## ::Euclidean space

### ::concepts

Space::geometry ''n''::group Which::spaces Plane::vector Mathbf::point Metric::angle

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In geometry, **Euclidean space** encompasses the two-dimensional Euclidean plane, the three-dimensional space of Euclidean geometry, and certain other spaces. It is named after the Ancient Greek mathematician Euclid of Alexandria.<ref>{{#invoke:citation/CS1|citation
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Classical Greek geometry defined the Euclidean plane and Euclidean three-dimensional space using certain postulates, while the other properties of these spaces were deduced as theorems. Geometric constructions are also used to define rational numbers. When algebra and mathematical analysis became developed enough, this relation reversed and now it is more common to define Euclidean space using Cartesian coordinates and the ideas of analytic geometry. It means that points of the space are specified with collections of real numbers, and geometric shapes are defined as equations and inequalities. This approach brings the tools of algebra and calculus to bear on questions of geometry and has the advantage that it generalizes easily to Euclidean spaces of more than three dimensions.

From the modern viewpoint, there is essentially only one Euclidean space of each dimension. With Cartesian coordinates it is modelled by the real coordinate space (**R**^{n}) of the same dimension. In one dimension, this is the real line; in two dimensions, it is the Cartesian plane; and in higher dimensions it is a coordinate space with three or more real number coordinates. Mathematicians denote the n-dimensional Euclidean space by **E**^{n} if they wish to emphasize its Euclidean nature, but **R**^{n} is used as well since the latter is assumed to have the standard Euclidean structure, and these two structures are not always distinguished. Euclidean spaces have finite dimension.<ref name="mathen">{{#invoke:citation/CS1|citation
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**Euclidean space sections**

Intro Intuitive overview Euclidean structure Non-Cartesian coordinates Geometric shapes Topology Applications Alternatives and generalizations See also Footnotes References External links

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