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Projection of a vector on a subspace
Projection of a vector on a subspace. Let L be a subspace of a vector space V.
Then for any x in V there exists a unique representation x = y + z where y
L and z
L. The
vector y is called the projection of vector x on subspace L. Vector y possesses the property that,
as compared to other vectors of L, it is at least distance from X. Vector z is a member of the
orthogonal complement M of subspace L. Thus we can say that every vector x of a vector
space can be represented as a sum of vectors from a subspace L and its orthogonal complement
M.
Example. Let V be three dimensional space, subspace L be any line through the origin, and x be any vector in V. Then M, the orthogonal complement of L, is a plane perpendicular to L passing through the origin, y is the projection of x on L, and z is the projection of x on M.