the denominator separately, we get \(D = \frac{8}{\sqrt{64 + 16 + 1}}\).
5Step 5: Final Calculation
After simplification, we have \(D = \frac{8}{\sqrt{81}} = \frac{8}{9}\).
Key Concepts
Point to Plane Distance FormulaEquations of a PlaneCoordinate Geometry in Three DimensionsVector Calculus
Point to Plane Distance Formula
The point to plane distance formula allows us to calculate the shortest distance between any given point in three-dimensional space and a plane. It has significant implications in fields such as geometry, aviation, and computer graphics.
The formula itself is relatively straightforward. For a point with coordinates \( (x_0, y_0, z_0) \) and a plane described by the equation \( ax + by + cz + d = 0 \), the distance \( D \) is given by:
\[ D = \frac{|ax_0 + by_0 + cz_0 + d|}{\sqrt{a^2 + b^2 + c^2}} \]
To apply this, we must identify the coefficients \( a \), \( b \), and \( c \) from the plane's equation, and the coordinates of the point. With these values known, substitution into the formula will yield the desired distance.
The formula itself is relatively straightforward. For a point with coordinates \( (x_0, y_0, z_0) \) and a plane described by the equation \( ax + by + cz + d = 0 \), the distance \( D \) is given by:
\[ D = \frac{|ax_0 + by_0 + cz_0 + d|}{\sqrt{a^2 + b^2 + c^2}} \]
To apply this, we must identify the coefficients \( a \), \( b \), and \( c \) from the plane's equation, and the coordinates of the point. With these values known, substitution into the formula will yield the desired distance.
Equations of a Plane
Understanding the equations of a plane is fundamental to solving problems in three-dimensional geometry. A plane can be defined using the equation \( ax + by + cz + d = 0 \), where \( a \), \( b \), and \( c \) are the components of the normal vector to the plane, and \( d \) is the scalar distance from the origin to the plane along the normal vector.
In three-dimensional space, any plane can be uniquely determined by this normal vector and the scalar \( d \). The normal vector gives us the orientation of the plane, while \( d \) specifies its position relative to the origin. When given a plane's equation, we can analyze the properties of the plane, such as its steepness and orientation, and calculate distances to points.
In three-dimensional space, any plane can be uniquely determined by this normal vector and the scalar \( d \). The normal vector gives us the orientation of the plane, while \( d \) specifies its position relative to the origin. When given a plane's equation, we can analyze the properties of the plane, such as its steepness and orientation, and calculate distances to points.
Coordinate Geometry in Three Dimensions
Coordinate geometry in three dimensions, also known as 3D analytic geometry, is concerned with the study of points, lines, and planes in space. Points are described by their coordinates \( (x, y, z) \) and are the fundamental building blocks of this branch of geometry.
By understanding the relationships between points, we can calculate distances, angles, and the equations of lines and planes. This field extends many concepts from two-dimensional coordinate geometry to three dimensions, allowing for more complex applications and analyses. The systematic approach to solving geometric problems in 3D involves the use of the Cartesian coordinate system to represent spatial relationships mathematically.
By understanding the relationships between points, we can calculate distances, angles, and the equations of lines and planes. This field extends many concepts from two-dimensional coordinate geometry to three dimensions, allowing for more complex applications and analyses. The systematic approach to solving geometric problems in 3D involves the use of the Cartesian coordinate system to represent spatial relationships mathematically.
Vector Calculus
Vector calculus is an essential part of mathematics that deals with the differentiation and integration of vector fields. It has wide-reaching applications, including physics, engineering, and computer science, especially in the study of motion, forces, and fields.
Vector calculus is typically used in the context of three-dimensional space, where vectors represent quantities with both magnitude and direction. In the point to plane distance problem, vector calculus concepts such as dot product and vector magnitude play a crucial role in deriving and understanding the distance formula.
The use of vectors simplifies many calculations involving points and planes since they provide a concise mathematical method for describing and manipulating these entities in space.
Vector calculus is typically used in the context of three-dimensional space, where vectors represent quantities with both magnitude and direction. In the point to plane distance problem, vector calculus concepts such as dot product and vector magnitude play a crucial role in deriving and understanding the distance formula.
The use of vectors simplifies many calculations involving points and planes since they provide a concise mathematical method for describing and manipulating these entities in space.
Other exercises in this chapter
Problem 14
Use Lagrange multipliers to find the given extremum. In each case, assume that \(x, y,\) and \(z\) are positive. $$ \begin{array}{l}{\text { Maximize } f(x, y,
View solution Problem 14
Find the function values. $$ f(x, y)=3 x y+y^{2} $$ $$ \text { (a) } f(x+\Delta x, y) \quad \text { (b) } \frac{f(x, y+\Delta y)-f(x, y)}{\Delta y} $$
View solution Problem 14
Find the distance between the two points. $$ (-4,-1,1),(2,-1,5) $$
View solution Problem 15
Examine the function for relative extrema and saddle points. $$ f(x, y)=\frac{1}{2} x y $$
View solution