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Three-dimensional space

Three-dimensional space is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Three-dimensional space rather than just read about it. In short: In geometry, a three-dimensional (3D) space is a mathematical space in which three values (termed coordinates) are required to determine the position of a point. Alternatively, it can be referred to as 3-space or, rarely, tri-dimensional space.

Three-dimensional space — main illustration
Three-dimensional space — illustration

Key takeaways

  • Three-dimensional space belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Three-dimensional space to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Three-dimensional space from memory before moving on to harder problems.

Reference excerpt

In geometry, a three-dimensional (3D) space is a mathematical space in which three values (termed coordinates) are required to determine the position of a point. Alternatively, it can be referred to as 3-space or, rarely, tri-dimensional space. Most commonly, it means the three-dimensional Euclidean space, that is, the Euclidean space of dimension three, which models physical space. More general three-dimensional spaces are called 3-manifolds. The term may refer colloquially to a subset of space, a three-dimensional region (or 3D domain), a solid figure. Technically, a tuple of n numbers can be understood as the Cartesian coordinates of a location in a n-dimensional Euclidean space. The set of these n-tuples is commonly denoted R n , {\displaystyle \mathbb {R} ^{n},} and can be identified to the pair formed by a n-dimensional Euclidean space and a Cartesian coordinate system. When n = 3, this space is called the three-dimensional Euclidean space (or simply "Euclidean space" when the context is clear). In classical physics, it serves as a model of the physical universe, in which all known matter exists. When relativity theory is considered, it can be considered a local subspace of space-time. While this space remains the most widely used way to model the world as it is experienced, it is only one example of a 3-manifold. In this classical example, when the three values refer to measurements in different directions (coordinates), any three directions can be chosen, provided that these directions do not lie in the same plane. Furthermore, if these directions are pairwise perpendicular, the three values are often labeled by the terms width/breadth, height/depth, and length.

History The philosopher Aristotle recognised the existence of three dimensions:A magnitude if divisible one way is a line, if two ways a surface, and if three a body. Beyond these there is no other magnitude, because the three dimensions are all that there are, and that which is divisible in three directions is divisible in all. Books XI to XIII of Euclid's Elements dealt with three-dimensional geometry. Book XI develops notions of perpendicularity, parallelism, and orthogonality of lines and planes, the construction and properties of angles, and parallelepiped solids. Book XII discusses infinitesimals and the method of exhaustion for finding the area of a circle or the volume of a pyramid, cone, cylinder, or sphere. Book XIII describes the construction of the five regular Platonic solids in a sphere, covering the cube, octahedra, icosahedra and dodecahedra. In the 17th century, three-dimensional space was described with Cartesian coordinates, with the advent of analytic geometry developed by René Descartes in his work La Géométrie. Pierre de Fermat independently developed similar ideas in the manuscript Ad locos planos et solidos isagoge (Introduction to Plane and Solid Loci), which was unpublished during Fermat's lifetime. Fermat's work on seeking extrema of a curve would lay the groundwork for differential calculus. Isaac Newton introduced the polar coordinate system as an alternative non-Cartesian system that is useful for certain geometries. The 18th century, Alexis Clairaut studied algebraic curves in space, the concept of tangent space and curvature, and the use of calculus for this purpose. Leonhard Euler studied the notion of a geodesic on a surface deriving the first analytical geodesic equation, and later introduced the first set of intrinsic coordinate systems on a surface, beginning the theory of intrinsic geometry upon which modern geometric ideas are based. In 1760, Euler proved a theorem expressing the curvature of a space curve on a surface in terms of the principal curvatures, known as Euler's theorem. Later in the century, Gaspard Monge made important contributions to the study of curves and surfaces in space. The work of Euler and Monge laid the foundations for differential geometry. In the 19th century, developments of the geometry of three-dimensional space came with William Rowan Hamilton's development of the quaternions, a hypercomplex number system. For this purpose, Hamilton coined the terms scalar and vector, and they were first defined in the three dimensional sense within his geometric framework for quaternions. Three dimensional space could then be described by quaternions q = a + u i + v j + w k {\displaystyle q=a+ui+vj+wk} which had a vanishing scalar component, that is, a = 0 {\displaystyle a=0} . While not explicitly studied by Hamilton, this work indirectly introduced notions of basis, here given by the quaternion elements i , j , k {\displaystyle i,j,k} , as well as the dot product and cross product, which correspond to (the negative of) the scalar part and the vector part of the product of two vector quaternions. It was not until Josiah Willard Gibbs that these two products were identified in their own right, and the modern notation for the dot and cross product were introduced in his classroom teaching notes, found also in the 1901 textbook Vector Analysis written by Edwin Bidwell Wilson based on Gibbs' lectures. Further development came in the abstract formalism of vector spaces, with the work of Hermann Grassmann and Giuseppe Peano, the latter of whom first gave the modern definition of vector spaces as an algebraic structure. The development of matrix mathematics and its application to n-dimensional geometry was made by Arthur Cayley.

In Euclidean geometry

Coordinate systems

… excerpt ends here. Continue reading the full article.

Illustrations

Three-dimensional space: A representation of a three-dimensional Cartesian coordinate system
A representation of a three-dimensional Cartesian coordinate system
Three-dimensional space illustration
Three-dimensional space illustration
Three-dimensional space illustration
Three-dimensional space illustration

Worked examples

Example 1 — a first encounter with Three-dimensional space

Start with the simplest possible case. Write down what Three-dimensional space claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Three-dimensional space before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Three-dimensional space ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Three-dimensional space

In research
Three-dimensional space appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Three-dimensional space in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Three-dimensional space is common in secondary-school and first-year university syllabi. It links to neighbouring topics 3 (number), Analytic geometry, Euclidean solid geometry, so understanding it makes those chapters shorter.
In everyday life
Look for Three-dimensional space outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Three-dimensional space in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Three-dimensional space means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Three-dimensional space out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Three-dimensional space in simple terms?

In geometry, a three-dimensional (3D) space is a mathematical space in which three values (termed coordinates) are required to determine the position of a point. Alternatively, it can be referred to as 3-space or, rarely, tri-dimensional space.

Why does Three-dimensional space matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Three-dimensional space?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Three-dimensional space.

Tags

  • 3 (number)
  • Analytic geometry
  • Euclidean solid geometry
  • Multi-dimensional geometry
  • Space
  • Three-dimensional coordinate systems

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