Coarse-graining support: Support.Book.Ch02.Matrices #
Imported from the Apache-2.0 CoarseGraining development at commit
c7ddd76c08ade64fed1b8d2ca51be14dfee8deb4.
Public normalized matrix average over a Chapter 2 domain.
Equations
- HCPolySupport.Book.Ch02.averageMat U A i j = HCPolySupport.Book.Ch02.average U fun (x : HCPolySupport.Vec d) => A x i j
Instances For
The note-facing harmonic-mean matrix
\fint_U symmPart(a)^{-1}.
Equations
- HCPolySupport.Book.Ch02.averagedSymmPartInv U a = HCPolySupport.Book.Ch02.averageMat U fun (x : HCPolySupport.Vec d) => (HCPolySupport.symmPart (a.toCoeffField x))⁻¹
Instances For
The note-facing upper coefficient average
\fint_U (symmPart(a) + skewPart(a)^t symmPart(a)^{-1} skewPart(a)).
Equations
- One or more equations did not get rendered due to their size.
Instances For
The harmonic-mean matrix depends only on the coefficient field up to a.e. equality on the domain.
The upper coefficient average depends only on the coefficient field up to a.e. equality on the domain.
The coarse-grained response matrices extracted from the quadratic response
functional. We keep sigmaStarInv primitive at this stage; constructing
sigmaStar itself belongs to the later positivity/invertibility theorem.
- sigma : Mat d
The matrix parameter
σin the coarse quadratic response representation. - sigmaStarInv : Mat d
The primitive matrix parameter representing
σ*⁻¹in the coarse quadratic response. - kappa : Mat d
The coupling matrix
κin the coarse quadratic response representation.
Instances For
The derived coarse matrix sigmaStar = sigmaStarInv^{-1}.
Equations
- M.sigmaStar = M.sigmaStarInv⁻¹
Instances For
The derived coarse matrix b = sigma + kappa^t sigmaStarInv kappa.
Equations
- M.b = M.sigma + HCPolySupport.matTranspose M.kappa * M.sigmaStarInv * M.kappa
Instances For
The derived coarse coefficient matrix a = sigma - kappa^t.
Instances For
Entry formula for the canonical coarse matrix sigmaStarInv.
The diagonal entries are extracted from the pure q response, while the
off-diagonal entries use the usual polarization identity.
Equations
- One or more equations did not get rendered due to their size.
Instances For
The entry formula for sigmaStarInv is symmetric by construction.
The entry formula for sigmaStarInv depends only on the coefficient field
up to a.e. equality on the domain.
The canonical coarse matrix sigmaStarInv(U; a) extracted from J(U,0,q;a).
Equations
Instances For
The canonical matrix sigmaStarInv(U; a) is symmetric by polarization.
The canonical matrix sigmaStarInv(U; a) is invariant under a.e. changes
of coefficient representative.
The canonical coarse matrix sigmaStar(U; a), represented as the
nonsingular-inverse expression of sigmaStarInv(U; a). The later positivity
theory proves that this is the genuine inverse in the note-facing cases.
Equations
Instances For
The canonical matrix sigmaStar(U; a) is invariant under a.e. changes of
coefficient representative.
The canonical matrix sigmaStar(U; a) is symmetric.
The canonical mixed matrix sigmaStarInv(U; a) * kappa(U; a), extracted
directly from the mixed response.
Equations
- HCPolySupport.Book.Ch02.sigmaStarInvKappaCoarse U a i j = HCPolySupport.Book.Ch02.mixedResponse U a (Pi.single j 1) (Pi.single i 1)
Instances For
The canonical mixed matrix is invariant under a.e. changes of coefficient representative.
The canonical coupling matrix kappa(U; a).
Equations
Instances For
The canonical coupling matrix is invariant under a.e. changes of coefficient representative.
Under nondegeneracy, sigmaStar(U; a) is the right inverse of
sigmaStarInv(U; a).
Under nondegeneracy, sigmaStar(U; a) is the left inverse of
sigmaStarInv(U; a).
Under nondegeneracy, the canonical kappa definition really solves
sigmaStarInv * kappa = sigmaStarInvKappa.
Vector form of
sigmaStarInvCoarse_mul_kappaCoarse_eq_sigmaStarInvKappaCoarse.
Entry formula for the canonical coarse matrix sigma.
As for sigmaStarInv, the diagonal entries come from the quadratic values and
the off-diagonal entries from polarization.
Equations
- One or more equations did not get rendered due to their size.
Instances For
The canonical coarse matrix sigma(U; a).
Equations
- HCPolySupport.Book.Ch02.sigmaCoarse U a i j = HCPolySupport.Book.Ch02.sigmaEntry U a i j
Instances For
The canonical matrix sigma(U; a) is symmetric by polarization.
The canonical matrix sigma(U; a) is invariant under a.e. changes of
coefficient representative.
The canonical package of coarse-grained response matrices.
Equations
- One or more equations did not get rendered due to their size.
Instances For
The canonical package of coarse-grained response matrices is invariant under a.e. changes of coefficient representative.
The sigma component of the canonical matrix package is symmetric.
The sigmaStarInv component of the canonical matrix package is symmetric.
The corrected p-response whose quadratic form defines sigma.
Equations
- One or more equations did not get rendered due to their size.
Instances For
The corrected response for a fixed matrix package depends only on the coefficient field up to a.e. equality on the domain.
Canonical derived adjoint coarse coefficient matrix.
Equations
Instances For
The canonical derived matrix aStar(U; a) is invariant under a.e. changes
of coefficient representative.