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A or (or simply "plane", in lay use) is a planar surface region; it is analogous to a line segment.A bivector is an oriented plane segment, analogous to directed line segments.A face is a plane segment bounding a solid object.[1] A slab is a region bounded by two parallel planes.A parallelepiped is a region bounded by three pairs of parallel planes.
A plane serves as a mathematical model for many physical phenomena, such as specular reflection in a plane mirror or wavefronts in a traveling plane wave.The free surface of undisturbed liquids tends to be nearly flat (see flatness).The flattest surface ever manufactured is a quantum-stabilized atom mirror.[2] In astronomy, various reference planes are used to define positions in orbit.Anatomical planes may be lateral ("sagittal"), frontal ("coronal") or transversal.In geology, beds (layers of sediments) often are planar.Planes are involved in different forms of imaging, such as the focal plane, picture plane, and image plane.
See main article: 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. Euclid never used numbers to measure length, angle, or area. The Euclidean plane equipped with a chosen Cartesian coordinate system is called a Cartesian plane; a non-Cartesian Euclidean plane equipped with a polar coordinate system would be called a polar plane.
A plane is a ruled surface.
This section is solely concerned with planes embedded in three dimensions: specifically, in .
In a Euclidean space of any number of dimensions, a plane is uniquely determined by any of the following:
The following statements hold in three-dimensional Euclidean space but not in higher dimensions, though they have higher-dimensional analogues:
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 be the position vector of some point, and let be a nonzero vector. The plane determined by the point and the vector consists of those points, with position vector, such that the vector drawn from to is perpendicular to . 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 such thatThe dot here means a dot (scalar) product.
Expanded this becomeswhich is the point–normal form of the equation of a plane. This is just a linear equationwherewhich is the expanded form of
-\boldsymbol{n} ⋅ \boldsymbol{r}0.
In mathematics it is a common convention to express the normal as a unit vector, but the above argument holds for a normal vector of any non-zero length.
Conversely, it is easily shown that if,,, and are constants and,, and are not all zero, then the graph of the equationis a plane having the vector 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 (with) establishes a best-fit plane in three-dimensional space when there are two explanatory variables.
Alternatively, a plane may be described parametrically as the set of all points of the form
where and range over all real numbers, and are given linearly independent vectors defining the plane, and is the vector representing the position of an arbitrary (but fixed) point on the plane. The vectors and can be visualized as vectors starting at and pointing in different directions along the plane. The vectors and can be perpendicular, but cannot be parallel.
Let,, and be non-collinear points.
The plane passing through,, and can be described as the set of all points (x,y,z) that satisfy the following determinant equations:
To describe the plane by an equation of the form
ax+by+cz+d=0
This system can be solved using Cramer's rule and basic matrix manipulations. Let
If is non-zero (so for planes not through the origin) the values for, and 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.
This plane can also be described by the "point and a normal vector" prescription above. A suitable normal vector is given by the cross productand the point can be taken to be any of the given points, or (or any other point in the plane).