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Coordinate system

A coordinate system assigns numbers to points so their positions are uniquely specified. Covers Cartesian, polar, spherical and other systems, uses, history, and how coordinates transform between frames.

Overview

A coordinate system is a rule for assigning one or more numbers to each point in a space so that the point can be identified uniquely. In the simplest plane examples the assignment is an ordered pair of values; for three-dimensional space a triplet is used. Coordinates are numerical values (often called scalars) measured with respect to an origin and one or more reference axes or directions.

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Parts and characteristics

Every coordinate system has an origin, a set of axes or coordinate surfaces, and a convention for ordering the values. Systems may be orthogonal (axes at right angles), orthonormal (axes at right angles and unit length), or skew (non‑perpendicular). Orientation (right‑handed or left‑handed) and units are part of the definition, and coordinates depend on the chosen reference frame.

Common types

  • Cartesian (rectangular): points by (x,y) in the plane or (x,y,z) in space.
  • Polar and cylindrical: plane points by (r,θ); in 3D cylindrical adds z.
  • Spherical: typically given by radius and two angles (ρ,θ,φ) for three dimensions.
  • Geodetic and map projections: coordinates on Earth’s surface using latitude/longitude or projected x,y grids.

History and development

The systematic use of coordinates for geometry is usually credited to René Descartes and Pierre de Fermat in the 17th century, which enabled algebraic methods to describe curves and shapes. Since then many specialized systems and conventions have been developed for navigation, astronomy, engineering and modern physics.

Applications and examples

Coordinate systems underpin navigation, surveying, computer graphics, robotics and scientific modeling. For example, a plane point can be written as (x,y) in a Cartesian frame or as (r,θ) in a two-dimensional polar system, with the familiar relations x = r cos θ and y = r sin θ. In three dimensions one chooses between Cartesian, cylindrical or spherical coordinates depending on symmetry.

Transformations and distinctions

Changing from one coordinate system to another requires transformation formulas and may introduce singularities (for example θ is undefined at r=0). In advanced geometry the term "coordinate chart" refers to local parameterizations on curved spaces. It is useful to distinguish between a coordinate system (the numerical labelling) and a reference frame (the physical axes and origin). For higher‑dimensional problems, additional numbers are required—see more dimensions.

Understanding coordinate choices and transformations is essential for modeling, computation and interpreting measurements in science and engineering.

Affine coordinate system

Main article: Affine coordinates

Selecting three points {\displaystyle P_{0},P_{1},P_{2}}not on a straight line in the Euclidean plane, the two vectors are {\displaystyle {\overrightarrow {P_{0}P_{1}}},{\overrightarrow {P_{0}P_{2}}}}linearly independent. With the point P_{0}as origin, the location vector {\displaystyle {\overrightarrow {P_{0}P}}}of any point written like thisP

{\displaystyle {\overrightarrow {P_{0}P}}={\color {green}u}{\overrightarrow {P_{0}P_{1}}}+{\color {green}v}{\overrightarrow {P_{0}P_{2}}}\ }

and {\displaystyle P_{0},P_{1},P_{2}}assign to the point Pnumber pair {\displaystyle \ ({\color {green}u},{\color {green}v})_{a}\ }as affine coordinates with respect to the base points

If the vectors {\displaystyle {\overrightarrow {P_{0}P_{1}}},{\overrightarrow {P_{0}P_{2}}}}form an orthonormal basis, Cartesian coordinates result. In this case, for a point {\displaystyle (u_{0},v_{0})_{a}}the sets of points {\displaystyle u=u_{0}}and are v=v_{0}Straight lines that intersect orthogonally.
If the basis vectors are not orthogonal (see picture), we speak of oblique coordinates.

Accordingly, affine coordinates are explained for higher dimensions.

Defining coordinates in this way is possible for any n-dimensional affine space over a body, so is not limited to a Euclidean space.

Since the 3-dimensional space plays an important role in practice, there are certain agreements for the introduction of coordinates, e.g. the legal system.

Non-affine coordinate systems

In the plane

Since for calculations of lengths and angles it is advantageous if the curves {\displaystyle u=u_{0}}or v=v_{0}intersect orthogonally, one is interested in curve systems which intersect orthogonally. Because, then it is easy to specify a local Cartesian coordinate system at each point (see below).

The simplest non-linear orthogonal curve system consists of the rays in a point P_{0}and the associated concentric circles. Thus one obtains the polar coordinates. Note: They are {\displaystyle P\neq P_{0}}defined only for points For the radius coordinate, The angular range consists only of the half-open interval {\displaystyle [0,2\pi [}.

Elliptical coordinates use perpendicularly intersecting systems of confocal ellipses and hyperbolas. These coordinates are not defined for the focal points and the points between them.

In space

The spatial coordinates corresponding to the polar coordinates are the

Cylinder coordinates. They are defined only for points outside the cylinder axis. and the

Spherical coordinates. Restrictions of the definition ranges and points, to which spherical coordinates are assigned, apply also here.

The (plane) elliptical coordinates correspond to the ellipsoid coordinates. The orthogonal surface system used here consists of confocal ellipsoids, single-shell and double-shell hyperboloids.

Furthermore there are the ellipsoidal coordinates, which are used for the description of points of a rotation ellipsoid (earth).

On surfaces

Parameter representations of surfaces can be seen as coordinate systems of these surfaces. E.g. the parameter representation of a plane, the usual parameter representation of a spherical surface with geographical longitude and latitude or the paramer representation of an ellipsoid.

Other curvilinear coordinate systems

Further examples and applications of coordinate systems can be found in the article curvilinear coordinates.

Local coordinate systems

If are {\displaystyle (u,v)_{c}}plane curvilinear orthogonal coordinates (polar coordinates, elliptic coordinates,...) and if one determines in a point {\displaystyle P_{0}=(u_{0},v_{0})_{c}}the tangent directions of the curves v=v_{0}and {\displaystyle u=u_{0}}and normalizes these, then one receives local basis vectors, which one can use for a local Cartesian coordinate system.

In polar coordinates, one vector points in the direction of the radius and the other in the direction of the tangent of the circle through P_{0}. Here, the local system can be thought to have arisen from the global system by displacement and suitable rotation.

In space, one determines the tangent vectors to the curves passing through a point {\displaystyle P_{0}=(u_{0},v_{0},w_{0})_{c}}{\displaystyle (u,v_{0},w_{0})_{c}}, {\displaystyle (u_{0},v,w_{0})_{c}}and {\displaystyle (u_{0},v_{0},w)_{c}}and normalizes them. See (in the picture) the example spherical coordinates.

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