Physlib.Mathematics.InnerProductSpace.Basic
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norm notation
#term‖_‖₂The notation denotes the norm of an element in a space equipped with an inner product, which is defined as the square root of the inner product of with itself, i.e., .
Core structure of a generalized inner product space over
#instCoreOfInnerProductSpace'Given a generalized inner product space over a field (where is typically or ), this definition extracts the underlying core structure required for an inner product space. This core structure includes the definition of the inner product and the fundamental axioms it satisfies, such as linearity in the first argument, conjugate symmetry, and positive definiteness. This is used in cases where the space's default norm does not necessarily coincide with the norm .
Inner product for a generalized inner product space over
#instInnerOfInnerProductSpace'Given a generalized inner product space over a field (where is typically or ), this instance provides the inner product on . It extracts the inner product operation from the underlying core structure of the `InnerProductSpace' 𝕜 E` typeclass, which generalizes standard inner product spaces by allowing the space's default norm to differ from the norm .
Standard inner product space is a generalized inner product space
#instInnerProductSpace'Given a standard inner product space over a field (where is or ), this instance defines a generalized inner product space structure `InnerProductSpace' 𝕜 E` on . In this construction, the norm is identified with the standard norm of the space, and the underlying inner product core is inherited directly. The requirement for the equivalence between the norm and the inner product is satisfied with constants and , as the identity holds for all .
norm on via
#toNormWithL2For a generalized inner product space over a field (typically or ), this definition equips the type synonym with a norm. For any element , its norm is defined as , where is the inner product provided by the generalized inner product space structure on . This definition ensures that the space is specifically endowed with the norm derived from its inner product.
Inner product on
#toInnerWithL2Given a generalized inner product space over a field (typically or ), this definition equips the type synonym with an inner product . For any elements , their inner product is defined as , where is the canonical identity equivalence and is the inner product provided by the generalized inner product space structure on .
Normed additive commutative group structure on via norm
#toNormedAddCommGroupWitL2Given a generalized inner product space over a field (where is or ), this definition endows the type synonym with the structure of a normed additive commutative group. The underlying additive group structure is inherited from , and the norm used is the norm, . This ensures that satisfies the axioms of a normed group, specifically defining the distance between elements and as .
Let be a generalized inner product space. For any element in the space , the norm (the default norm of the type synonym) is equal to the absolute value of the norm of the underlying element in , denoted by .
normed space structure on
#toNormedSpaceWithL2Given a generalized inner product space over a field (where is or ), this definition endows the type synonym with the structure of a normed space over . This construction uses the norm derived from the inner product, , and ensures that the scalar multiplication satisfies the homogeneity property for all and .
Inner product space structure on
#toInnerProductSpaceWithL2Given a generalized inner product space over a field (where is or ), this definition endows the type synonym with the structure of a standard inner product space. The inner product is inherited from the underlying space , and the norm is the norm defined by . This construction ensures that the compatibility condition holds for all .
Continuous linear map
#toL2Given a generalized inner product space over a field (where is or ), let be the default norm on . This definition defines a continuous linear map from to , where denotes the same underlying vector space but equipped with the norm . The map is the identity function on the elements of the space, and it is continuous because the generalized inner product space structure requires the default norm and the norm to be topologically equivalent.
Continuous linear map
#fromL2Let be a generalized inner product space over a field (where is or ). The map `fromL2` is the continuous linear map from to that acts as the identity on the underlying elements. Here, denotes the space equipped with the norm , while carries its original norm . The continuity of this map is guaranteed by the requirement in a generalized inner product space that the original norm and the norm are topologically equivalent.
Let be a generalized inner product space over a field (where is or ). Let denote the space equipped with the norm . Let and be the canonical continuous linear maps that act as the identity on the underlying elements. For any and , the following identity holds: where the left inner product is the one provided by the structure on and the right inner product is the one provided by the structure on .
Let be a generalized inner product space over a field (where is or ). Let denote the space equipped with the norm and its induced inner product. Let and be the canonical identity maps between the space and its type synonym. For any and , the following identity holds: where the inner product on the left is the one defined on , and the inner product on the right is the one defined on .
Let be a generalized inner product space over a field (where is or ). Let and be the continuous linear identity maps between and the space equipped with the norm . For any and , the inner product satisfies: where the left-hand side uses the inner product on and the right-hand side uses the inner product on .
Let be a generalized inner product space over a field (where is or ). Let denote the space equipped with the norm . Let and be the identity maps between the underlying vector spaces. For any and , the inner product satisfies: where the left-hand side uses the inner product on and the right-hand side uses the inner product on .
