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Self-adjoint, positive, unitary and normal operators
Definition
Assume the Axiom of Countable Choice, and let be a real or complex Hilbert space with a bounded linear operator and its Hilbert adjoint (The Hilbert-space adjoint of a bounded operator, The spaces (\mathcal B(X,Y)) and (\mathcal B(X)) of bounded linear operators).
- is self-adjoint when ;
- is positive when is a real number in for every ;
- is unitary when , the identity operator;
- is normal when .
The definitions are read over either scalar field with the same inner product. Two immediate consequences. Every self-adjoint operator is normal, because when . Every unitary operator is normal, because its defining identity says exactly that and are both the identity. Positivity is a condition on the values of the quadratic form and therefore forces those values to be real, which for a complex Hilbert space does not follow from boundedness alone; a positive operator on a complex Hilbert space is in fact self-adjoint, but that is proved later and is not assumed here.
Consistency of the vocabulary. The identity operator is self-adjoint, positive and unitary, and the zero operator is self-adjoint and positive; on the one-dimensional Hilbert space the operator is self-adjoint exactly when is real, unitary exactly when , and normal for every scalar .
Depends on
Used by
- Normal operator norm equals spectral radius Corollary
- Normal operator with zero spectrum is zero Corollary
- Orthonormal eigenbasis for a compact self adjoint operator Corollary
- Spectral projections and resolution of the identity Corollary
- A quasinilpotent operator need not be zero Counterexample
- Self adjointness cannot be dropped from the order calculus Counterexample
- Absolute value and singular values of a compact operator Definition
- Absolute value of a bounded operator Definition
- C star algebra generated by a normal operator Definition
- Cyclic vector and cyclic normal operator Definition
- Isometry coisometry and partial isometry Definition
- Order on bounded self adjoint operators Definition
- Functional calculus for a diagonal operator Example
- Functional calculus for a multiplication operator Example
- Pvm of a diagonal normal operator Example
- Pvm of a multiplication operator Example
- Sign and positive negative parts of a self adjoint operator Example
- Square root and absolute value of a matrix Example
- Volterra operator is Hilbert Schmidt and quasinilpotent Example
- Eigenspaces of a self adjoint operator are orthogonal Lemma
- Maximal orthogonal family of cyclic reducing subspaces Lemma
- Norm of a self adjoint operator from its quadratic form Lemma
- Norm point of a compact self adjoint operator is an eigenvalue up to sign Lemma
- Orthogonal complement of an eigenspace is invariant Lemma
- Polynomial calculus is isometric for self adjoint operators Lemma
- Positive square root of a compact positive operator Lemma
- Spectrum of a positive operator is nonnegative Lemma
- Spectrum of a self adjoint operator is real Lemma
- Positive square root and covariance matrices Remark
- Borel functional calculus for bounded normal operators Theorem
- Bounded normal operator abstract spectral theorem Theorem
- Continuous functional calculus for bounded normal operators Theorem
- Continuous functional calculus properties Theorem
- Cyclic spectral representation Theorem
- Multiplication operator form of the bounded normal spectral theorem Theorem
- Numerical radius is an equivalent operator norm Theorem
- Positive square root Theorem
- Schur orthogonality Theorem
- Self adjoint norm and spectrum extrema Theorem
- Singular value decomposition for compact operators Theorem
…and 5 more results.
Dependency tree · two levels
20 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Theo Bühler and Dietmar Salamon, Functional Analysis, Definition 5.39, p.239 (standard reference, not scraped)
- Andrew Lin and Casey Rodriguez, MIT 18.102 Introduction to Functional Analysis, Lecture 23 (standard reference, not scraped)