Information about Plane (mathematics)
This article is about the mathematical construct. For other uses, see Plane.
In mathematics, a plane is a two-dimensional manifold or surface that is perfectly flat. Informally it can be thought of as an infinitely vast and infinitesimally thin sheet oriented in some space.
When working in two-dimensional Euclidean space, the definite article is used, the plane, to refer to the whole space. Many fundamental tasks in geometry, trigonometry, and graphing are performed in two-dimensional space, or in other words, in the plane. A lot of mathematics can be and has been performed in the plane, notably in the areas of geometry, trigonometry, graph theory and graphing.
Euclidean geometry
In Euclidean space a plane is a surface such that, given any two distinct points on the surface, the surface also contains the unique straight line that passes through those points.The fundamental structure of two such planes will always be the same. In mathematics this is described as topological equivalence. Informally though, it means that any two planes look the same.
A plane can be uniquely determined by any of the following (sets of) objects:
- three non-collinear points (ie. not lying on the same line)
- a line and a point not on the line
- two lines with one point of intersection
- two parallel lines
Planes embedded in ℝ3
This section is specifically concerned with planes embedded in three dimensions: specifically, in ℝ3.Properties
In three-dimensional Euclidean space, we may exploit the following facts that do not hold in higher dimensions:- Two planes are either parallel or they intersect in a line.
- A line is either parallel to a plane or intersects it at a single point or is contained in the plane.
- Two lines normal (perpendicular) to the same plane must be parallel to each other.
- Two planes normal to the same line must be parallel to each other.
Define a plane with a point and a normal vector
In a three-dimensional space, another important way of defining a plane is by specifying a point and a normal vector to the plane.Let
be the point we wish to lie in the plane, and let
be a nonzero normal vector to the plane. The desired plane is the set of all points
such that
If we write
,
and d as the dot product
,
then the plane
is determined by the condition
, where a, b, c and d are real numbers and a,b, and c are not all zero.
Alternatively, a plane may be described parametrically as the set of all points of the form
where s and t range over all real numbers, and
,
and
are given vectors defining the plane.
points from the origin to an arbitrary point on the plane, and
and
can be visualized as starting at
and pointing in different directions along the plane.
and
can, but do not have to be perpendicular.
Define a plane through three points
- The plane passing through three points
,
and
can be defined as the set of all points (x,y,z) that satisfy the following determinant equations:
- To describe the plane as an equation in the form
, solve the following system of equations:
.
This system can be solved using Cramer's Rule and basic matrix manipulations. Let
. Then,
.
These equations are parametric in d. Setting d equal to any non-zero number and substituting it into these equations will yield one solution set.
- This plane can also be described by the "point and a normal vector" prescription above.
and the point
can be taken to be any of given points
or
.
Distance from a point to a plane
For a plane
and a point
not necessarily lying on the plane, the shortest distance from
to the plane is
It follows that
lies in the plane if and only if D=0.
If
meaning that a, b and c are normalized then the equation becomes
Line of intersection between two planes
Given intersecting planes described by
and
, the line of intersection is perpendicular to both
and
and thus parallel to
.
If we further assume that
and
are orthonormal then the closest point on the line of intersection to the origin is
.
Dihedral angle
Given two intersecting planes described by
and
, the dihedral angle between them is defined to be the angle
between their normal directions:
The plane areas of mathematics
In addition to its familiar geometric structure, with isomorphisms that are isometries with respect to the usual inner product, the plane may be viewed at various other levels of abstraction. Each level of abstraction corresponds to a specific category.At one extreme, all geometrical and metric concepts may be dropped to leave the topological plane, which may be thought of as an idealised homotopically trivial infinite rubber sheet, which retains a notion of proximity, but has no distances. The topological plane has a concept of a linear path, but no concept of a straight line. The topological plane, or its equivalent the open disc, is the basic topological neighbourhood used to construct surfaces (or 2-manifolds) classified in low-dimensional topology. Isomorphisms of the topological plane are all continuous bijections. The topological plane is the natural context for the branch of graph theory that deals with planar graphs, and results such as the four color theorem.
The plane may also be viewed as an affine space, whose isomorphisms are combinations of translations and non-singular linear maps. From this viewpoint there are no distances, but colinearity and ratios of distances on any line are preserved.
Differential geometry views a plane as a 2-dimensional real manifold, a topological plane which is provided with a differential structure. Again in this case, there is no notion of distance, but there is now a concept of smoothness of maps, for example a differentiable or smooth path (depending on the type of differential structure applied). The isomorphisms in this case are bijections with the chosen degree of differentiability.
In the opposite direction of abstraction, we may apply a compatible field structure to the geometric plane, giving rise to the complex plane and the major area of complex analysis. The complex field has only two isomorphisms that leave the real line fixed, the identity and conjugation.
In the same way as in the real case, the plane may also be viewed as the simplest, one-dimensional (over the complex numbers) complex manifold, sometimes called the complex line. However, this viewpoint contrasts sharply with the case of the plane as a 2-dimensional real manifold. The isomorphisms are all conformal bijections of the complex plane, but the only possibilities are maps that correspond to the composition of a multiplication by a complex number and a translation.
In addition, the Euclidean geometry (which has zero curvature everywhere) is not the only geometry that the plane may have. The plane may be given a spherical geometry by using the stereographic projection. This can be thought of as placing a sphere on the plane (just like a ball on the floor), removing the top point, and projecting the sphere onto the plane from this point). This is one of the projections that may be used in making a flat map of part of the Earth's surface. The resulting geometry has constant positive curvature.
Alternatively, the plane can also be given a metric which gives it constant negative curvature giving the hyperbolic plane. The latter possibility finds an application in the theory of special relativity in the simplified case where there is one dimension of space and one of time.
