Physlib.QuantumMechanics.HilbertSpaces.SpaceD.Basic
Hilbert spaces for quantum mechanics on `Space d`
i. Overview
The Hilbert spaces appropriate for doing quantum mechanics on `Space d` are the -spaces `SpaceDHilbertSpace d μ := Lp ℂ 2 μ`, where `μ` is some measure on `Space d`. Elements of `SpaceDHilbertSpace d μ` are _equivalence classes_ of functions `Space d → ℂ` which are square-integrable with respect to `μ`, i.e. `∫ x, ‖f x‖ ^ 2 ∂μ` is finite, and where `f` and `g` are in the same equivalence class if they are `μ`-a.e. equal.
Given `SpaceDHilbertSpace d μ` and `Ω : Set (Space d)`, the Hilbert space `SpaceDHilbertSpaceOn Ω μ ≔ SpaceDHilbertSpace d (μ.restrict Ω)` may be interpreted as the sub-Hilbert space consisting of those vectors with domain contained in `Ω`. The reason is that for each `ψ` in `SpaceDHilbertSpaceOn Ω μ` we have `ψ =ᵐ[μ.restrict Ω] Ω.indicator ψ`, namely the equivalence class of `ψ` always contains a representative which vanishes on the complement of `Ω`. The linear isometry `restrictIncl Ω μ` describes this sub-Hilbert space relationship by mapping each `ψ` to this special representative in its equivalence class.
Similarly, we may project `SpaceDHilbertSpace d μ` onto `SpaceDHilbertSpaceOn Ω μ` by enlarging the equivalence classes, essentially dropping information about the functions on the complement of `Ω`.
ii. Key results
- `SpaceDHilbertSpace d μ` : The -space on `Space d` with respect to the measure `μ`. - `toBra` : The linear equivalence between the Hilbert space and its dual. This is the map which sends each ket to its corresponding bra and _vice versa_. - `MemHS f μ` : The proposition capturing exactly when the function `f : Space d → ℂ` can be lifted to an element of the Hilbert space. - `subspaceProjection` : The projection of `SpaceDHilbertSpace d μ` onto `SpaceDHilbertSpaceOn Ω μ`. - `subspaceIncl` : The linear isometry including `SpaceDHilbertSpaceOn Ω μ` as a sub-Hilbert space of `SpaceDHilbertspace d μ`.
iii. Table of contents
- A. SpaceDHilbertSpace - A.1. Dual space - A.2. Membership - A.3. Construction of elements - A.4. Coersions - A.5. Misc. - B. SpaceDHilbertSpaceOn
iv. References
A. SpaceDHilbertSpace
A.1. Dual space
A.2. Membership
A.3. Construction of elements
A.4. Coersions
A.5. Misc.
B. SpaceDHilbertSpaceOn
27 declarations
The action of on is the inner product
For a natural number , let be the Hilbert space of square-integrable functions. For any two state vectors , the action of the dual vector (bra) on the vector (ket) is equal to the inner product in .
Let be the Hilbert space of square-integrable functions for a given dimension . Let be the antilinear isomorphism that maps a vector to its corresponding dual functional in the strong dual space , defined by the inner product . For any linear functional and any vector , the inner product of the vector with is equal to the result of the functional applied to :
Elements of the Hilbert space satisfy the square-integrability condition
For any dimension , if is an element of the Hilbert space , then its underlying function satisfies the square-integrability property . That is, the function is almost everywhere strongly measurable and satisfies .
For any dimension , the constant zero function is a member of the Hilbert space .
For any natural number and any complex-valued function , if is a member of the square-integrable Hilbert space , then its pointwise negation is also a member of .
The set of square-integrable functions on is closed under addition.
For any dimension and complex-valued functions , if and are square-integrable (i.e., they satisfy the condition), then their sum is also square-integrable.
For any dimension and any complex-valued functions , if both and are square-integrable (i.e., they satisfy the condition , meaning and ), then their difference is also square-integrable.
For any and any complex-valued function , if is a member of the Hilbert space (i.e., is square-integrable), then for any scalar , the function is also a member of .
a.e. and
For any dimension and complex-valued functions , if and are equal almost everywhere with respect to the volume measure ( a.e.), then implies . Here, the condition (denoted as `MemHS f` in the formal text) means that is almost everywhere strongly measurable and square-integrable, satisfying .
