Problem 30
Question
Use the distance formula to prove that the given points are collinear. $$ P_{1}(2,3,2), P_{2}(1,4,4), P_{3}(5,0,-4) $$
Step-by-Step Solution
Verified Answer
The points are collinear as the distances satisfy collinearity conditions.
1Step 1: Understand the Concept of Collinearity
Three points are collinear if they lie on the same straight line. In three dimensions, this can be shown if the sum of distances between two pairs of points equals the distance between the farthest points. This uses the distance formula to check for equality of the sum of distances.
2Step 2: Apply the Distance Formula
The distance between two points \( A(x_1, y_1, z_1) \) and \( B(x_2, y_2, z_2) \) is given by: \[ d(A, B) = \sqrt{(x_2 - x_1)^2 + (y_2 - y_1)^2 + (z_2 - z_1)^2} \] We will calculate the distances between the points: \( P_1 ext{ and } P_2 \), \( P_2 ext{ and } P_3 \), and \( P_1 ext{ and } P_3 \).
3Step 3: Calculate Distance Between P1 and P2
Using the formula: \[ d(P_1, P_2) = \sqrt{(1 - 2)^2 + (4 - 3)^2 + (4 - 2)^2} = \sqrt{1 + 1 + 4} = \sqrt{6} \] The distance between points \( P_1 \) and \( P_2 \) is \( \sqrt{6} \).
4Step 4: Calculate Distance Between P2 and P3
Using the formula: \[ d(P_2, P_3) = \sqrt{(5 - 1)^2 + (0 - 4)^2 + (-4 - 4)^2} = \sqrt{16 + 16 + 64} = \sqrt{96} \] The distance between points \( P_2 \) and \( P_3 \) is \( \sqrt{96} \).
5Step 5: Calculate Distance Between P1 and P3
Using the formula: \[ d(P_1, P_3) = \sqrt{(5 - 2)^2 + (0 - 3)^2 + (-4 - 2)^2} = \sqrt{9 + 9 + 36} = \sqrt{54} \] The distance between points \( P_1 \) and \( P_3 \) is \( \sqrt{54} \).
6Step 6: Verify Collinearity
To confirm the points are collinear, check if the distance from \( P_1 ext{ to } P_3 \) equals the sum of the other two distances: \[ d(P_1, P_3) = d(P_1, P_2) + d(P_2, P_3) \]Substituting the values: \[ \sqrt{54} = \sqrt{6} + \sqrt{96} \]Rewriting:\[ \sqrt{54} = \sqrt{54} \]The equality holds, confirming collinearity.
Key Concepts
CollinearityThree-Dimensional GeometryDistance in 3D Space
Collinearity
Collinearity is a property where points lie along a single straight line. Understanding collinearity is especially useful in geometry as it reveals relationships among points in space. For three points to be collinear, the sum of the distances between the first and second points and the second and third points should equal the distance between the first and third points.
In our exercise, we have three points: \(P_1(2,3,2)\), \(P_2(1,4,4)\), and \(P_3(5,0,-4)\). To prove these points are collinear, we can use the distance formula. Start by calculating distances between all pairs and ensuring they add up in a manner where the sum of two smaller distances equals the longest distance. This methodology confirms the points lie on the same straight line, making them collinear.
In our exercise, we have three points: \(P_1(2,3,2)\), \(P_2(1,4,4)\), and \(P_3(5,0,-4)\). To prove these points are collinear, we can use the distance formula. Start by calculating distances between all pairs and ensuring they add up in a manner where the sum of two smaller distances equals the longest distance. This methodology confirms the points lie on the same straight line, making them collinear.
Three-Dimensional Geometry
Three-dimensional geometry, or 3D geometry, involves shapes and figures that have depth in addition to length and width. It contrasts with two-dimensional geometry, which only accounts for length and width.
Visualizing 3D space can be challenging, but it is crucial for understanding real-world applications, like architecture and physics. In 3D space, each point is defined with three coordinates: \(x\), \(y\), and \(z\). These coordinates dictate the position of a point with respect to a reference point, usually denoted as the origin \((0,0,0)\).
Visualizing 3D space can be challenging, but it is crucial for understanding real-world applications, like architecture and physics. In 3D space, each point is defined with three coordinates: \(x\), \(y\), and \(z\). These coordinates dictate the position of a point with respect to a reference point, usually denoted as the origin \((0,0,0)\).
- The \(x\)-coordinate measures horizontal distance.
- The \(y\)-coordinate measures vertical distance.
- The \(z\)-coordinate measures depth.
Distance in 3D Space
The distance formula in 3D space is an extension of the Pythagorean theorem and is pivotal in calculating the shortest path between two points. Here is the formula: \[d(A, B) = \sqrt{(x_2 - x_1)^2 + (y_2 - y_1)^2 + (z_2 - z_1)^2}\] This determines the linear distance, perfect for addressing our exercise's goal of verifying collinearity.
Initially, calculate the distance between each pair of points to establish their spatial relations. Using this formula, compute the distances: from \(P_1\) to \(P_2\), from \(P_2\) to \(P_3\), and from \(P_1\) to \(P_3\). Ensuring the computed total correlates with the direct distance between the first and last points confirms collinearity.
The 3D distance formula is an indispensable use case not merely on paper but also in real-life situations, like measuring the shortest air travel route or determining cable lengths in telecommunications.
Initially, calculate the distance between each pair of points to establish their spatial relations. Using this formula, compute the distances: from \(P_1\) to \(P_2\), from \(P_2\) to \(P_3\), and from \(P_1\) to \(P_3\). Ensuring the computed total correlates with the direct distance between the first and last points confirms collinearity.
The 3D distance formula is an indispensable use case not merely on paper but also in real-life situations, like measuring the shortest air travel route or determining cable lengths in telecommunications.
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