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Physlib.Mathematics.VariationalCalculus.IsLocalizedfunctionTransform

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definition

FF is a localized function transform

#IsLocalizedFunctionTransform

A function transformation F:(XU)(YV)F : (X \to U) \to (Y \to V) is said to be **localized** if for every compact set KYK \subseteq Y, there exists a compact set LXL \subseteq X such that for any two functions ϕ,ϕ:XU\phi, \phi' : X \to U, if ϕ\phi and ϕ\phi' agree on LL (i.e., ϕ(x)=ϕ(x)\phi(x) = \phi'(x) for all xLx \in L), then their transforms FϕF\phi and FϕF\phi' agree on KK (i.e., (Fϕ)(y)=(Fϕ)(y)(F\phi)(y) = (F\phi')(y) for all yKy \in K).

theorem

The composition of two localized function transformations is localized

#comp

Let F:(YV)(ZW)F: (Y \to V) \to (Z \to W) and G:(XU)(YV)G: (X \to U) \to (Y \to V) be function transformations. If both FF and GG are localized function transformations, then their composition FGF \circ G is also a localized function transformation. A function transformation is localized if for every compact set KK in its target space, there exists a compact set LL in its source space such that if two functions ϕ,ϕ\phi, \phi' agree on LL, then their transforms agree on KK.

theorem

The composition of localized function transformations is localized

#fun_comp

Let F:(YV)(ZW)F: (Y \to V) \to (Z \to W) and G:(XU)(YV)G: (X \to U) \to (Y \to V) be function transformations. If both FF and GG are localized function transformations, then their composition, defined by ϕF(G(ϕ))\phi \mapsto F(G(\phi)), is also a localized function transformation. A function transformation is localized if for every compact set KK in the domain of the output functions, there exists a compact set LL in the domain of the input functions such that if two functions agree on LL, their transforms agree on KK.

theorem

The identity transformation is a localized function transform

#id

The identity transformation id:(YV)(YV)\text{id} : (Y \to V) \to (Y \to V) is a localized function transform. That is, for every compact set KYK \subseteq Y, there exists a compact set LYL \subseteq Y such that for any two functions ϕ,ϕ:YV\phi, \phi' : Y \to V, if ϕ\phi and ϕ\phi' agree on LL (i.e., ϕ(y)=ϕ(y)\phi(y) = \phi'(y) for all yLy \in L), then id(ϕ)\text{id}(\phi) and id(ϕ)\text{id}(\phi') agree on KK.

theorem

The negation of a localized function transform is localized

#neg

Let F:(XU)(YV)F: (X \to U) \to (Y \to V) be a function transformation, where VV is a normed additive commutative group. If FF is a localized function transform, then the transformation defined by ϕFϕ\phi \mapsto -F\phi is also a localized function transform. A function transformation FF is said to be localized if for every compact set KYK \subseteq Y, there exists a compact set LXL \subseteq X such that for any two functions ϕ,ϕ:XU\phi, \phi' : X \to U, if ϕ\phi and ϕ\phi' agree on LL, then their transforms FϕF\phi and FϕF\phi' agree on KK.

theorem

The sum of two localized function transforms is localized

#add

Let VV be a normed additive commutative group. Let F,G:(XU)(YV)F, G: (X \to U) \to (Y \to V) be two function transformations. If FF and GG are both localized function transforms, then their pointwise sum, defined by ϕFϕ+Gϕ\phi \mapsto F\phi + G\phi (where (Fϕ+Gϕ)(y)=(Fϕ)(y)+(Gϕ)(y)(F\phi + G\phi)(y) = (F\phi)(y) + (G\phi)(y)), is also a localized function transform. A function transformation FF is said to be **localized** if for every compact set KYK \subseteq Y, there exists a compact set LXL \subseteq X such that for any two functions ϕ,ϕ:XU\phi, \phi' : X \to U, if ϕ\phi and ϕ\phi' agree on LL (i.e., ϕ(x)=ϕ(x)\phi(x) = \phi'(x) for all xLx \in L), then their transforms FϕF\phi and FϕF\phi' agree on KK (i.e., (Fϕ)(y)=(Fϕ)(y)(F\phi)(y) = (F\phi')(y) for all yKy \in K).

theorem

Left multiplication by a function preserves localization of function transforms

#mul_left

Let F:(XR)(XR)F : (X \to \mathbb{R}) \to (X \to \mathbb{R}) be a localized function transform, meaning that for every compact set KXK \subseteq X, there exists a compact set LXL \subseteq X such that if any two functions ϕ,ϕ:XR\phi, \phi' : X \to \mathbb{R} satisfy ϕL=ϕL\phi|_L = \phi'|_L, then (Fϕ)K=(Fϕ)K(F\phi)|_K = (F\phi')|_K. For any function ψ:XR\psi : X \to \mathbb{R}, the transform defined by ϕψFϕ\phi \mapsto \psi \cdot F\phi (pointwise, (ψFϕ)(x)=ψ(x)(Fϕ)(x)(\psi \cdot F\phi)(x) = \psi(x) \cdot (F\phi)(x)) is also a localized function transform.

