The concept of partial isometry can be defined in other equivalent ways. If U is an isometric map defined on a closed subset H1 of a Hilbert space H then we can define an extension W of U to all of H by the condition that W be zero on the orthogonal complement of H1. Thus a partial isometry is also sometimes defined as a closed partially defined isometric map.
Partial isometries (and projections) can be defined in the more abstract setting of a semigroup with involution; the definition coincides with the one herein.
Characterization in finite dimensions
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In finite-dimensionalvector spaces, a matrix is a partial isometry if and only if is the projection onto its support. Contrast this with the more demanding definition of isometry: a matrix is an isometry if and only if . In other words, an isometry is an injective partial isometry.
Any finite-dimensional partial isometry can be represented, in some choice of basis, as a matrix of the form , that is, as a matrix whose first columns form an isometry, while all the other columns are identically 0.
Note that for any isometry , the Hermitian conjugate is a partial isometry, although not every partial isometry has this form, as shown explicitly in the given examples.
Operator Algebras
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For operator algebras, one introduces the initial and final subspaces:
C*-Algebras
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For C*-algebras, one has the chain of equivalences due to the C*-property:
So one defines partial isometries by either of the above and declares the initial resp. final projection to be W*W resp. WW*.
Any orthogonal projection is one with common initial and final subspace:
Embeddings
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Any isometric embedding is one with full initial subspace:
Unitaries
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Any unitary operator is one with full initial and final subspace:
(Apart from these there are far more partial isometries.)
Examples
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Nilpotents
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On the two-dimensional complex Hilbert space the matrix
is a partial isometry with initial subspace
and final subspace
Generic finite-dimensional examples
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Other possible examples in finite dimensions are
This is clearly not an isometry, because the columns are not orthonormal. However, its support is the span of and , and restricting the action of on this space, it becomes an isometry (and in particular, a unitary). One can similarly verify that , that is, that is the projection onto its support.
Partial isometries do not necessarily correspond to squared matrices. Consider for example,
This matrix has support the span of and , and acts as an isometry (and in particular, as the identity) on this space.
Yet another example, in which this time acts like a non-trivial isometry on its support, isOne can readily verify that , and , showing the isometric behavior of between its support and its range .
Leftshift and Rightshift
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On the square summable sequences, the operators
which are related by
are partial isometries with initial subspace
and final subspace:
.
References
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John B. Conway (1999). "A course in operator theory", AMS Bookstore, ISBN 0-8218-2065-6
Alan L. T. Paterson (1999). "Groupoids, inverse semigroups, and their operator algebras", Springer, ISBN 0-8176-4051-7
Mark V. Lawson (1998). "Inverse semigroups: the theory of partial symmetries". World ScientificISBN 981-02-3316-7
Stephan Ramon Garcia; Matthew Okubo Patterson; Ross, William T. (2019). "Partially isometric matrices: A brief and selective survey". arXiv:1903.11648 [math.FA].