This chapter discusses three-dimensional geometry, focusing on direction cosines and ratios, line and plane equations, angles between lines and planes, and shortest distances between skew lines and points.
Three-dimensional geometry extends the concepts learned in two-dimensional analytical geometry to three dimensions. The main goal is to represent lines and planes using vectors, which simplifies the calculations and provides a cohesive framework for understanding spatial relationships. Vector algebra is particularly useful for calculations involving direction cosines, ratios, and distances in 3D space.
Definition:
Uniqueness:
Finding Direction Cosines from Two Points:
For two points P(x₁, y₁, z₁) and Q(x₂, y₂, z₂), the direction cosines are calculated as:
l = (x₂ - x₁) / PQ,
m = (y₂ - y₁) / PQ,
n = (z₂ - z₁) / PQ,
where PQ = √[(x₂ - x₁)² + (y₂ - y₁)² + (z₂ - z₁)²].
Examples:
Vector Equations:
Parametric Equations:
Cartesian Equations:
The Cartesian equation of the line can be obtained by eliminating λ from parametric forms, resulting in:
(x - x₁)/a = (y - y₁)/b = (z - z₁)/c.
Angle Between Two Lines:
Shortest Distance Between Skew Lines:
Skew lines are defined as lines that are neither parallel nor intersecting. To find the shortest distance between skew lines:
Example Problems: