In mathematics, a **plane** is a flat, two-dimensional surface that extends infinitely far. A plane is the two-dimensional analogue of a point (zero dimensions), a line (one dimension) and three-dimensional space. Planes can arise as subspaces of some higher-dimensional space, as with a room's walls extended infinitely far, or they may enjoy an independent existence in their own right, as in the setting of Euclidean geometry.

## Contents

- Euclidean geometry
- Planes embedded in 3 dimensional Euclidean space
- Determination by contained points and lines
- Properties
- Point normal form and general form of the equation of a plane
- Describing a plane with a point and two vectors lying on it
- Describing a plane through three points
- Method 1
- Method 2
- Method 3
- Distance from a point to a plane
- Line of intersection between two planes
- Dihedral angle
- Planes in various areas of mathematics
- Topological and differential geometric notions
- References

When working exclusively in two-dimensional Euclidean space, the definite article is used, so, *the* plane refers to the whole space. Many fundamental tasks in mathematics, geometry, trigonometry, graph theory and graphing are performed in a two-dimensional space, or in other words, in the plane.

## Euclidean geometry

Euclid set forth the first great landmark of mathematical thought, an axiomatic treatment of geometry. He selected a small core of undefined terms (called *common notions*) and postulates (or axioms) which he then used to prove various geometrical statements. Although the plane in its modern sense is not directly given a definition anywhere in the *Elements*, it may be thought of as part of the common notions. In his work Euclid never makes use of numbers to measure length, angle, or area. In this way the Euclidean plane is not quite the same as the Cartesian plane.

## Planes embedded in 3-dimensional Euclidean space

This section is solely concerned with planes embedded in three dimensions: specifically, in **R**^{3}.

## Determination by contained points and lines

In a Euclidean space of any number of dimensions, a plane is uniquely determined by any of the following:

## Properties

The following statements hold in three-dimensional Euclidean space but not in higher dimensions, though they have higher-dimensional analogues:

## Point-normal form and general form of the equation of a plane

In a manner analogous to the way lines in a two-dimensional space are described using a point-slope form for their equations, planes in a three dimensional space have a natural description using a point in the plane and a vector orthogonal to it (the normal vector) to indicate its "inclination".

Specifically, let **r**_{0} be the position vector of some point *P*_{0} = (*x*_{0}, *y*_{0}, *z*_{0}), and let * n* = (

*a*,

*b*,

*c*) be a nonzero vector. The plane determined by the point

*P*

_{0}and the vector

**n**consists of those points

*P*, with position vector

**r**, such that the vector drawn from

*P*

_{0}to

*P*is perpendicular to

**n**. Recalling that two vectors are perpendicular if and only if their dot product is zero, it follows that the desired plane can be described as the set of all points

**r**such that

(The dot here means a dot product, not scalar multiplication.) Expanded this becomes

which is the *point-normal* form of the equation of a plane. This is just a linear equation

where

Conversely, it is easily shown that if *a*, *b*, *c* and *d* are constants and *a*, *b*, and *c* are not all zero, then the graph of the equation

is a plane having the vector * n* = (

*a*,

*b*,

*c*) as a normal. This familiar equation for a plane is called the

*general form*of the equation of the plane.

Thus for example a regression equation of the form *y* = *d* + *ax* + *cz* (with *b* = −1) establishes a best-fit plane in three-dimensional space when there are two explanatory variables.

## Describing a plane with a point and two vectors lying on it

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, **v** and **w** are given linearly independent vectors defining the plane, and **r**_{0} is the vector representing the position of an arbitrary (but fixed) point on the plane. The vectors **v** and **w** can be visualized as vectors starting at **r**_{0} and pointing in different directions along the plane. Note that **v** and **w** can be perpendicular, but cannot be parallel.

## Describing a plane through three points

Let **p**_{1}=(x_{1}, y_{1}, z_{1}), **p**_{2}=(x_{2}, y_{2}, z_{2}), and **p**_{3}=(x_{3}, y_{3}, z_{3}) be non-collinear points.

## Method 1

The plane passing through **p**_{1}, **p**_{2}, and **p**_{3} can be described as the set of all points (x,y,z) that satisfy the following determinant equations:

## Method 2

To describe the plane by an equation of the form

This system can be solved using Cramer's Rule and basic matrix manipulations. Let

If *D* is non-zero (so for planes not through the origin) the values for *a*, *b* and *c* can be calculated as follows:

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.

## Method 3

This plane can also be described by the "point and a normal vector" prescription above. A suitable normal vector is given by the cross product

and the point **r**_{0} can be taken to be any of the given points **p**_{1},**p**_{2} or **p**_{3}.

## Distance from a point to a plane

For a plane

It follows that *D=0*.

If *a*, *b*, and *c* are normalized then the equation becomes

Another vector form for the equation of a plane, known as the Hesse normal form relies on the parameter *D*. This form is:

where *D*_{0} the distance of the plane from the origin.

The general formula for higher dimensions can be quickly arrived at using vector notation. Let the hyperplane have equation

## Line of intersection between two planes

The line of intersection between two planes

where

This is found by noticing that the line must be perpendicular to both plane normals, and so parallel to their cross product

The remainder of the expression is arrived at by finding an arbitrary point on the line. To do so, consider that any point in space may be written as

If we further assume that

## Dihedral angle

Given two intersecting planes described by

## Planes in various 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 idealized 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 neighborhood 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 collinearity 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 are two spatial dimensions and one time dimension. (The hyperbolic plane is a timelike hypersurface in three-dimensional Minkowski space.)

## Topological and differential geometric notions

The one-point compactification of the plane is homeomorphic to a sphere (see stereographic projection); the open disk is homeomorphic to a sphere with the "north pole" missing; adding that point completes the (compact) sphere. The result of this compactification is a manifold referred to as the Riemann sphere or the complex projective line. The projection from the Euclidean plane to a sphere without a point is a diffeomorphism and even a conformal map.

The plane itself is homeomorphic (and diffeomorphic) to an open disk. For the hyperbolic plane such diffeomorphism is conformal, but for the Euclidean plane it is not.