# dimension

(redirected from 2-dimensional)
Also found in: Dictionary, Thesaurus, Medical, Legal, Wikipedia.

## dimension,

in physics, an expression of the character of a derived quantity in relation to fundamental quantities, without regard for its numerical value. In any system of measurement, such as the metric system, certain quantities are considered fundamental, and all others are considered to be derived from them. Systems in which length (L), time (T), and mass (M) are taken as fundamental quantities are called absolute systems. In an absolute system force is a derived quantity whose dimensions are defined by Newton's second law of motionmotion,
the change of position of one body with respect to another. The rate of change is the speed of the body. If the direction of motion is also given, then the velocity of the body is determined; velocity is a vector quantity, having both magnitude and direction, while speed
as ML/T2, in terms of the fundamental quantities. Pressure (force per unit area) then has dimensions M/LT2; work or energy (force times distance) has dimensions ML2/T2; and power (energy per unit time) has dimensions ML2/T3. Additional fundamental quantities are also defined, such as electric charge and luminous intensity. The expression of any particular quantity in terms of fundamental quantities is known as dimensional analysis and often provides physical insight into the results of a mathematical calculation.

## dimension,

in mathematics, number of parameters or coordinates required locally to describe points in a mathematical object (usually geometric in character). For example, the space we inhabit is three-dimensional, a plane or surface is two-dimensional, a line or curve is one-dimensional, and a point is zero-dimensional. By means of a coordinate system one can specify any point with respect to a chosen origin (and coordinate axes through the origin, in the case of two or more dimensions). Thus, a point on a line is specified by a number x giving its distance from the origin, with one direction chosen as positive and the other as negative; a point on a plane is specified by an ordered pair of numbers (x,y) giving its distances from the two coordinate axes; a point in space is specified by an ordered triple of numbers (x,y,z) giving its distances from three coordinate axes. Mathematicians are thus led by analogy to define an ordered set of four, five, or more numbers as representing a point in what they define as a space of four, five, or more dimensions. Although such spaces cannot be visualized, they may nevertheless by physically significant. For example, the quadruple of numbers (x,y,z,t), where t represents time, is sometimes interpreted as a point in four-dimensional space-time (see relativityrelativity,
physical theory, introduced by Albert Einstein, that discards the concept of absolute motion and instead treats only relative motion between two systems or frames of reference.
). The state of the weather or the economy, in current models, is a point in a many-dimensional space. Many features of plane and solid Euclidean geometry have mathematical analogues in higher dimensional spaces.

## Dimension

The measured distance between two points, which when shown on a drawing is to become the precise distance between two points in a building.

## Dimension

The dimension of a geometric figure is equal to one if the figure is a curve, two if the figure is a surface, and three if the figure is a solid. From the standpoint of analytic geometry, the dimension of a figure is equal to the number of coordinates needed to determine the position of a point on the figure. For example, the position of a point on a curve can be determined by a single coordinate, that of a point on a surface by two coordinates, and that of a point in three-dimensional space by three coordinates.

Until the mid-19th century, geometry dealt only with figures of three or less dimensions. With, however, the development of the concept of a multidimensional space, geometry began studying figures of any dimension. The simplest figures of dimension m are m-dimensional manifolds. An m-dimensional manifold in n-dimensional space is determined by n - m equations. For example, a curve, or one-dimensional manifold, is defined in three-dimensional space by 3 – 1 = 2 equations. The position of a point on an m-dimensional manifold is determined by what are called curvilinear coordinates. Thus, the position of a point on a sphere is determined by the point’s “geographic coordinates,” or latitude and longitude. The position of a point on a torus is defined in an analogous manner.

The above statements are valid only under certain restrictive assumptions. A truly general definition of the dimension of any closed bounded set lying in n-dimensional Euclidean space was given by P. S. Urysohn: the dimension of such a set is less than or equal to m if and only if the set admits of an ε-cover, for any ε > 0, by closed sets of multiplicity at most n + 1. This general definition of dimension can be extended in a natural way to extremely broad classes of topological spaces. In 1921, Urysohn constructed dimension theory, one of the most profound theories of modern topology. The further development of dimension theory has been due primarily to such Soviet mathematicians as P. S. Aleksandrov and L. S. Pontriagin.

