Physlib.Mathematics.VariationalCalculus.HasVarAdjoint
27 declarations
Symmetry of the variational adjoint for localized transforms
#symmLet and be transformations between function spaces. If is the variational adjoint of , and is a localized function transform, then is the variational adjoint of . A function transformation is said to be **localized** if for every compact set , there exists a compact set such that for any two functions , if for all , then for all .
The variational adjoint of the identity is the identity
#idThe identity transformation , defined by for any function , is its own variational adjoint.
The variational adjoint of the zero operator is the zero operator
#zeroThe zero transformation , defined by for all functions , has a variational adjoint given by the zero transformation , defined by for all functions .
The variational adjoint of is
#compLet and be transformations between function spaces. Suppose has a variational adjoint , and has a variational adjoint . Then the composition of these transformations (where ) has a variational adjoint given by the composition of their adjoints in reverse order, (where ).
Equality on test functions implies the same variational adjoint
#congr_funLet and be operators between function spaces. If is the variational adjoint of , and for every test function , the equality holds, then is also the variational adjoint of .
Equality on test functions implies variational adjointness for localized transforms
#of_eqLet and be transformations between function spaces. Suppose that is a variational adjoint of , and that for every test function , the condition holds. If is a localized function transform, then is also a variational adjoint of . A function transformation is said to be **localized** if for every compact set , there exists a compact set such that for any two functions , if and agree on (i.e., for all ), then and agree on (i.e., for all ).
Uniqueness of variational adjoint on test functions
#unique_on_test_functionsLet be a space equipped with a measure (the volume measure) such that open sets are measurable, is finite on compact sets, and is strictly positive on non-empty open sets. Let be an operator mapping functions from to to functions from to . If and are both variational adjoints of , then for every test function (a smooth function with compact support), the equality holds.
Variational Adjoints of are Equal on Smooth Functions
#uniqueLet and be real inner product spaces equipped with measures, and let be finite-dimensional. Assume that the volume measure on is finite on compact sets and strictly positive on non-empty open sets. Let be an operator mapping functions from to to functions from to . If and are both variational adjoints of , then for any smooth () function , it holds that .
The variational adjoint of is
#negLet be a function transformation from functions on to functions on , and let be its variational adjoint. Then the transformation defined by has a variational adjoint defined by .
If has variational adjoint , then has variational adjoint
#of_negLet be a function transformation mapping functions from to into functions from to , and let be a function transformation mapping functions from to into functions from to . If the transformation defined by has the variational adjoint , then has the variational adjoint .
The variational adjoint of is
#addLet and be function transformations mapping functions from to into functions from to . If has a variational adjoint and has a variational adjoint , then the pointwise sum transformation , defined by , has the variational adjoint , defined by .
The variational adjoint of is
#sumLet be a finite index set. For each , let be an operator mapping functions from to to functions from to , and let be its corresponding variational adjoint mapping functions from to to functions from to . If for every , has the variational adjoint , then the sum of these operators has a variational adjoint given by the sum of their individual adjoints . Specifically, the operator mapping to the pointwise sum has the variational adjoint mapping to .
The variational adjoint of is
#subLet and be transformations mapping functions from to into functions from to . If has a variational adjoint and has a variational adjoint , then the pointwise difference transformation , defined by , has the variational adjoint , defined by .
Variational Adjoint of is
#mul_leftSuppose is an operator that maps functions to functions , and is its variational adjoint. If is a smooth () function, then the operator mapping to the pointwise product has a variational adjoint which maps a function to , where is the pointwise product of and .
Variational adjoint of right multiplication by a smooth function
#mul_rightLet and be spaces. Let be an operator that possesses a variational adjoint . If is a smooth function (i.e., is ), then the operator defined by the pointwise product also has a variational adjoint. This adjoint is given by the mapping , where .
Variational adjoint of is
#smul_leftLet be an operator mapping functions to functions , and let be its variational adjoint. If is a smooth () function, then the operator that maps to the pointwise scalar product has a variational adjoint. This adjoint maps a function to , where .
Variational adjoint of scalar multiplication by a smooth function
#smul_rightLet be an operator that possesses a variational adjoint . If is a smooth () function, then the operator defined by the pointwise scalar multiplication also has a variational adjoint. This adjoint is given by the mapping , where .
The variational adjoint of is
#clm_applyLet and be complete generalized inner product spaces over . Let be an infinitely differentiable () function that maps each point to a continuous linear map . Then the operator that maps a function to the function has a variational adjoint. This variational adjoint maps a function to the function defined by , where is the adjoint of the continuous linear map .
The variational adjoint of the derivative is the negative derivative
#derivLet be a real generalized inner product space. The derivative operator, which maps a function to its derivative , possesses a variational adjoint. This adjoint operator maps a function to its negative derivative . This relationship corresponds to the identity for all test functions and .
The variational adjoint of is
#fderiv_applyLet be a finite-dimensional real vector space equipped with an additive Haar measure (volume), and let be a real generalized inner product space. For any fixed vector , the linear operator that maps a test function to its directional Fréchet derivative has a variational adjoint . This adjoint operator is given by , where denotes the Fréchet derivative of the test function at .
The variational adjoint of is
#adjFDeriv_applyLet and be real generalized inner product spaces, where is finite-dimensional, proper, and equipped with an additive Haar measure. For a fixed vector , let be the linear operator that maps a function to the function , where is the adjoint of the Fréchet derivative of at . The variational adjoint of is the operator that maps a function to the function . This relationship is characterized by the identity: for all test functions and .
The variational adjoint of is
#gradientLet be the -dimensional real inner product space denoted by `Space d`. Let be the operator that maps a scalar function to its gradient field . The variational adjoint of is the operator that maps a vector field to the scalar function , where denotes the representation of a vector in the canonical basis of . This relationship is defined by the integral identity: for all test functions and .
The variational adjoint of is
#gradLet be a -dimensional real inner product space (denoted as `Space d`). The operator that maps a scalar function to its gradient field has a variational adjoint. This adjoint maps a vector field to the scalar function defined by , where is the divergence operator. This relationship is characterized by the integral identity: for all appropriate test functions and .
The variational adjoint of is
#divLet be a -dimensional real inner product space (denoted as `Space d`). The divergence operator, which maps a vector field to a scalar function , has a variational adjoint. This adjoint maps a scalar function to the vector field defined by , where is the gradient operator. This relationship is characterized by the integral identity: for all appropriate test functions and .
The variational adjoint of is
#prodLet be a measurable space where open sets are measurable, and let the volume measure on be finite on compact sets. Let and be operators with variational adjoints and , respectively. Then the product operator , which maps a function to the pair of functions , has a variational adjoint . For any function , this adjoint is given by where and are the first and second components of in , respectively.
Variational Adjoint of the First Component of an Operator
#fstLet be a space and be target spaces. Let be an operator that maps functions to functions . If has a variational adjoint , then the operator defined by the first component of , , also has a variational adjoint . For any function , this adjoint is given by , where is the function defined by for all .
Variational Adjoint of the Second Component Operator
#sndLet be an operator that maps functions to functions . Suppose has a variational adjoint . Then the operator defined by (the projection onto the second component of the output) also has a variational adjoint. This adjoint maps a test function to , where is the function defined by .
