Orthogonality and Singularity
A symmetric bilinear form is always reflexive. Two vectors v and w are defined to be orthogonal with respect to the bilinear form B if, which is, due to reflexivity, equivalent with
The radical of a bilinear form B is the set of vectors orthogonal with every other vector in V. One easily checks that this is a subspace of V. When working with a matrix representation A with respect to a certain basis, v, represented by x, is in the radical if and only if
The matrix A is singular if and only if the radical is nontrivial.
If W is a subset of V, then the orthogonal complement is the set of all vectors orthogonal with every vector in W: it is a subspace of V. When B is non-degenerate, so that the radical of B is trivial, the dimension of = dim(V) − dim(W).
Read more about this topic: Symmetric Bilinear Form
Famous quotes containing the word singularity:
“Losing faith in your own singularity is the start of wisdom, I suppose; also the first announcement of death.”
—Peter Conrad (b. 1948)