See also
External link
Plane may refer to:
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- Short for aircraft or airplane, referred to by aircraft engineers as a fixed-wing aircraft
- Plane (mathematics), theoretical surface which has infinite width and length, zero thickness, and zero curvature
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Mathematics (colloquially, maths or math) is the body of knowledge centered on such concepts as quantity, structure, space, and change, and also the academic discipline that studies them. Benjamin Peirce called it "the science that draws necessary conclusions".
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dimension (Latin, "measured out") is a parameter or measurement required to define the characteristics of an object—i.e., length, width, and height or size and shape.
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manifold is an abstract mathematical space in which every point has a neighborhood which resembles Euclidean space, but in which the global structure may be more complicated. In discussing manifolds, the idea of dimension is important.
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surface is a two-dimensional manifold. The most familiar examples are those that arise as the boundaries of solid objects in ordinary three-dimensional Euclidean space, E³.
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In mathematics, curvature is any of a number of loosely related concepts in different areas of geometry. Intuitively, curvature is the amount by which a geometric object deviates from being flat, but this is defined in different ways depending on the context.
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The term SPACE (capitalized) can refer to:
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- , a Canadian science-fiction channel
- The Society for Promotion of Alternative Computing and Employment
- DSPACE, a term in computational complexity theory
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Geometry (Greek γεωμετρία; geo = earth, metria = measure) is a part of mathematics concerned with questions of size, shape, and relative position of figures and with properties of space. Geometry is one of the oldest sciences.
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Trigonometry (from Greek trigōnon "triangle" + metron "measure"[1]), informally called trig, is a branch of mathematics that deals with triangles, particularly triangles in a plane where one angle of the triangle is 90 degrees (right angled
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Geometry (Greek γεωμετρία; geo = earth, metria = measure) is a part of mathematics concerned with questions of size, shape, and relative position of figures and with properties of space. Geometry is one of the oldest sciences.
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Trigonometry (from Greek trigōnon "triangle" + metron "measure"[1]), informally called trig, is a branch of mathematics that deals with triangles, particularly triangles in a plane where one angle of the triangle is 90 degrees (right angled
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graph theory is the study of graphs; mathematical structures used to model pairwise relations between objects from a certain collection. A "graph" in this context refers to a collection of vertices or 'nodes' and a collection of edges
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graph of a function f is the collection of all ordered pairs (x,f(x)). In particular, graph means the graphical representation of this collection, in the form of a curve or surface, together with axes, etc.
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Euclidean space. Most of this article is devoted to developing the modern language necessary for the conceptual leap to higher dimensions.
An essential property of a Euclidean space is its flatness. Other spaces exist in geometry that are not Euclidean.
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An essential property of a Euclidean space is its flatness. Other spaces exist in geometry that are not Euclidean.
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surface is a two-dimensional manifold. The most familiar examples are those that arise as the boundaries of solid objects in ordinary three-dimensional Euclidean space, E³.
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line can be described as an ideal zero-width, infinitely long, perfectly straight curve (the term curve in mathematics includes "straight curves") containing an infinite number of points. In Euclidean geometry, exactly one line can be found that passes through any two points.
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Not to be confused with homomorphism.
- Topological equivalence redirects here; see also topological equivalence (dynamical systems).
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line can be described as an ideal zero-width, infinitely long, perfectly straight curve (the term curve in mathematics includes "straight curves") containing an infinite number of points. In Euclidean geometry, exactly one line can be found that passes through any two points.
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line can be described as an ideal zero-width, infinitely long, perfectly straight curve (the term curve in mathematics includes "straight curves") containing an infinite number of points. In Euclidean geometry, exactly one line can be found that passes through any two points.
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In mathematics, the Cartesian product is a direct product of sets. The Cartesian product is named after René Descartes, whose formulation of analytic geometry gave rise to this concept.
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perpendicular (or orthogonal) to each other if they form congruent adjacent angles. The term may be used as a noun or adjective. Thus, referring to Figure 1, the line AB is the perpendicular to CD through the point B.
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perpendicular (or orthogonal) to each other if they form congruent adjacent angles. The term may be used as a noun or adjective. Thus, referring to Figure 1, the line AB is the perpendicular to CD through the point B.
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perpendicular (or orthogonal) to each other if they form congruent adjacent angles. The term may be used as a noun or adjective. Thus, referring to Figure 1, the line AB is the perpendicular to CD through the point B.
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dot product, also known as the scalar product, is an operation which takes two vectors over the real numbers R and returns a real-valued scalar quantity. It is the standard inner product of the Euclidean space.
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In mathematics, the real numbers may be described informally as numbers that can be given by an infinite decimal representation, such as 2.4871773339…. The real numbers include both rational numbers, such as 42 and −23/129, and irrational numbers, such as π and
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spatial vector, or simply vector, is a concept characterized by a magnitude and a direction. A vector can be thought of as an arrow in Euclidean space, drawn from an initial point A pointing to a terminal point B.
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In algebra, a determinant is a function depending on n that associates a scalar, det(A), to every n×n square matrix A. The fundamental geometric meaning of a determinant is as the scale factor for volume when A
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Cramer's rule is a theorem in linear algebra, which gives the solution of a system of linear equations in terms of determinants. It is named after Gabriel Cramer (1704 - 1752).
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cross product is a binary operation on two vectors in a three-dimensional Euclidean space that results in another vector which is perpendicular to the two input vectors. By contrast, the dot product produces a scalar result.
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In linear algebra, two vectors in an inner product space are orthonormal if they are orthogonal (their inner product is 0) and both of unit length (the norm of each is 1). A set of vectors which is pairwise orthonormal (any two vectors in it are orthonormal) is called an
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