- Describe three-dimensional space mathematically
- Find and graph points in 3D space using their [latex](x, y, z)[/latex] coordinates
- Write the distance formula in three dimensions
- Write the equations for simple planes and spheres
- Perform vector operations in ℝ3
Three-Dimensional Coordinate Systems
Vectors work well for solving two-dimensional problems, but real life happens in three dimensions. Whether you’re navigating mountainous terrain, analyzing the flight path of an aircraft, or studying molecular structures, you need tools that work in 3D space.
The two-dimensional coordinate system uses two perpendicular axes: the horizontal [latex]x[/latex]-axis and vertical [latex]y[/latex]-axis. To work in three dimensions, we add a third axis—the [latex]z[/latex]-axis—perpendicular to both existing axes.
three-dimensional rectangular coordinate system
Consists of three mutually perpendicular axes: the [latex]x[/latex]-axis, [latex]y[/latex]-axis, and [latex]z[/latex]-axis. Since each axis represents all real numbers, we denote this system as [latex]\mathbb{R}^3[/latex].
The Right-Hand Rule
In Figure 1(a), the positive [latex]z[/latex]-axis is shown above the plane containing the [latex]x[/latex]– and [latex]y[/latex]-axes. The positive [latex]x[/latex]-axis appears to the left and the positive [latex]y[/latex]-axis is to the right. A natural question to ask is: How was arrangement determined?
The arrangement of the three axes follows a standard convention called the right-hand rule. Here’s how it works:
- Point your right hand’s fingers along the positive [latex]x[/latex]-axis
- Curl your fingers toward the positive [latex]y[/latex]-axis
- Your thumb naturally points in the direction of the positive [latex]z[/latex]-axis
This standard ensures consistency across mathematical applications. While left-hand rule systems exist, we always use the right-hand rule convention.

Plotting Points in 3D
In two dimensions, we describe a point in the plane with the coordinates [latex](x, y)[/latex]. In three dimensions, you add a third coordinate, [latex]z[/latex]: [latex](x, y, z)[/latex]. A point in space is identified by all three coordinates (Figure 2).
To plot the point [latex](x, y, z)[/latex]:
- Move [latex]x[/latex] units along the [latex]x[/latex]-axis
- Move [latex]y[/latex] units in the direction of the [latex]y[/latex]-axis
- Move [latex]z[/latex] units in the direction of the [latex]z[/latex]-axis
The intersection of these three movements locates your point in 3D space.

Coordinate Planes
Just as two perpendicular axes define a coordinate plane in 2D, pairs of axes define coordinate planes in 3D. With three axes, we get three coordinate planes:
- [latex]xy[/latex]-plane: Contains the [latex]x[/latex] and [latex]y[/latex] axes, where [latex]z = 0[/latex]
- [latex]xz[/latex]-plane: Contains the [latex]x[/latex] and [latex]z[/latex] axes, where [latex]y = 0[/latex]
- [latex]yz[/latex]-plane: Contains the [latex]y[/latex] and [latex]z[/latex] axes, where [latex]x = 0[/latex]
Formally, these planes are defined as:
- [latex]xy[/latex]-plane: [latex]{(x,y,0) : x,y \in \mathbb{R}}[/latex]
- [latex]xz[/latex]-plane: [latex]{(x,0,z) : x,z \in \mathbb{R}}[/latex]
- [latex]yz[/latex]-plane: [latex]{(0,y,z) : y,z \in \mathbb{R}}[/latex]

In 2D, the coordinate axes divide the plane into four quadrants. In 3D, the three coordinate planes divide space into eight regions called octants.

Distance Formula in Three Dimensions
The distance formula extends naturally from 2D to 3D. In two dimensions, the distance between points [latex](x_1, y_1)[/latex] and [latex](x_2, y_2)[/latex] is:
[latex]d = \sqrt{(x_2 - x_1)^2 + (y_2 - y_1)^2}[/latex]
The distance [latex]d[/latex] between points [latex](x_1, y_1, z_1)[/latex] and [latex](x_2, y_2, z_2)[/latex] is:
[latex]d = \sqrt{(x_2 - x_1)^2 + (y_2 - y_1)^2 + (z_2 - z_1)^2}[/latex]
distance formula in 3D
The distance [latex]d[/latex] between points [latex](x_1, y_1, z_1)[/latex] and [latex](x_2, y_2, z_2)[/latex] is given by the formula:
This formula represents the length of the diagonal of a rectangular prism (box) with the two points as opposite corners.


Key Differences in Three Dimensions
Before moving on to the next section, let’s get a feel for how [latex]\mathbb{R}^3[/latex] differs from [latex]\mathbb{R}^2[/latex].
Three-dimensional space offers more geometric flexibility than 2D:
In 2D: Non-parallel lines must intersect.
In 3D: Non-parallel lines can be skew lines—they don’t intersect and aren’t parallel.

In 2D: Circles either intersect, are tangent, or are completely separate.
In 3D: Circles can be interconnected (like links in a chain) without sharing any points.

This increased flexibility makes 3D geometry richer and more complex than 2D geometry.