theorem

Right multiplication by a function preserves the localized property of a transformation

#mul_right

Let XX be a topological space. If F:(XR)(XR)F : (X \to \mathbb{R}) \to (X \to \mathbb{R}) is a localized function transform, then for any fixed function ψ:XR\psi : X \to \mathbb{R}, the transformation mapping each function ϕ:XR\phi : X \to \mathbb{R} to the pointwise product (Fϕ)ψ(F\phi) \cdot \psi (defined by x(Fϕ)(x)ψ(x)x \mapsto (F\phi)(x) \cdot \psi(x)) is also a localized function transform.

theorem

Left scalar multiplication by a function preserves localization of function transforms

#smul_left

Let VV be a real normed space. If F:(XU)(XV)F : (X \to U) \to (X \to V) is a localized function transform, then for any function ψ:XR\psi : X \to \mathbb{R}, the transformation mapping each function ϕ:XU\phi : X \to U to the pointwise scalar product xψ(x)(Fϕ)(x)x \mapsto \psi(x) \cdot (F\phi)(x) is also a localized function transform. A transformation is localized if for every compact set KXK \subseteq X, there exists a compact set LXL \subseteq X such that for any two functions ϕ,ϕ\phi, \phi', if ϕL=ϕL\phi|_L = \phi'|_L, then (Fϕ)K=(Fϕ)K(F\phi)|_K = (F\phi')|_K.

theorem

The Divergence Operator is a Localized Function Transform

#div

The divergence operator, which maps a vector field ϕ:Space dRd\phi : \text{Space } d \to \mathbb{R}^d to the scalar field xdiv ϕ(x)x \mapsto \text{div } \phi(x), is a localized function transform. Specifically, for any compact set KSpace dK \subseteq \text{Space } d, there exists a compact set LSpace dL \subseteq \text{Space } d such that for any two vector fields ϕ,ϕ:Space dRd\phi, \phi' : \text{Space } d \to \mathbb{R}^d, if ϕ(x)=ϕ(x)\phi(x) = \phi'(x) for all xLx \in L, then (div ϕ)(y)=(div ϕ)(y)(\text{div } \phi)(y) = (\text{div } \phi')(y) for all yKy \in K.

theorem

The divergence of a basis representation is a localized function transform

#div_comp_repr

The operator that maps a vector field ϕ:Space dSpace d\phi: \text{Space } d \to \text{Space } d to the divergence of its basis representation, given by xdiv(basis.reprϕ)(x)x \mapsto \text{div}(\text{basis.repr} \circ \phi)(x), is a localized function transform. Specifically, for every compact set KSpace dK \subseteq \text{Space } d, there exists a compact set LSpace dL \subseteq \text{Space } d such that for any two vector fields ϕ,ϕ:Space dSpace d\phi, \phi' : \text{Space } d \to \text{Space } d, if ϕ\phi and ϕ\phi' agree on LL (i.e., ϕ(x)=ϕ(x)\phi(x) = \phi'(x) for all xLx \in L), then the divergence of their basis representations agree on KK (i.e., div(basis.reprϕ)(y)=div(basis.reprϕ)(y)\text{div}(\text{basis.repr} \circ \phi)(y) = \text{div}(\text{basis.repr} \circ \phi')(y) for all yKy \in K).

theorem

The gradient \nabla is a localized function transform

#grad

The gradient operator, which maps a scalar function ψ:Space dR\psi : \text{Space } d \to \mathbb{R} to its gradient field xψ(x)x \mapsto \nabla \psi(x), is a localized function transform. This means that for any compact set KSpace dK \subseteq \text{Space } d, there exists a compact set LSpace dL \subseteq \text{Space } d such that for any two scalar functions ψ,ψ\psi, \psi', if ψ\psi and ψ\psi' agree on LL, then their gradients ψ\nabla \psi and ψ\nabla \psi' agree on KK.

theorem

The gradient is a localized function transform

#gradient

The gradient operator, which maps a function ψ:Space dR\psi: \text{Space } d \to \mathbb{R} to its gradient field xψ(x)x \mapsto \nabla \psi(x), is a localized function transform. That is, for every compact set KSpace dK \subseteq \text{Space } d, there exists a compact set LSpace dL \subseteq \text{Space } d such that for any two functions ψ,ψ:Space dR\psi, \psi' : \text{Space } d \to \mathbb{R}, if ψ(x)=ψ(x)\psi(x) = \psi'(x) for all xLx \in L, then their gradients agree on KK, i.e., ψ(y)=ψ(y)\nabla \psi(y) = \nabla \psi'(y) for all yKy \in K.

