Physlib.QuantumMechanics.DDimensions.SpaceDHilbertSpace.Basic
Hilbert space for quantum mechanics on Space d
Member of the Hilbert space as a property
Construction of elements of the Hilbert space
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Hilbert space
For a natural number , the Hilbert space for single-particle quantum mechanics on is defined as the space of square-integrable functions from to the complex numbers , where functions that are equal almost everywhere are identified as equivalence classes.
Antilinear map from Hilbert space to its dual via
For a natural number , let be the Hilbert space of square-integrable functions. The function `toBra` is the antilinear map from to its strong dual space . For any , the resulting linear functional acts on an element by the inner product . In the context of quantum mechanics, this represents the mapping of a state vector (a "ket") to its corresponding dual vector (a "bra").
Let be a natural number and be the Hilbert space of square-integrable functions. For any two elements , the evaluation of the linear functional at the element is equal to the complex inner product .
The map `toBra` is surjective
Let be a natural number and be the Hilbert space of square-integrable functions. The antilinear map , which maps a state vector (a "ket") to its corresponding dual vector (a "bra") defined by the inner product , is surjective.
The map `toBra` is injective
For a natural number , let be the Hilbert space of square-integrable functions. The antilinear map , which maps a state vector (a "ket") to its corresponding dual vector (a "bra") defined by the inner product , is injective.
The proposition asserts that a complex-valued function is a member of the space. This means that is almost everywhere strongly measurable and square-integrable, satisfying . This condition allows the function to be lifted to the Hilbert space associated with the physical system.
implies is a.e. strongly measurable
Let be a complex-valued function. If (i.e., is a member of the Hilbert space associated with the system), then is almost everywhere strongly measurable.
if and only if is AE strongly measurable and square-integrable
A complex-valued function satisfies the property if and only if it is almost everywhere strongly measurable and square-integrable, meaning that the integral of its squared norm is finite.
The zero function on is a member of the Hilbert space , satisfying the property . This means that the zero function is almost everywhere strongly measurable and square-integrable, such that .
The zero function is in
The constant zero function , defined by for all , is a member of the Hilbert space (i.e., it satisfies the property).
For any complex-valued functions , if both and are members of the space (meaning they are square-integrable such that ), then their sum is also a member of the space.
Scalar multiplication preserves membership
Let be a complex-valued function and be a complex scalar. If is a member of the Hilbert space (meaning is square-integrable), then the scalar product is also a member of .
Let be complex-valued functions. If is square-integrable (satisfying the property ) and is equal to almost everywhere with respect to the volume measure (), then is also square-integrable (satisfying ).
For a natural number and an almost everywhere strongly measurable function , the equivalence class of functions equal to almost everywhere is an element of the Hilbert space if and only if satisfies the square-integrability property .
Construction of an element of from a function
Given a complex-valued function and a proof that is square-integrable (i.e., holds), this definition constructs the corresponding element in the Hilbert space . The resulting element is the equivalence class of functions that are equal to almost everywhere.
For any element in the Hilbert space , the coerced function satisfies the property , meaning it is almost everywhere strongly measurable and square-integrable.
Every element of is represented by a square-integrable function
For every element in the Hilbert space , there exists a complex-valued function and a proof that is square-integrable (i.e., holds), such that the element in the Hilbert space constructed from , denoted , is equal to . In other words, every element of the Hilbert space is represented by at least one square-integrable function.
almost everywhere
For any square-integrable function (i.e., such that holds), the element in the Hilbert space constructed from is equal to almost everywhere with respect to the volume measure.
