The world has depth.
We live in a world with depth.
We live in a world with depth. This is called three-dimensional space.
Shapes in this space can be very special. Some shapes have flat sides and sharp corners. These are called regular polytopes. 
Imagine you are standing in a large room. To find a fly buzzing in the air, you need more than just a flat map. You need to know how far it is from one wall, how far from another, and how high it is from the floor. This is the idea of three-dimensional space, or 3D space.
Math helps us describe how things move and sit in this space. We can use three axes that cross at a single starting point called the origin. 
People have studied these shapes for a very long time. The philosopher Aristotle recognized that there were three dimensions. Much later, the mathematician Euclid wrote about 3D geometry in his famous books.
Many famous mathematicians added to our understanding in later years. Isaac Newton introduced a different way to use coordinates. In the 1800s, William Rowan Hamilton created a system called quaternions.
We can see 3D math in many beautiful shapes. Some shapes are very regular, like the five Platonic solids. 
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.
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.
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. 
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.
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.
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.
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. 
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.
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