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Theory

Lines and planes in space

Equations of planes and lines in space, relative positions, angles, distances, orthogonal projections, pencils of planes, and the line of minimum distance between two skew lines.

On this page
  1. The plane: Cartesian equation and normal vector
  2. The line: parametric and Cartesian equations

The plane: Cartesian equation and normal vector

1. Plane through a point orthogonal to a vector

Let be a point in space and a nonzero vector. The plane through orthogonal to is the set of points for which the vector is orthogonal to :

The vector is called a normal vector to the plane. A plane is therefore determined by a point and an orthogonal direction; since the condition does not change when is multiplied by a nonzero number, the normal vector is defined up to a factor. For the dot product and orthogonality, see the topic on vectors.

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Section by the plane of the plane , with normal vector : the vector with is orthogonal to , while for the point off the plane

2. Cartesian equation of the plane

Every plane in space is the solution set of an equation

and the vector is normal to the plane. Conversely, every equation of this kind represents a plane with normal vector . The components of a normal vector can therefore be read off the equation, and a point and a normal vector are enough to write the equation. The plane through with has equation , that is, .

Proof

Let be the plane through orthogonal to . Writing the dot product in components, the condition becomes

that is, with . Conversely, let the equation be given with and suppose, for example, . The point satisfies the equation, hence with . Substituting this expression for , the equation becomes , which is the condition ; therefore the solutions form the plane through orthogonal to . If , the same argument works with whichever of and is nonzero.

Plane through three points

Three non-collinear points , , determine a unique plane. The vectors and are parallel to the plane and not parallel to each other, so their cross product is a normal vector:

Equivalently, the point lies in the plane if and only if the vectors , , are coplanar, that is, if and only if their scalar triple product is zero:

For , , we have , so the plane is . Dividing by gives , a form in which the intercepts of the plane with the three axes can be read off.

3. Parametric equations of the plane

Let be a point and , two non-parallel vectors. The plane through parallel to and to is described by the parametric equations

Passing to Cartesian form requires a normal vector, which is . The reverse passage consists in solving the Cartesian equation, which has two free unknowns. For the plane we set , and obtain , hence .

The line: parametric and Cartesian equations

1. Parametric equations of the line

Let be a point and a nonzero vector. The line through parallel to is the set of points for , that is, of the points whose coordinates satisfy

The vector is called a direction vector of the line and its components are called direction numbers; like the normal vector of a plane, the direction vector is defined up to a nonzero factor. The line through two distinct points and has direction vector .

Example

The line through with direction vector has parametric equations , , . The point belongs to the line, because it is obtained for . The point does not belong to the line, because the first two equations give while the third gives .

2. Cartesian equations of the line

A line is the intersection of two non-parallel planes, so it is described by the system

The two equations are called Cartesian equations of the line. The rank condition says that the normal vectors and are not parallel; by the Rouché-Capelli theorem the system then has solutions, which form a line. The Cartesian equations of a line are not unique, because any pair of distinct planes containing it represents it; the set of all these planes is the pencil of planes having the line as its axis.

Passing between the two forms

  • From parametric to Cartesian: solve for in an equation where its coefficient is nonzero and substitute it into the other two. For the line of the previous example, gives and , so the Cartesian equations are
  • From Cartesian to parametric: solve the system choosing a free unknown as parameter, or compute a point and a direction vector. The line lies in both planes, so its direction vector is orthogonal to and to , and one can take

For the line with equations and we obtain , parallel to . Adding the two equations gives , hence and ; a point of the line is and the parametric equations are , , .

The theory continues with 7 more sections (relative positions of two planes and of a line and a plane, relative positions of two lines, angles between lines and planes…), plus all worked examples, the solutions and the PDF.

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