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Three-dimensional space

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Three-dimensional space, often called 3D space or 3-space, is a mathematical environment defined by three independent values. These values are known as coordinates, and they are required to determine the exact position of any single point. In mathematics, this is most commonly understood as three-dimensional Euclidean space. This specific model is used to represent the physical universe where all known matter exists. While it is the most common way to model our experience, it is technically just one type of a more general structure called a 3-manifold.

Coord planes color
Coord planes color

To locate a point in Euclidean space, we use a Cartesian coordinate system. This system relies on three axes that are perpendicular to one another. These axes intersect at a single starting point called the origin. The three axes are typically labeled x, y, and z. Any point in this space is described by an ordered triple of real numbers. Each number represents the distance from the origin along a specific axis. This distance is also the shortest distance from the point to the plane formed by the other two axes.

Coord planes color
Coord planes color

Geometry in three dimensions also involves the study of lines and planes. Two distinct points always define a single straight line. If you have three distinct points, they will either lie on a single line or determine a unique plane. Four distinct points are more complex, as they can be collinear, coplanar, or define the entire three-dimensional space. Planes themselves can interact in different ways. Two distinct planes might meet at a common line or be parallel. Three planes can meet at a single point, a common line, or not meet at all.

Relations between planes
Relations between planes

Mathematical history shows a long progression of understanding these spatial relationships. The philosopher Aristotle recognized the existence of three dimensions. Later, Euclid explored 3D geometry in his work, *Elements*. In Book XI, he developed ideas regarding perpendicularity and parallelism. Book XII focused on finding the volumes of shapes like pyramids, cones, and spheres. Book XIII described how to construct the five regular Platonic solids within a sphere. These early works laid the foundation for classical geometry.

Hexahedron
Hexahedron

In the 17th century, the field changed with the rise of analytic geometry. René Descartes developed this in his work *La Géométrie*, using coordinates to describe space. Pierre Fermat independently developed similar ideas in his manuscript *Ad locos planos et solidos isagoge*. These advancements allowed mathematicians to use algebra to solve geometric problems. Later, Isaac Newton introduced the polar coordinate system as an alternative to Cartesian methods. This provided a new way to describe certain types of geometries.

Sphere wireframe 10deg 6r
Sphere wireframe 10deg 6r

The 18th and 19th centuries brought even deeper complexity to the study of space. Leonhard Euler studied how curves move on surfaces and introduced intrinsic coordinate systems. He also proved a theorem regarding the curvature of space curves. In the 1800s, William Rowan Hamilton developed quaternions, a hypercomplex number system. Through this work, Hamilton coined the terms scalar and vector. These terms were first defined within his three-dimensional geometric framework.

Cross product vector
Cross product vector

Modern vector analysis emerged from these historical developments. Josiah Willard Gibbs later identified the dot product and cross product as distinct operations. These were popularized through his teaching notes and the 1901 textbook *Vector Analysis* by Edwin Bidwell Wilson. We also see specialized shapes like the Platonic solids. There are five convex Platonic solids, such as the tetrahedron and the dodecahedron. There are also four nonconvex Kepler-Poinsot polyhedra.

Tetrahedron
Tetrahedron
Dodecahedron
Dodecahedron
SmallStellatedDodecahedron
SmallStellatedDodecahedron

Finally, three-dimensional space is essential to the field of linear algebra. In this context, space is considered three-dimensional because it is built from three independent vectors. This means the length of a box is independent of its width or breadth. A vector can be visualized as an arrow with a specific magnitude and direction. The magnitude is its length, and its direction is where the arrow points. Using these tools, scientists can calculate complex things, such as the force of gravity on an object.

Cross product vector
Cross product vector
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🖼️ Images & Media (15)
File:Coord planes color.svg
Coord planes color.svg
File:Relations between planes.png
Relations between planes.png
File:Sphere wireframe 10deg 6r.svg
Sphere wireframe 10deg 6r.svg
File:Tetrahedron.svg
Tetrahedron.svg
File:Hexahedron.svg
Hexahedron.svg
File:Octahedron.svg
Octahedron.svg
File:Dodecahedron.svg
Dodecahedron.svg
File:Icosahedron.svg
Icosahedron.svg
File:SmallStellatedDodecahedron.jpg
SmallStellatedDodecahedron.jpg
File:GreatDodecahedron.jpg
GreatDodecahedron.jpg
File:GreatStellatedDodecahedron.jpg
GreatStellatedDodecahedron.jpg
File:GreatIcosahedron.jpg
GreatIcosahedron.jpg

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