The Plücker matrix is a special skew-symmetric 4 × 4 matrix, which characterizes a straight line in projective space. The matrix is defined by 6 Plücker coordinates with 4 degrees of freedom. It is named after the German mathematician Julius Plücker.

Definition

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A straight line in space is defined by two distinct points   and   in homogeneous coordinates of the projective space. Its Plücker matrix is:

 

Where the skew-symmetric  -matrix is defined by the 6 Plücker coordinates

 

with

 

Plücker coordinates fulfill the Grassmann–Plücker relations

 

and are defined up to scale. A Plücker matrix has only rank 2 and four degrees of freedom (just like lines in  ). They are independent of a particular choice of the points   and   and can be seen as a generalization of the line equation i.e. of the cross product for both the intersection (meet) of two lines, as well as the joining line of two points in the projective plane.

Properties

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The Plücker matrix allows us to express the following geometric operations as matrix-vector product:

  • Plane contains line:  
  •   is the point of intersection of the line   and the plane   ('Meet')
  • Point lies on line:  
  •   is the common plane  , which contains both the point   and the line   ('Join').
  • Direction of a line:   (Note: The latter can be interpreted as a plane orthogonal to the line passing through the coordinate origin)
  • Closest point to the origin  

Uniqueness

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Two arbitrary distinct points on the line can be written as a linear combination of   and  :

 

Their Plücker matrix is thus:

 

up to scale identical to  .

Intersection with a plane

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The meet of a plane and a line in projective three-space as expressed by multiplication with the Plücker matrix

Let   denote the plane with the equation

 

which does not contain the line  . Then, the matrix-vector product with the Plücker matrix describes a point

 

which lies on the line   because it is a linear combination of   and  .   is also contained in the plane  

 

and must therefore be their point of intersection.

In addition, the product of the Plücker matrix with a plane is the zero-vector, exactly if the line   is contained entirely in the plane:

  contains  

Dual Plücker matrix

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The join of a point and a line in projective three-space as expressed by multiplication with the Plücker matrix

In projective three-space, both points and planes have the same representation as 4-vectors and the algebraic description of their geometric relationship (point lies on plane) is symmetric. By interchanging the terms plane and point in a theorem, one obtains a dual theorem which is also true.

In case of the Plücker matrix, there exists a dual representation of the line in space as the intersection of two planes:

 

and

 

in homogeneous coordinates of projective space. Their Plücker matrix is:

 

and

 

describes the plane   which contains both the point   and the line  .

Relationship between primal and dual Plücker matrices

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As the vector  , with an arbitrary plane  , is either the zero-vector or a point on the line, it follows:

 

Thus:

 

The following product fulfills these properties:

 

due to the Grassmann–Plücker relation. With the uniqueness of Plücker matrices up to scalar multiples, for the primal Plücker coordinates

 

we obtain the following dual Plücker coordinates:

 

In the projective plane

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Duality of join and meet operations in two-space.

The 'join' of two points in the projective plane is the operation of connecting two points with a straight line. Its line equation can be computed using the cross product:

 

Dually, one can express the 'meet', or intersection of two straight lines by the cross-product:

 

The relationship to Plücker matrices becomes evident, if one writes the cross product as a matrix-vector product with a skew-symmetric matrix:

 

and analogously  

Geometric interpretation

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Let   and  , then we can write

 

and

 [citation needed]

where   is the displacement and   is the moment of the line, compare the geometric intuition of Plücker coordinates.

References

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  • Richter-Gebert, Jürgen (2011). Perspectives on Projective Geometry: A Guided Tour Through Real and Complex Projective Geometry. Springer Science & Business Media. ISBN 978-3-642-17286-1.
  • Jorge Stolfi (1991). Oriented Projective Geometry: A Framework for Geometric Computations. Academic Press. ISBN 978-1483247045.
    From original Stanford University 1988 Ph.D. dissertation, Primitives for Computational Geometry, available as [1].
  • Blinn, James F. (Aug 1977). "A homogeneous formulation for lines in 3 space". ACM SIGGRAPH Computer Graphics. 11 (2): 237–241. doi:10.1145/965141.563900. ISSN 0097-8930.