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Let's dive into how we calculate the distance between two points in 3D space. Who remembers the formula we use?
Is it the Pythagorean theorem but in three dimensions?
Exactly right! It's an extension. We calculate it as \(d = \sqrt{(x_2 - x_1)^2 + (y_2 - y_1)^2 + (z_2 - z_1)^2}\). Now, can anyone calculate the distance between points A(2,3,4) and B(5,7,1)?
Sure! Using the formula, I found it to be \(\sqrt{34}\).
Great job! Now, can anyone summarize what each component of the formula represents in terms of the coordinates?
Um, \(x_1, y_1, z_1\) are the coordinates of point A, and \(x_2, y_2, z_2\) are the coordinates of point B?
Precisely! Each term in the formula calculates the squared differences in the x, y, and z coordinates, and we sum them up before taking the square root. Let's summarize: what is the main takeaway from calculating distances in 3D?
We extend the 2D Pythagorean theorem into 3D by adding the z-coordinate!
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Now let's move on to finding the equation of a plane. Can anyone tell me what information we need to derive the equation of a plane in 3D?
We need at least three non-collinear points, right?
Correct! Now, if we have points A(1,2,3), B(4,5,6), and C(7,8,9), what can we determine about these points?
They seem to be collinear since vectors AB and AC would give a cross product of zero.
That's a key insight! Because the cross product does return zero, we confirm they do not define a unique plane. What does that tell us?
It means we can't create an equation for a plane because the points all lie on the same line.
Exactly! Understanding these properties helps avoid confusion in 3D geometry. Summarizing today, what do we need to find a plane?
Three points that are not collinear!
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In this section, we explore practical applications of 3D geometry through worked examples demonstrating how to calculate distance between points and derive the equations of planes using given points. These examples help solidify understanding of key geometric concepts and their relevance.
This section provides concrete applications of the principles of 3D geometry. We will solve problems related to calculating the distance between points and determining the equations of planes defined by multiple points.
We will calculate the distance between two points, A(2,3,4) and B(5,7,1), using the 3D distance formula derived from the Pythagorean theorem:
$$d = \sqrt{(x_2 - x_1)^2 + (y_2 - y_1)^2 + (z_2 - z_1)^2}$$
Substituting the values, we find:
$$d = \sqrt{(5 - 2)^2 + (7 - 3)^2 + (1 - 4)^2} = \sqrt{3^2 + 4^2 + (-3)^2} = \sqrt{9 + 16 + 9} = \sqrt{34}$$
Next, we will find the equation of the plane passing through points A(1,2,3), B(4,5,6), and C(7,8,9). First, we compute the vectors AB and AC to find the normal vector to the plane:
$$\vec{AB} = (3,3,3)$$
$$\vec{AC} = (6,6,6)$$
Calculating the cross product of these vectors yields:
$$\vec{AB} \times \vec{AC} = (0,0,0)$$
Since this cross product is zero, the points are collinear, indicating that no unique plane is defined.
Thus, through these examples, we reinforce the understanding of calculating distances and the conditions for defining planes, fundamental components in the study of 3D geometry.
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Example 1: Find the distance between points 𝐴(2,3,4) and 𝐵(5,7,1).
Solution:
𝑑 = √(5−2)² +(7−3)² +(1−4)² = √3²+4² +(−3)² = √9+16+9 = √34.
In this example, we need to find the distance between two points in 3D space, A and B, whose coordinates are given. We use the distance formula for 3D coordinates, which is derived from the Pythagorean theorem. The formula states that the distance d between the two points A(x₁, y₁, z₁) and B(x₂, y₂, z₂) is given by:
d = √((x₂ - x₁)² + (y₂ - y₁)² + (z₂ - z₁)²).
By substituting the values from points A(2, 3, 4) and B(5, 7, 1) into the formula, we first compute the differences in each coordinate: (5-2), (7-3), and (1-4). Squaring these differences gives us 9, 16, and 9 respectively. Finally, we add these squared values and take the square root to get the total distance, which results in √34.
Imagine you are navigating a 3D space, like in a video game. If you want to know how far away you are from a friend located at point B, while you're at point A, you could use this distance formula to find the shortest path to them. This is similar to how GPS calculates the distance between two locations in real life.
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Example 2: Find the equation of the plane passing through points 𝐴(1,2,3), 𝐵(4,5,6), and 𝐶(7,8,9).
Solution:
• Vector 𝐴⃗𝐵 = (3,3,3)
• Vector 𝐴⃗𝐶 = (6,6,6)
Cross product of 𝐴⃗𝐵 and 𝐴⃗𝐶 gives the normal vector:
𝐴⃗𝐵 × 𝐴⃗𝐶 = 0
Since the cross product is zero, points are collinear, and no unique plane is determined.
In this example, we are trying to determine the equation of a plane defined by three points in 3D space: A, B, and C. To do this, we first represent the vectors AB and AC, which connect point A to points B and C respectively. By calculating the cross product of these two vectors, we can find the normal vector to the plane. However, in this case, the cross product yields a zero vector. This indicates that the vectors are parallel and, therefore, the points A, B, and C are collinear (they lie on the same line) rather than defining a unique plane.
Think of it like trying to form a flat tabletop with three points marked on a piece of paper. If all the points are lined up in a straight line instead of being spread out in a triangle, you can't make a proper table surface; there's no unique 'table' (or plane) that can be formed with those points. This is why, in our calculation, we end up with a zero vector, meaning a proper plane cannot be established.
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Key Concepts
Distance Calculation: Understanding how points in 3D space relate to one another through distances.
Equation of a Plane: Knowing how to develop the equation of a plane from three points is fundamental in 3D geometry.
See how the concepts apply in real-world scenarios to understand their practical implications.
Distance between points A(2,3,4) and B(5,7,1) is \(\sqrt{34}\).
The equation of the plane through points A(1,2,3), B(4,5,6), and C(7,8,9) results in a zero cross product, indicating collinearity.
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
To find the distance, make sure you see, the x, y, z in a squared spree!
Picture three friends standing in a line, they just can't find the plane to dine. It's their fate to remain in one straight line — they can’t share a plane in a geometry design!
D for Distance, S for Squared — remember the spaces in between while you’re scared!
Review key concepts with flashcards.
Review the Definitions for terms.
Term: Distance Formula
Definition:
A formula used to determine the distance between two points in a 3D space, given as \(d = \sqrt{(x_2 - x_1)^2 + (y_2 - y_1)^2 + (z_2 - z_1)^2}\).
Term: Collinear Points
Definition:
Points that lie on the same straight line.
Term: Normal Vector
Definition:
A vector that is perpendicular to a surface or plane.