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Coordinate system

In mathematics and its applications, a '''coordinate''' (or '''co-ordinate''') '''system''' is a system for assigning an ''n''-tuple of numbers or scalar (mathematics)|scalars to each Point (geometry)|point in an ''n''-dimensional space. This concept is part of the theory of manifolds. "Scalars" in many cases means real numbers, but, depending on context, can mean complex numbers or elements of some other commutative ring. For complicated spaces, it is often not possible to provide one consistent practical coordinate system for the entire space. In this case, a collection of coordinate systems, called '''graphs''', are put together to form an atlas (topology)|atlas covering the whole space. A simple example (which motivates the terminology) is the surface of the earth. Although a specific coordinate system is useful for numerical calculations in a given space, the ''space'' itself is considered to exist independently of any particular choice of coordinates. From this point of view, a '''coordinate''' on a space is simply a function from the space (or a subset of the space) to the scalars. When the space has additional structure, one (typically) restricts attention to the functions which are compatible with this structure. Examples include:
- Continuous functions on topological space
- Smooth functions on smooth manifolds;
- Measurable functions on measure spaces;
- Rational functions on algebraic varieties;
- Linear functionals on vector spaces. The coordinates on a space transform naturally (by pullback) under the Group (mathematics)|group of automorphisms of the space, and the set of all coordinates is a commutative ring called the coordinate ring of the space. In informal usage, coordinate systems can have '''singularities''': these are points where one or more of the coordinates is not well-defined. For example, the origin in the polar coordinate system (''r'',''θ'') on the plane is singular, because although the radial coordinate has a well-defined value (''r'' = 0) at the origin, ''θ'' can be any angle, and so is not a well-defined function at the origin.

Examples

The prototypical example of a coordinate system is the Cartesian coordinate system, which describes the position of a point ''P'' in the Euclidean space '''R'''ⁿ by an n-tuple
- ''P'' = (''r''₁, ..., ''r_n'') of real numbers
- ''r''₁, ..., ''r_n''. These numbers ''r''₁, ..., ''r_n'' are called the ''coordinates linear polynomials'' of the point ''P''. If a subset ''S ''of a Euclidean space is mapped continuous function|continuously onto another topological space, this defines coordinates in the image of S. That can be called a '''parametrization''' of the image, since it assigns numbers to points. That correspondence is unique only if the mapping is bijective. The system of assigning longitude and latitude to geographical locations is a coordinate system. In this case the ''parametrization'' fails to be unique at the north and south poles.

Defining a coordinate system based on another one

In geometry and kinematics, coordinate systems are used not only to describe the (linear) position of points, but also to describe the orientation (geometry)|angular position of axes, planes, and rigid bodies. In the latter case, the orientation of a second (typically referred to as "local") coordinate system, fixed to the node, is defined based on the first (typically referred to as "global" or "world" coordinate system). For instance, the orientation of a rigid body can be represented by an orientation Matrix (mathematics)|matrix, which includes, in its three columns, the Cartesian coordinates of three points. These points are used to define the orientation of the axes of the local system; they are the tips of three unit vectors aligned with those axes. To read the coordinate system you have to know what side is "n" (the bottom side with numbers) then you go from "n" to whatever your number is.

Transformations

A '''coordinate transformation''' is a conversion from one system to another, to describe the same space. With every bijection from the space to itself two coordinate transformations can be associated:
- such that the new coordinates of the image of each point are the same as the old coordinates of the original point (the formulas for the mapping are the inverse of those for the coordinate transformation)
- such that the old coordinates of the image of each point are the same as the new coordinates of the original point (the formulas for the mapping are the same as those for the coordinate transformation) For example, in Dimension|1D, if the mapping is a translation of 3 to the right, the first moves the origin from 0 to 3, so that the coordinate of each point becomes 3 less, while the second moves the origin from 0 to -3, so that the coordinate of each point becomes 3 more.