### REFERENCE

Aleksandrov, P. S., and B. A. Pasynkov. Vvedenie v teoriiu razmernosti. Moscow, 1973.

## dimension

[də′men·chən]
(computer science)
A declarative statement that specifies the width and height of an array of data items.
(graphic arts)
In a mechanical drawing, a labeled measure in a straight line of the breadth, height, or thickness of a part, the angular position of a line, or the location of a detail such as a hole or boss.
(mathematics)
The number of coordinates required to label the points of a geometrical object.
For a vector space, the number of vectors in any basis of the vector space.
For a simplex, one less than the number of vertices of the simplex.
For a simplicial complex, the largest of the dimensions of the simplices that make up the complex.
The length of one of the sides of a rectangle.
The length of one of the edges of a rectangular parallelepiped.

## dimension

A geometric element in design, such as length, angle, or the magnitude of a quantity.

## dimension

1. Maths the number of coordinates required to locate a point in space
2. Physics
a. the product or the quotient of the fundamental physical quantities (such as mass, length, or time) raised to the appropriate power in a derived physical quantity
b. the power to which such a fundamental quantity has to be raised in a derived quantity

## dimension

(1) See dimension table.

(2) One axis in an array. In programming, a dimension statement defines the array and sets up the number of elements within the dimensions.
References in periodicals archive ?
It is seen that 2-dimensional superintegrable Hamiltonian (48) is the same as (21).
According to Cannon algorithm, our high-performance computing system is a computer cluster of 2-dimensional grid which consists of p x p computers.
Let [OMEGA] be the 2-dimensional whole space [R.sup.2].
Students in the Didactic Group viewed randomly selected 2-dimensional images for 3 sessions of 15 minutes each to also practice identification and documentation of dental conditions.
Select 8 key points from each eye; their 2-dimensional coordinates ([x.sub.2,k],[y.sub.2,k]), k = 1,...,16, work together to form a 32-dimensional feature vector [[??].sup.2] = ([x.sub.2,1], [y.sub.2,1],[x.sub.2,2],[y.sub.2,2],...,[x.sub.2,16],[y.sub.2,16]).
Then, due to the volume conservation, the thickness of the patch is inversely proportional to the surface area of its edge in 3-dimensional geometry, and to the side length in the case of 2-dimensional geometry.
Techniques available to create 3D CAD models include laser scanning of objects and software reconstruction of 3D CADs from 2-dimensional digital photographs or computed tomography/magnetic resonance imaging images.
For example, we take the following 2-dimensional points an embedded:
According to Protea, its LAESI system is a next generation molecular imaging platform that directly analyses biological samples without the need to apply chemicals or introduce tags or tracers and enables 2-dimensional and 3-dimensional imaging, displaying the distribution of molecules in the samples.
The paradigm shift away from traditional 2-dimensional engineering drawings to communicate design intent, and the move toward paperless processes in manufacturing through the use of Model-Based Definition (MBD) and Model-Based Enterprise (MBE) best practices, enables substantial cost- savings and new efficiencies within design and manufacturing operations.
For example, for the 2-dimensional Cartesian complex represented in figure 4, the subcomplex {([e.sub.i], [e.sub.j]), ([e.sub.k], [e.sub.l])}, ([e.sub.i], [e.sub.j]) [not equal to] ([e.sub.k], [e.sub.l]), 0 [less than or equal to] i [less than or equal to] 6, 0 [less than or equal to] j [less than or equal to] 4, 0 [less than or equal to] k [less than or equal to] 6, 0 [less than or equal to] l, [less than or equal to] 4 is a 0-dimensional sphere and the subcomplex {([e.sub.2i+1], [e.sub.2j+1])}, 0 [less than or equal to] i [less than or equal to] 3, 0 [less than or equal to] j [less than or equal to] is a 2-dimensional open ball.
The output of the 2-Dimensional discrete wavelet transform is in the form of sub-windows of m x n arrays.

Site: Follow: Share:
Open / Close