A projective subspace of is for a nonzero vector subspace . Its projective dimension is . Thus one-dimensional vector subspaces represent projective points, while two-dimensional vector subspaces give projective lines.
For example, in the linear equation defines a projective plane. Adding the independent equation leaves a projective line. A consistent homogeneous linear system therefore describes a projective subspace through the nonzero vectors in its linear solution space.
If two corresponding vector subspaces have zero intersection, their projectivizations are disjoint; otherwise their intersection is . The vector-space dimension formula explains why two projective lines in a plane always meet, whereas two lines in projective three-space can be skew. Nonlinear homogeneous equations instead define more general projective varieties.

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