Domains of Operators
The domain of an operator is the set of vectors on which the operator is actually defined. In finite-dimensional quantum mechanics this is easy to miss because every matrix acts on every vector. In infinite-dimensional quantum mechanics it is central.
Position, momentum, and Hamiltonian operators are often written as simple formulas. Those formulas are incomplete until the domain is specified.
Definition
Section titled “Definition”An operator on a Hilbert space is written
The domain is the set of vectors for which is defined and belongs to . For a linear operator, is usually required to be a linear subspace:
Linearity then means
for vectors in the domain.
The domain is not the range. The range is the set of possible outputs:
The codomain in this setting is the ambient Hilbert space . The domain, range, and codomain answer different questions.
Formula Plus Domain
Section titled “Formula Plus Domain”Two operators can have the same formula but different domains. They are different operators.
For example, on the formal derivative expression
does not define a single operator until one says which wavefunctions are differentiable enough and which boundary behavior is allowed.
This is the operator-theoretic version of an elementary fact from functions: the formula on and the formula on have different domains and different inverse behavior. For differential quantum operators, the consequences are much sharper: the spectrum, adjoint, self-adjointness, and time evolution can depend on the domain.
Bounded Versus Unbounded Domains
Section titled “Bounded Versus Unbounded Domains”If is a bounded operator on a Hilbert space, it is normally taken to act on all of :
This is one reason Bounded Operators are technically easier.
For an Unbounded Operator, the domain is usually a proper subspace:
The domain can still be large in the important sense of being dense.
Dense Domains
Section titled “Dense Domains”A domain is dense in if every vector in can be approximated arbitrarily well by vectors in . Equivalently,
where the closure is taken in the Hilbert-space norm.
Dense domains matter for several reasons:
- they allow the operator to act on a physically rich set of states;
- they make the adjoint operation meaningful in the usual Hilbert-space sense;
- they prevent the operator from ignoring an entire nonzero orthogonal subspace;
- they let calculations on smooth or compactly supported test functions approximate more general states.
The dense-domain requirement does not mean . The space of smooth compactly supported functions is dense in , but it is much smaller than all of .
Position Operator Domain
Section titled “Position Operator Domain”On , the position operator is multiplication by :
Its natural domain is
This domain says exactly what is needed: the original wavefunction must be square-integrable, and the output after multiplication by must also be square-integrable.
Momentum on an Interval
Section titled “Momentum on an Interval”Let and consider the formal momentum expression
The derivative already forces a domain such as a Sobolev space of square-integrable functions with square-integrable weak derivative. One commonly writes this as .
Boundary conditions then choose the operator. If and are sufficiently regular, integration by parts gives
Thus the boundary term controls whether the operator is symmetric on a proposed domain.
The domain
makes the boundary term vanish. It gives a symmetric momentum operator, but it is not the standard self-adjoint momentum on an interval.
A one-parameter family of self-adjoint momentum operators is obtained from phase-twisted boundary conditions:
If both and obey the same phase-twisted condition, then
so the boundary term vanishes. The resulting spectrum is
The differential expression did not change. The domain did.
Boundary Conditions as Domain Choices
Section titled “Boundary Conditions as Domain Choices”Boundary conditions are not decorations added after solving an eigenvalue problem. They are part of the operator definition.
For a kinetic-energy Hamiltonian on an interval,
the domain must say which functions are twice weakly differentiable enough and which endpoint conditions apply. Dirichlet, Neumann, periodic, and phase-twisted boundary conditions can define different self-adjoint operators and different spectra.
The analysis page Boundary Conditions explains the elementary differential-equation side. This page owns the operator-domain viewpoint.
Sums, Products, and Commutators
Section titled “Sums, Products, and Commutators”Domains also control algebraic operations. If and are unbounded operators, the natural domain of the sum is
The product has a stricter domain:
Therefore the commutator
is meaningful only on vectors for which both products exist. Formal operator algebra can be a useful guide, but for unbounded operators the domain is part of the statement.
Adjoint Preview
Section titled “Adjoint Preview”For a densely defined operator , the adjoint is defined through the inner product. A vector lies in when there exists a vector such that
for every . One then writes .
This definition shows why dense domains are not optional. Without density, the vector need not be uniquely determined. It also shows why self-adjointness is more than a formal integration-by-parts calculation: it requires equality of operators and equality of domains. The adjoint itself is developed in Adjoint Operators, and the domain equality distinction is developed in Symmetric versus Self-Adjoint Operators.
For the physics-facing warning, see Hermitian vs Self-Adjoint Operators.
Physical Interpretation
Section titled “Physical Interpretation”A normalizable vector can be a valid quantum state without lying in the domain of a particular unbounded observable. If , then is not defined as a Hilbert-space vector.
This matters for:
- applying a differential operator to a wavefunction;
- computing variances, which require control of ;
- using commutators involving unbounded observables;
- specifying Hamiltonians and their boundary conditions;
- proving that time evolution is unitary.
Some expectation values can be defined through quadratic forms on form domains, which are sometimes larger than the operator domain. That refinement is important in rigorous mathematical quantum mechanics, but the first rule remains: before applying an operator to a state, check that the state lies in the operator’s domain.
Common Mistakes
Section titled “Common Mistakes”- Treating an operator formula as complete without specifying .
- Confusing the domain with the range.
- Assuming every wavefunction is differentiable.
- Assuming a boundary condition is merely a solving trick rather than part of the operator.
- Using , , or without checking product domains.
- Calling a symmetric differential operator self-adjoint because one boundary term vanished.
- Forgetting that the same differential expression can produce different spectra on different domains.
Cross-Links
Section titled “Cross-Links”- Linear Maps
- Hilbert Spaces
- Adjoint Operators
- Symmetric versus Self-Adjoint Operators
- Bounded Operators
- Unbounded Operators
- Position and Momentum Representations
- Boundary Conditions
- Hermitian vs Self-Adjoint Operators
References
Section titled “References”- M. Reed and B. Simon, Methods of Modern Mathematical Physics, Volume I: Functional Analysis, Academic Press, 1980.
- B. C. Hall, Quantum Theory for Mathematicians, Springer, 2013.
- G. Teschl, Mathematical Methods in Quantum Mechanics, 2nd ed., American Mathematical Society, 2014.
- J. von Neumann, Mathematical Foundations of Quantum Mechanics, Princeton University Press, 1955.
Exercises
Section titled “Exercises”- For the position operator on , explain why is not all of .
Solution
A function can be square-integrable while is not square-integrable. For example, tails that decay just fast enough for to lie in may fail after multiplication by . The domain must require both and .
- Verify that the phase-twisted momentum domain makes the boundary term vanish.
Solution
If and , then
Therefore .
- Suppose and are unbounded. Why is generally not equal to ?
Solution
To form , one must first apply to , so . The result must then lie in . Thus
This can be smaller than .
- Why is density useful when defining an adjoint?
Solution
The adjoint is defined by requiring
for all . If is dense, then is uniquely determined by its inner products against vectors in . Without density, different vectors could agree on all of while differing on an orthogonal complement.