Self-Adjoint Operators
A quantum observable such as position, momentum, or energy is usually an unbounded operator. Such an operator is not specified by a formula alone: its domain is part of its definition. A densely defined operator is self-adjoint when
meaning both that on their common vectors and that . This equality of domains is the decisive condition. It is what supports a real spectral measure, a functional calculus, and—through Stone’s theorem—unitary dynamics.
Required background. State Vectors supplies Hilbert-space vectors, inner products, and norm convergence. This page also assumes introductory functional analysis: dense subspaces, continuous linear functionals, and closed graphs.
An operator includes its domain
Section titled “An operator includes its domain”Let be a complex Hilbert space, with the inner product linear in its second argument. An operator is a pair consisting of a linear subspace and a linear map
For a bounded operator, continuity extends the action uniquely from a dense domain to all of . An unbounded operator cannot have an everywhere-defined closed extension: the closed graph theorem would make that extension bounded. Domain information is therefore unavoidable rather than a minor technicality.
Two operators with the same differential expression can be different operators. On , for example, the expression becomes different momentum operators when paired with different boundary conditions. Those choices change the adjoint, spectrum, and admissible dynamics.
The graph
is useful for limiting arguments. The operator is closed when is a closed subspace. Equivalently, if and in norm, with every , then and . A closable operator has a smallest closed extension, denoted . Every self-adjoint operator is closed.
The adjoint and its maximal domain
Section titled “The adjoint and its maximal domain”Suppose is dense. A vector belongs to if there is a vector such that
Density makes unique, and one defines . Thus
where continuity is measured using the Hilbert-space norm, not the graph norm. The adjoint domain is maximal: integration by parts may suggest the formal adjoint, but is determined by every vector for which the boundary pairing and distributional action define a Hilbert-space vector.
For densely defined operators and , write when and on . The central distinctions are then
| Property | Operator relation | Domain consequence |
|---|---|---|
| symmetric | ||
| self-adjoint | ||
| essentially self-adjoint | the closure is self-adjoint |
A symmetric operator satisfies
and therefore has real expectation values on its domain. The converse conclusion needed in quantum mechanics does not follow: real quadratic forms on a restricted domain do not make the operator self-adjoint.
In finite dimensions every linear operator is bounded and has the full vector space as its domain. There, a Hermitian matrix is self-adjoint, so the domain distinction disappears. Importing that matrix intuition unchanged into infinite-dimensional quantum mechanics is the common source of the mistake “symmetric equals self-adjoint.”
Boundary forms reveal the missing domain data
Section titled “Boundary forms reveal the missing domain data”Consider the formal momentum expression
on . For sufficiently regular and , integration by parts gives the boundary form
The action alone does not decide whether this term vanishes. For each , define
The boundary form vanishes for pairs of vectors in this domain, and the same condition emerges when the adjoint domain is computed. Hence is self-adjoint. Changing leaves the differential expression unchanged but shifts the spectrum. The detailed interval calculation belongs to the physicist-facing Hermitian versus Self-Adjoint Operators page; here the family is evidence that a formal action does not select one operator. By contrast, imposing both and produces a symmetric restriction whose adjoint has a larger domain.
This example is a model for more complicated Hamiltonians. Boundary conditions at a finite endpoint, at a singularity, or at infinity are part of the operator. Physically admissible choices are constrained by self-adjointness, but self-adjointness alone need not select a unique choice.
The half-line gives a sharper warning. Start with on . Its closure is symmetric, but the two deficiency equations have respectively one and zero square-integrable solutions. The deficiency indices are unequal, so this momentum operator has no self-adjoint extension on . Not every symmetric operator can be repaired by choosing a boundary condition.
Deficiency spaces and extension tests
Section titled “Deficiency spaces and extension tests”Let be densely defined, closed, and symmetric. Its deficiency spaces are
with deficiency indices . The labels depend on the displayed sign convention; the dimensions, not the labels, carry the criterion.
- is self-adjoint exactly when .
- has self-adjoint extensions exactly when .
- When the common finite value is , the extensions are parametrized by unitary maps from to .
An equivalent range test says that a densely defined symmetric operator is self-adjoint precisely when
For essential self-adjointness, the corresponding ranges need only be dense. These tests convert domain equality into solvability properties of shifted operators.
An operator first defined on a convenient small domain—smooth functions of compact support, for example—is often not closed. Calling that initial operator “self-adjoint” is usually false. The useful statement is that it is essentially self-adjoint on that domain: it has one self-adjoint closure, so the convenient domain is a core that determines the physical operator.
Spectral and dynamical consequences
Section titled “Spectral and dynamical consequences”Self-adjointness has consequences that symmetry alone does not guarantee.