Systems commonly used

Some coordinate systems are the following:
- The Cartesian coordinate system (also called the "rectangular coordinate system"), which, for three-dimensional flat space, uses three numbers representing distances.
- Curvilinear coordinates are a generalization of coordinate systems generally; the system is based on the intersection of curves.
- The polar coordinate systems:
    - Polar coordinate system#Circular coordinates|Circular coordinate system (commonly referred to as the polar coordinate system) represents a point in the plane by an angle and a distance from the origin.
    - Cylindrical coordinate system represents a point in space by an angle, a distance from the origin and a height.
    - Spherical coordinate system represents a point in space with two angles and a distance from the origin.
- Plücker coordinates are a way of representing lines in 3D Euclidean space using a six-tuple of numbers as homogeneous coordinates.
- Generalized coordinates are used in the Lagrangian treatment of mechanics.
- Canonical coordinates are used in the Hamiltonian mechanics|Hamiltonian treatment of mechanics.
- Parallel coordinates visualise a point in n-dimensional space as a polyline connecting points on ''n'' vertical lines. There are ways of describing curves without coordinates, using intrinsic equations that use invariant quantities such as curvature and arc length. These include:
- Whewell equation relates arc length and tangential angle.
- Cesàro equation relates arc length and curvature.

A list of orthogonal coordinate systems

In mathematics, two vectors are orthogonal if they are perpendicular. The following coordinate systems all have the properties of being Orthogonal coordinates|orthogonal coordinate systems, that is the coordinate surfaces meet at right angles.

Geographical systems

Geography and cartography utilize various geographic coordinate systems to map positions on the 3-dimensional globe to a 2-dimensional document. The Global Positioning System uses the World Geodetic System#A new World Geodetic System: WGS84|WGS84 coordinate system. The Universal Transverse Mercator (UTM) and Universal Polar Stereographic (UPS) coordinate systems both use a metric-based cartesian grid laid out on a conformally projected surface to locate positions on the surface of the Earth. The UTM system is not a single map projection but a series of map projections, one for each of sixty zones. The UPS system is used for the polar regions, which are not covered by the UTM system. During medieval times, the stereographic coordinate system was used for navigation purposes. The stereographic coordinate system was superseded by the latitude-longitude system, and more recently, the Global Positioning System. Although no longer used in navigation, the stereographic coordinate system is still used in modern times to describe crystallographic orientations in the field of materials science. The modern Cartesian coordinate system in two dimensions (also called a rectangular coordinate system) is commonly defined by two axes, at right angles to each other, forming a plane (an xy-plane). The horizontal axis is labeled x, and the vertical axis is labeled y. In a three dimensional coordinate system, another axis, normally labeled z, is added, providing a sense of a third dimension of space measurement. The axes are commonly defined as mutually orthogonal to each other (each at a right angle to the other). (Early systems allowed "oblique" axes, that is, axes that did not meet at right angles.) All the points in a Cartesian coordinate system taken together form a so-called Cartesian plane. The point of intersection, where the axes meet, is called the origin normally labeled O. With the origin labeled O, we can name the x axis Ox and the y axis Oy. The x and y axes define a plane that can be referred to as the xy plane. Given each axis, choose a unit length, and mark off each unit along the axis, forming a grid. To specify a particular point on a two dimensional coordinate system, you indicate the x unit first (abscissa), followed by the y unit (ordinate) in the form (x,y), an ordered pair. In three dimensions, a third z unit is added, (x,y,z). The choices of letters come from the original convention, which is to use the latter part of the alphabet to indicate unknown values. The first part of the alphabet was used to designate known values.

Astronomical systems

Coordinate systems on the sphere are particularly important in astronomy: see astronomical coordinate systems.

References and notes

External links

- Hexagonal Coordinate System
- Coordinates of a point Interactive tool to explore coordinates of a point Category:Coordinate systems|* Category:Analytic geometry

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