Linear Algebra and Its Applications · Problem 3.1.43
Orthogonality — Gilbert Strang
Mathematics · orthogonal-subspaces
Problem
If is the plane of vectors in satisfying , write a basis for . Construct a matrix that has as its nullspace.Intuitive explanation
The key insight is that consists of all vectors orthogonal to every vector in —and since is defined by a single linear constraint, is spanned by the normal vector to that constraint. Once you identify the normal, you can build a matrix whose rows are orthogonal to , making exactly its nullspace.
Intuitive explanation
The key insight is that consists of all vectors orthogonal to every vector in —and since is defined by a single linear constraint, is spanned by the normal vector to that constraint. Once you identify the normal, you can build a matrix whose rows are orthogonal to , making exactly its nullspace.