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  2. Hilbert space - Wikipedia

    en.wikipedia.org/wiki/Hilbert_space

    The exact nature of this Hilbert space is dependent on the system; for example, the position and momentum states for a single non-relativistic spin zero particle is the space of all square-integrable functions, while the states for the spin of a single proton are unit elements of the two-dimensional complex Hilbert space of spinors.

  3. Quantum state space - Wikipedia

    en.wikipedia.org/wiki/Quantum_state_space

    In quantum mechanics a state space is a separable complex Hilbert space.The dimension of this Hilbert space depends on the system we choose to describe. [1] [2] The different states that could come out of any particular measurement form an orthonormal basis, so any state vector in the state space can be written as a linear combination of these basis vectors.

  4. Mathematical formulation of quantum mechanics - Wikipedia

    en.wikipedia.org/wiki/Mathematical_formulation...

    As such, quantum states form a ray in projective Hilbert space, not a vector. Many textbooks fail to make this distinction, which could be partly a result of the fact that the Schrödinger equation itself involves Hilbert-space "vectors", with the result that the imprecise use of "state vector" rather than ray is very difficult to avoid. [5]

  5. Riesz representation theorem - Wikipedia

    en.wikipedia.org/wiki/Riesz_representation_theorem

    Every real Hilbert space can be extended to be a dense subset of a unique (up to bijective isometry) complex Hilbert space, called its complexification, which is why Hilbert spaces are often automatically assumed to be complex. Real and complex Hilbert spaces have in common many, but by no means all, properties and results/theorems.

  6. Infinite-dimensional vector function - Wikipedia

    en.wikipedia.org/wiki/Infinite-dimensional...

    Most theorems on integration and differentiation of scalar functions can be generalized to vector-valued functions, often using essentially the same proofs.Perhaps the most important exception is that absolutely continuous functions need not equal the integrals of their (a.e.) derivatives (unless, for example, is a Hilbert space); see Radon–Nikodym theorem

  7. Dual space - Wikipedia

    en.wikipedia.org/wiki/Dual_space

    When T is a compact linear map between two Banach spaces V and W, then the transpose T′ is compact. This can be proved using the Arzelà–Ascoli theorem. When V is a Hilbert space, there is an antilinear isomorphism i V from V onto its continuous dual V′. For every bounded linear map T on V, the transpose and the adjoint operators are ...

  8. Invariant subspace - Wikipedia

    en.wikipedia.org/wiki/Invariant_subspace

    The invariant subspace problem concerns the case where V is a separable Hilbert space over the complex numbers, of dimension > 1, and T is a bounded operator. The problem is to decide whether every such T has a non-trivial, closed, invariant subspace. It is unsolved.

  9. Glossary of functional analysis - Wikipedia

    en.wikipedia.org/wiki/Glossary_of_functional...

    A bornological space. Birkhoff orthogonality Two vectors x and y in a normed linear space are said to be Birkhoff orthogonal if ‖ + ‖ ‖ ‖ for all scalars λ. If the normed linear space is a Hilbert space, then it is equivalent to the usual orthogonality. Borel Borel functional calculus