Monotonicity of Membership with Respect to Measure Inequality
Let and be measures on , and let be a complex-valued function. If and is a member of the Hilbert space , then is also a member of the Hilbert space .
Let be a natural number and be a measure on . For any complex-valued function , if belongs to the Hilbert space with respect to the measure , then for any subset , also belongs to the Hilbert space with respect to the restricted measure .
(Monotonicity of membership under domain restriction)
Let be a natural number and be a measure on . For any complex-valued function and any two subsets , if and is square-integrable on with respect to (i.e., ), then is also square-integrable on with respect to (i.e., ). Here, the square-integrability condition corresponds to the property that is almost everywhere strongly measurable and .
for measurable
For any natural number , let be a measure on . For any complex-valued function and any subset , if is a measurable set and is a member of the Hilbert space , then the indicator function (the function equal to on and elsewhere) is also a member of the Hilbert space .
for measurable
For any natural number and any measure on , let be a complex-valued function and be a measurable set. If is square-integrable with respect to the restricted measure (i.e., ), then the indicator function (defined as for and otherwise) is square-integrable with respect to the original measure (i.e., ).
and
For any natural number and any measure on , let be functions. If is a member of the Hilbert space , is -almost everywhere strongly measurable, and for -almost every , then is also a member of the Hilbert space .
in
For any natural number and any complex-valued function that is square-integrable (i.e., satisfies the property ), let denote the corresponding element in the Hilbert space . Then, the element in the Hilbert space represented by the function is equal to the additive inverse of the element represented by :
for elements of
For any dimension and complex-valued functions , if and are square-integrable (i.e., they satisfy the property ), then the element in the Hilbert space corresponding to the function is equal to the difference of the elements corresponding to and . That is, where denotes the map from a square-integrable function to its equivalence class in the Hilbert space.
The Hilbert space element is equal to almost everywhere
For any natural number and any complex-valued function , if satisfies the condition for being in the Hilbert space (i.e., holds), then the function representative of the Hilbert space element constructed from is equal to almost everywhere with respect to the volume measure.
almost everywhere in
For any natural number , let be the Hilbert space of square-integrable functions from to . For any element in this Hilbert space, the function representative of the additive inverse is equal to the negative of the function representative of almost everywhere with respect to the volume measure on . That is, for almost every .
Projection of onto
This linear map projects the Hilbert space onto , which is the Hilbert space of square-integrable functions defined on with respect to the restricted measure for a given set . It maps an equivalence class of functions in the global space to its corresponding equivalence class in the restricted space, effectively disregarding the behavior of the functions on the complement of .
almost everywhere on
For any element in the Hilbert space , its projection into the Hilbert space is equal to almost everywhere with respect to the restricted measure . That is, where denotes the restriction of the measure to the set .
The norm of the subspace projection satisfies
For any vector in the Hilbert space , the norm of its projection onto the Hilbert space (where is the restriction of the measure to the set ) is less than or equal to the norm of . That is,
Linear isometry including into
This definition defines the complex linear isometry which includes the Hilbert space of square-integrable functions on a measurable subset into the Hilbert space on the entire space. The map sends an equivalence class of functions to its extension by zero outside , represented by the indicator function . Here denotes the restriction of the measure to the set .
almost everywhere
For a measurable subset and a measure on , let be the linear isometry that includes the Hilbert space on into the Hilbert space on the whole space. For any , the result of this inclusion is equal -almost everywhere to the extension of by zero outside , expressed using the indicator function as:
`subspaceProjection` is a left inverse of `subspaceIncl`
For a measurable subset and a measure , let be the linear isometry that includes the Hilbert space on into the global Hilbert space by extending functions as zero outside . Let be the linear map that projects functions onto the restricted space. Then, is a left inverse of , meaning that for any , it holds that .
Let be a natural number and a measure on . Let be a measurable subset. Let be the linear isometry that includes the Hilbert space on into the global Hilbert space, and let be the linear projection onto the Hilbert space on . Then for any , it holds that
The projection onto the restricted Hilbert space is surjective
For a natural number , a measure on , and a set , the linear projection map is surjective. This means that every square-integrable function in the Hilbert space defined with respect to the restricted measure corresponds to the projection of at least one square-integrable function from the global Hilbert space .