First, the spectrum is real. More quantitatively, for ,
and the self-adjoint range property makes invertible with
Second, the spectral theorem assigns a unique projection-valued measure on such that
This is not merely a symbolic diagonalization. It defines bounded functions for bounded Borel functions , and it fixes the domains of unbounded functions through integrability conditions. The full construction belongs to the unbounded spectral theorem.
Third, a self-adjoint defines unitary operators
for all real . They form a strongly continuous one-parameter group. The converse—every such group has a unique self-adjoint generator—is Stone’s theorem. For a Hamiltonian , the physical convention is .
These facts explain the observable postulate more precisely. A self-adjoint operator supplies real-valued sharp events through , while a self-adjoint Hamiltonian supplies norm-preserving time evolution. The two roles use different parts of the same operator theory.
Standard examples and nonexamples
Section titled “Standard examples and nonexamples”Multiplication by position
Section titled “Multiplication by position”On , define
This maximal multiplication operator is self-adjoint. Its spectrum is all of , yet it has no normalizable eigenvector. The spectral projections act by multiplication with indicator functions:
Thus a self-adjoint operator need not possess an orthonormal basis of ordinary eigenvectors.
A bounded Hermitian operator
Section titled “A bounded Hermitian operator”If is bounded and defined on all of , then
already implies . This is the regime in which “Hermitian” and “self-adjoint” are harmlessly used as synonyms.
A merely symmetric restriction
Section titled “A merely symmetric restriction”Restricting a self-adjoint operator to a smaller dense domain usually preserves symmetry but destroys self-adjointness. The adjoint remembers the larger set of vectors on which the boundary pairing is meaningful. A formal calculation that checks only vectors in the restricted domain cannot detect this mismatch.
Common pitfalls
Section titled “Common pitfalls”Checking only the differential expression. Integration by parts identifies a boundary form, not a self-adjoint operator. State the domain and compare it with the adjoint domain.
Equating real expectations with self-adjointness. A symmetric operator has real expectations on its domain. It can still lack a spectral resolution or a unitary group generated on the whole Hilbert space.
Calling a test-function operator self-adjoint. A differential operator on is often a convenient symmetric seed. The correct result may be essential self-adjointness of that seed, or the existence of several self-adjoint extensions.
Assuming every symmetric operator has an extension. Unequal deficiency indices rule out self-adjoint extensions on the same Hilbert space. Equality, not symmetry alone, is the extension criterion.
Expecting only eigenvalues. Continuous spectrum is fully compatible with self-adjointness. Spectral projections and generalized representations replace an ordinary eigenvector sum.
Exercises
Section titled “Exercises”1. Reality of expectation values
Section titled “1. Reality of expectation values”Show that if is symmetric and , then is real. Explain why this does not prove that is self-adjoint.
Solution
Symmetry gives
Hence the expectation value is real. The calculation uses only vectors in and shows ; it says nothing about whether .
2. The interval momentum family
Section titled “2. The interval momentum family”Show that the boundary form vanishes on and derive the spectrum of .
Solution
If and obey the same quasiperiodic condition, then , so the boundary form vanishes. Solving gives . The condition requires
so . Normalization gives .
3. Resolvent estimate
Section titled “3. Resolvent estimate”Let be self-adjoint and with . Prove .
Solution
Because is symmetric, is real. Expanding the squared norm gives
because the cross terms cancel. Taking square roots yields the estimate. The surjectivity part needed for a bounded inverse uses self-adjointness, not only this inequality.
4. Domain of the position operator
Section titled “4. Domain of the position operator”Give an function that does not belong to , where .
Solution
For example,
belongs to , but approaches a nonzero constant in magnitude as and is not square-integrable. Thus is a proper dense subspace of .
References
Section titled “References”- G. Bonneau, J. Faraut, and G. Valent, “Self-adjoint extensions of operators and the teaching of quantum mechanics,” American Journal of Physics 69, 322–331, 2001, doi:10.1119/1.1328351.
- J. B. Conway, A Course in Functional Analysis, 2nd ed., Springer, 1990.
- B. C. Hall, Quantum Theory for Mathematicians, Springer, 2013.
- T. Kato, Perturbation Theory for Linear Operators, 2nd ed., Springer, 1976.
- M. Reed and B. Simon, Methods of Modern Mathematical Physics, Volume I: Functional Analysis, revised and enlarged ed., Academic Press, 1980.
- K. Schmüdgen, Unbounded Self-Adjoint Operators on Hilbert Space, Springer, 2012.
- G. Teschl, Mathematical Methods in Quantum Mechanics: With Applications to Schrödinger Operators, 2nd ed., American Mathematical Society, 2014.