For any two complex-valued functions that are square-integrable (i.e., and hold), the inner product of their corresponding elements and in the Hilbert space is equal to the integral of the product of the complex conjugate of and the function : where denotes the complex conjugate of .
for
For any complex-valued function that is square-integrable (i.e., holds), the norm of the element in the Hilbert space constructed from is equal to the norm of the function itself: where (denoted in the formal statement as `mk hf`) represents the equivalence class of functions equal to almost everywhere.
is square-integrable
Let be an almost everywhere strongly measurable function. The equivalence class of (functions equal almost everywhere) belongs to the Hilbert space if and only if the function is integrable over .
in
Let be two square-integrable functions (satisfying and ). Let and denote the elements (equivalence classes) in the Hilbert space constructed from these functions. Then the Hilbert space element corresponding to the sum of the functions is equal to the sum of the individual Hilbert space elements, that is, .
in
Let be a square-integrable function and be a complex scalar. Let denote the element in the Hilbert space constructed from . Then the Hilbert space element corresponding to the scaled function is equal to the scalar multiplied by the element , that is, .
almost everywhere in
Let be two square-integrable functions (satisfying the property ). Let and denote the corresponding elements (equivalence classes) in the Hilbert space constructed via the `mk` operation. Then in the Hilbert space if and only if and are equal almost everywhere with respect to the volume measure ().
almost everywhere in
For any two elements and in the Hilbert space , if and only if their representative functions from to are equal almost everywhere with respect to the volume measure.
Addition in is pointwise addition almost everywhere
For any elements and in the Hilbert space , the representative function of their sum is equal to the pointwise sum of the representative functions of and almost everywhere with respect to the volume measure.
Subtraction in is pointwise subtraction almost everywhere
For any elements and in the Hilbert space , the function representing their difference is equal to the pointwise difference of the functions representing and almost everywhere with respect to the volume measure.
Scalar multiplication in is pointwise almost everywhere
For a natural number , let be the Hilbert space of square-integrable functions from to the complex numbers . For any scalar and any element , the representative function of the scalar multiplication is equal to the pointwise product of and the representative function of almost everywhere with respect to the volume measure. That is, for almost all .
in if and only if
In the Hilbert space of square-integrable functions, a family of functions indexed by elements of a type converges to zero along a filter if and only if the integral of their squared norms converges to zero. That is, where the limit on the left is taken in the norm topology and the integral is the standard Lebesgue integral over the volume of .
Linear projection map from to
For a subset and a measure , this definition provides a -linear map from the Hilbert space to the Hilbert space , where denotes the restriction of the measure to the set .
Subspace projection of onto is almost everywhere on
For any subset and any wavefunction , the projection of onto the restricted Hilbert space is equal to almost everywhere with respect to the restricted measure .
for the subspace projection map
Let be the Hilbert space of square-integrable functions on with respect to a measure . For any subset , let denote the linear projection map from to (where is the restriction of to ). For any wavefunction , the -norm of the projected wavefunction is less than or equal to the -norm of the original wavefunction:
Linear isometry inclusion
For a measurable set and a measure , this definition is the -linear isometry from the Hilbert space to . It maps a wavefunction to its extension by zero outside of , represented by the indicator function .
The inclusion map is equal to the indicator function extension -a.e.
Let be a natural number and be a measure on . For any measurable set and any wave function in the Hilbert space , the inclusion of into the global Hilbert space is equal to the indicator function almost everywhere with respect to .
for on Subspace
For a measurable set and a measure on , let denote the Hilbert space of square-integrable functions. Let be the linear isometry inclusion that extends a wavefunction by zero outside of , and let be the linear projection map that restricts a wavefunction to . Then is a left inverse of , which means that for any , we have .
for wavefunctions
Let be a measurable set and be a measure on . Let be the Hilbert space of square-integrable functions, and let be the Hilbert space with respect to the measure restricted to . If is the linear isometry that includes a wavefunction into the larger space (by extending it by zero outside ) and is the linear projection map, then for any , it holds that .
The subspace projection is surjective
Let be a natural number and let be a measure on . For any measurable subset , the linear projection map from the Hilbert space to the Hilbert space is surjective, where denotes the restriction of the measure to the set .
