Let be a closed subspace of the Hilbert space and its orthogonal complement in . Then any vector can be decomposed into its components belonging to , respectively as follows:
:
'''Definition: The linear operator on such that '''
:
'''is said to be a ''projector'' on . '''
Having defined the operator such that
:
the latter is a projector on .
The [[operators]] and have the following properties:
# They are [[self-adjoint]];
# Their eigenspaces are and respectively corresponding to the eigenvalues respectively ;
# They have a complete set of eigenvectors and their descrete spectrum is ;
# They are idempotent, i.e. such that ;
# They are orthogonal to each other, i.e. such that .
We then have the following
'''Definition: The linear, bounded, self-adjoint, idempotent operators and on are projectors on the orthogonal subspaces and respectively.'''
These results can be generalized to the case of more than two projectors, as follows.
'''Definition: Let , with an arbitrary finite or countably infinite subset, be a set of projectors such that
:
:'''
'''then we will say that is a complete set of orthogonal projectors.'''
Each projector belongs to a closed subspace of the Hilbert space , and these subspaces give a complete orthogonal decomposition of :
:
From completeness it follows that , with , and therefore each component of in the subspace is given by the projection of in :
.
Moreover, if is a subset of , then the operator is a projector. In fact it can be easily verified that the following properties are satisfied:
# ;
# ;
# .
The closed subspace of on which projects is then .
[[Category:Linear Algebra]]
[[category:Handbook of Quantum Information]]