Line–line intersection
[Image:Line-Line Intersection.png|400px|thumb|right|Two intersecting lines]
In Euclidean geometry, the intersection of a line and a line can be the empty set, a single point, or a line. Distinguishing these cases and finding the intersection have uses, for example, in computer graphics, motion planning, and collision detection.
In a Euclidean space, if two lines are not coplanar, they have no point of intersection and are called skew lines. If they are coplanar, however, there are three possibilities: if they coincide, they have all of their infinitely many points in common; if they are distinct but have the same direction, they are said to be parallel and have no points in common; otherwise, they have a single point of intersection, denoted as singleton set, for instance.
Non-Euclidean geometry describes spaces in which one line may not be parallel to any other lines, such as a sphere, and spaces where multiple lines through a single point may all be parallel to another line. In spherical and elliptic geometries, every pair of lines intersects, while in hyperbolic geometry there exist infinitely many distinct lines through a given point that do not intersect a given line. Projective geometry provides a unifying framework in which these different behaviors can be described by extending the notion of intersection to include ideal points, so that any two distinct lines intersect in exactly one point.
Formulas
A necessary condition for two lines to intersect is that they are in the same plane—that is, are not skew lines. Satisfaction of this condition is equivalent to the tetrahedron with vertices at two of the points on one line and two of the points on the other line being degenerate in the sense of having zero volume. For the algebraic form of this condition, see.Given two points on each line
First we consider the intersection of two lines and in two-dimensional space, with line being defined by two distinct points and, and line being defined by two distinct points and.The intersection of line and can be defined using determinants.
The determinants can be written out as:
When the two lines are parallel or coincident, the denominator is zero.
Given two points on each line segment
The intersection point above is for the infinitely long lines defined by the points, rather than the line segments between the points, and can produce an intersection point not contained in either of the two line segments. In order to find the position of the intersection with respect to the line segments, we can define lines and in terms of first degree Bézier parameters:. The intersection point of the lines is found with one of the following values of or, where
and
with
There will be an intersection if and. The intersection point falls within the first line segment if, and it falls within the second line segment if. These inequalities can be tested without the need for division, allowing rapid determination of the existence of any line segment intersection before calculating its exact point.
In the case where the two line segments share an x axis and, and simplify to
with
Given two line equations
The and coordinates of the point of intersection of two non-vertical lines can easily be found using the following substitutions and rearrangements.Suppose that two lines have the equations and where and are the slopes of the lines and where and are the -intercepts of the lines. At the point where the two lines intersect, both coordinates will be the same, hence the following equality:
We can rearrange this expression in order to extract the value of,
and so,
To find the coordinate, all we need to do is substitute the value of into either one of the two line equations, for example, into the first:
Hence, the point of intersection is
Note that if then the two lines are parallel and they do not intersect, unless as well, in which case the lines are coincident and they intersect at every point.
Using homogeneous coordinates
By using homogeneous coordinates, the intersection point of two implicitly defined lines can be determined quite easily. In 2D, every point can be defined as a projection of a 3D point, given as the ordered triple. The mapping from 3D to 2D coordinates is. We can convert 2D points to homogeneous coordinates by defining them as.Assume that we want to find intersection of two infinite lines in 2-dimensional space, defined as and. We can represent these two lines in line coordinates as and. The intersection of two lines is then simply given by
If, the lines do not intersect.
More than two lines
The intersection of two lines can be generalized to involve additional lines. The existence of and expression for the -line intersection problem are as follows.In two dimensions
In two dimensions, more than two lines almost certainly do not intersect at a single point. To determine if they do and, if so, to find the intersection point, write the th equation asand stack these equations into matrix form as
where the th row of the matrix is, is the 2 × 1 vector, and the th element of the column vector is. If has independent columns, its rank is 2. Then if and only if the rank of the augmented matrix is also 2, there exists a solution of the matrix equation and thus an intersection point of the lines. The intersection point, if it exists, is given by
where is the Moore–Penrose generalized inverse of . Alternatively, the solution can be found by jointly solving any two independent equations. But if the rank of is only 1, then if the rank of the augmented matrix is 2 there is no solution but if its rank is 1 then all of the lines coincide with each other.
In three dimensions
The above approach can be readily extended to three dimensions. In three or more dimensions, even two lines almost certainly do not intersect; pairs of non-parallel lines that do not intersect are called skew lines. But if an intersection does exist it can be found, as follows.In three dimensions a line is represented by the intersection of two planes, each of which has an equation of the form
Thus a set of lines can be represented by equations in the 3-dimensional coordinate vector :
where now is and is. As before there is a unique intersection point if and only if has full column rank and the augmented matrix does not, and the unique intersection if it exists is given by
Nearest points to skew lines
In two or more dimensions, we can usually find a point that is mutually closest to two or more lines in a least-squares sense.In two dimensions
In the two-dimensional case, first, represent line as a point on the line and a unit normal vector, perpendicular to that line. That is, if and are points on line 1, then let and letwhich is the unit vector along the line, rotated by a right angle.
The distance from a point to the line is given by
And so the squared distance from a point to a line is
The sum of squared distances to many lines is the cost function:
This can be rearranged:
To find the minimum, we differentiate with respect to and set the result equal to the zero vector:
so
and so
In more than two dimensions
While is not well-defined in more than two dimensions, this can be generalized to any number of dimensions by noting that is simply the symmetric matrix with all eigenvalues unity except for a zero eigenvalue in the direction along the line providing a seminorm on the distance between and another point giving the distance to the line. In any number of dimensions, if is a unit vector along the th line, thenwhere is the identity matrix, and so
General derivation
In order to find the intersection point of a set of lines, we calculate the point with minimum distance to them. Each line is defined by an origin and a unit direction vector. The square of the distance from a point to one of the lines is given from Pythagoras:where is the projection of on line. The sum of distances to the square to all lines is
To minimize this expression, we differentiate it with respect to.
which results in
where is the identity matrix. This is a matrix, with solution, where is the pseudo-inverse of.
Non-Euclidean geometry
In spherical geometry, lines are represented by great circles, defined as the intersections of a sphere with planes through the origin.Two great circles lying in planes with unit normal vectors and intersect at two antipodal points, which can be expressed by
Every pair of lines intersects in two antipodal points, so there are no parallel lines in spherical geometry.
In elliptic geometry, the space may be regarded as a quotient of spherical geometry in which antipodal points are identified. Lines in this geometry correspond to great circles with antipodal points considered equivalent, so each pair of lines intersects in exactly one point. Unlike spherical geometry, this identification eliminates the distinction between the two intersection points, producing a finite but unbounded space without parallel lines.
In hyperbolic geometry, line–line intersection behavior differs from that of Euclidean and positively curved geometries. Given a line and a point, there exist infinitely many distinct lines through that do not intersect. Two lines may intersect in exactly one point, be asymptotically parallel, or be ultraparallel. This behavior reflects the constant negative Gaussian curvature of hyperbolic space and the failure of the Euclidean parallel postulate. Line–line intersection is therefore not guaranteed and depends on the incidence relations of the geometry rather than on metric distance alone.
In projective geometry, any two distinct lines intersect in exactly one point by construction. This is achieved by adjoining ideal points, so that parallel lines in Euclidean geometry meet at a single projective point. Lines are modeled as one-dimensional projective subspaces, and incidence relations are fundamental, while notions of distance, angle, and curvature are not. Projective geometry thus provides a unifying framework in which Euclidean, elliptic, and hyperbolic geometries can be studied via appropriate projective models.