theorem

The transformation F(ϕ)(x)=f(x)(ϕ(x))F(\phi)(x) = f(x)(\phi(x)) is a localized function transform

#clm_apply

Let XX be a space and U,VU, V be normed spaces over R\mathbb{R}. Let L(U,V)\mathcal{L}(U, V) denote the space of continuous linear maps from UU to VV. For any function f:XL(U,V)f : X \to \mathcal{L}(U, V), the function transformation F:(XU)(XV)F : (X \to U) \to (X \to V) defined by (Fϕ)(x)=f(x)(ϕ(x))(F\phi)(x) = f(x)(\phi(x)) is a localized function transform. That is, for every compact set KXK \subseteq X, there exists a compact set LXL \subseteq X such that for any two functions ϕ,ϕ:XU\phi, \phi' : X \to U, if ϕ(x)=ϕ(x)\phi(x) = \phi'(x) for all xLx \in L, then (Fϕ)(x)=(Fϕ)(x)(F\phi)(x) = (F\phi')(x) for all xKx \in K.

theorem

The derivative is a localized function transform

#deriv

Let UU be a normed additive commutative group and a normed space over R\mathbb{R}. The function transformation that maps a function ϕ:RU\phi : \mathbb{R} \to U to its derivative ϕ\phi' is a localized function transform.

theorem

The Fréchet derivative in a direction dxdx is a localized function transform

#fderiv

Let XX be a proper normed space over R\mathbb{R} and UU be a normed space over R\mathbb{R}. For any fixed vector dxXdx \in X, the function transformation F:(XU)(XU)F : (X \to U) \to (X \to U) defined by (Fϕ)(x)=Dϕ(x)(dx)(F\phi)(x) = \text{D}\phi(x)(dx), where Dϕ(x)\text{D}\phi(x) denotes the Fréchet derivative of ϕ\phi at xx, is a localized function transform. Specifically, for every compact set KXK \subseteq X, there exists a compact set LXL \subseteq X such that for any two functions ϕ,ϕ:XU\phi, \phi' : X \to U, if ϕL=ϕL\phi|_L = \phi'|_L, then Dϕ(x)(dx)=Dϕ(x)(dx)\text{D}\phi(x)(dx) = \text{D}\phi'(x)(dx) for all xKx \in K.

theorem

The first component of a localized function transform is localized

#fst

Let F:(XU)(XW×V)F : (X \to U) \to (X \to W \times V) be a localized function transformation. Then the transformation mapping a function ϕ:XU\phi : X \to U to the function x(Fϕ(x))1x \mapsto (F \phi(x))_1 (the first component of the result of FϕF\phi at xx) is also a localized function transformation.

theorem

The second projection of a localized function transform is localized

#snd

Let F:(XU)(XW×V)F : (X \to U) \to (X \to W \times V) be a localized function transformation. Then the transformation G:(XU)(XV)G : (X \to U) \to (X \to V), defined such that for any function ϕ:XU\phi : X \to U and point xXx \in X, (Gϕ)(x)=proj2((Fϕ)(x))(G\phi)(x) = \text{proj}_2((F\phi)(x)) (the second component of the output of FF), is also a localized function transformation.

theorem

The product of localized function transforms is localized

#prod

Let F:(XU)(XW)F : (X \to U) \to (X \to W) and G:(XU)(XV)G : (X \to U) \to (X \to V) be two localized function transformations. Then the product transformation H:(XU)(XW×V)H : (X \to U) \to (X \to W \times V), defined such that for any function ϕ:XU\phi : X \to U and point xXx \in X, (Hϕ)(x)=(Fϕ(x),Gϕ(x))(H\phi)(x) = (F\phi(x), G\phi(x)), is also a localized function transformation.

theorem

The adjoint Fréchet derivative is a localized function transform

#adjFDeriv

Let XX and YY be real inner product spaces, and let XX be a proper space (i.e., a space where every closed and bounded set is compact). For a fixed vector dyYdy \in Y, the function transformation F:(XY)(XX)F : (X \to Y) \to (X \to X) defined by F(ϕ)(x)=(Dϕ(x))(dy)F(\phi)(x) = (D\phi(x))^\dagger(dy), where (Dϕ(x))(D\phi(x))^\dagger is the adjoint of the Fréchet derivative of ϕ\phi at xx, is a localized function transform. Specifically, for every compact set KXK \subseteq X, there exists a compact set LXL \subseteq X such that for any two functions ϕ,ϕ:XY\phi, \phi' : X \to Y, if ϕ\phi and ϕ\phi' agree on LL, then FϕF\phi and FϕF\phi' agree on KK.