Let be a generalized inner product space over a field (where is or ). Let denote the space equipped with the norm . Let and be the continuous linear maps that act as the identity on the underlying elements. For any , it holds that .
Let be a generalized inner product space over a field (where is or ). Let be the continuous linear map that acts as the identity on the underlying elements of the vector space, and let be the corresponding continuous linear map in the opposite direction. For any , it holds that .
Continuous linear equivalence
#equivL2Let be a generalized inner product space over a field (where is or ). By definition, such a space is equipped with a default norm and an inner product that induces an norm equivalent to . The term `equivL2` is the continuous linear equivalence (isomorphism of topological vector spaces) between , which denotes the space equipped with the norm, and the space carrying its original norm. The map is defined as the identity on the underlying elements of the vector space.
Let be a generalized inner product space over a field (where is or ). If is complete with respect to its original norm , then it is also a complete space when equipped with the norm (denoted as ).
Let be a generalized inner product space. For any vectors , if for all , then .
Let be a generalized inner product space over a field . For any vectors , if the inner product equals for every vector , then .
Conjugate symmetry of the inner product:
#inner_conj_symm'Let be a generalized inner product space over a field (typically or ). For any vectors , the inner product satisfies conjugate symmetry: , where denotes the conjugate of the scalar .
Let be a generalized inner product space over a field (where is either or ). For any vectors and any scalar , the inner product of with satisfies , where denotes the conjugate of the scalar .
Linearity of the inner product in the right argument:
#inner_smul_right'Let be a generalized inner product space over the field (where is or ). For any vectors and any scalar , the inner product is linear in its second argument, satisfying the identity .
In a generalized inner product space over a field , for any vector , the inner product of the zero vector with is zero, denoted as .
Let be a generalized inner product space over a field . For any vector , the inner product of with the zero vector on the right is zero, i.e., .
In a generalized inner product space over a field , for any vectors , the inner product satisfies the left-additivity property: .
In a generalized inner product space , for any vectors , the inner product is additive in the second argument, meaning .
In a generalized inner product space over a field , for any elements , the inner product satisfies the identity .
Let be a generalized inner product space over a field . For any vectors , the inner product satisfies the distributivity property over subtraction in the second argument: where denotes the inner product provided by the space .
Let be a generalized inner product space over a field . For any vectors , the inner product satisfies the identity .
Let be a generalized inner product space. For any vectors , the inner product satisfies the identity .
Let be a generalized inner product space over a field . For any , the inner product of with itself is zero if and only if is the zero vector, i.e., .
Let be a generalized inner product space. For any vector and any finite family of vectors in , the inner product of with the sum of the vectors is equal to the sum of the inner products of with each vector :
The inner product is continuous if and are continuous.
#inner'Let be a topological space and be a generalized inner product space over a field . If and are continuous functions, then the function mapping each to the inner product is continuous.
For any vector in a generalized inner product space , the real part of the inner product of with itself is non-negative, that is, .
for real inner products
#real_inner_comm'For any elements and in a real inner product space , the inner product is symmetric, satisfying .
The inner product of two functions at a point is at that point
#inner'Let be a normed space and be a generalized inner product space. If and are -times continuously differentiable at a point with respect to the field , then the scalar-valued function mapping to the inner product is also -times continuously differentiable at with respect to .
The inner product of functions is
#inner'Let be a normed space and be a generalized inner product space. If and are -times continuously differentiable functions ( functions) over , then the scalar-valued function mapping to the inner product is also -times continuously differentiable over .
Inner product on as
#instInnerProd_physlibFor any two elements and in the product space , where and are inner product spaces over a field , the inner product is defined as the sum of the inner products of their components:
Let and be generalized inner product spaces over a field . For any two elements in the product space , the inner product is equal to the sum of the inner products of their components: where and , with and .
Generalized inner product space structure on
#instInnerProductSpace'ProdFor generalized inner product spaces and over a field (where is or ), the product space is endowed with a generalized inner product space structure. The inner product is defined component-wise as: The associated norm on the product space is given by , where denotes the norms of the respective spaces. This construction satisfies the required equivalence condition with the standard product norm , meaning there exist constants such that for all .
Generalized inner product space structure on
#instInnerProductSpace'ForallLet be a finite index set and be a generalized inner product space over a field (where is or ). The space of functions (the product space ) is itself a generalized inner product space. The inner product of two elements is defined as the sum of the inner products of their components: The associated norm for this space is given by where is the norm on . This structure satisfies the requirement that the inner product is equivalent to the standard product norm (supremum norm) on .
The inner product is a bounded bilinear map
#isBoundedBilinearMap_inner'In a generalized inner product space over a field (where is or ), the inner product operation is a bounded bilinear map over .
