An isometry is a matrix A such that AAᴴ = 1. Compare with a unitary, which
requires AAᴴ = AᴴA = 1. It is common to claim that, in a finite-dimensional vector
space, a two-sided isometry (A.Isometry ∧ Aᴴ.Isometry) must be square and therefore unitary;
this is does not work out so well here, since a Matrix m n R can be a two-sided isometry,
but cannot be a unitary since the rows and columns are index by different labels.
Equations
- A.Isometry = (A.conjTranspose * A = 1)
Instances For
Generalizes Matrix.IsHermitian.cfc.eq_1, which gives a definition for the matrix CFC in terms of
Matrix.IsHermitian.eigenvalues and Matrix.IsHermitian.eigenvectorUnitary, to show that the CFC works
similarly for any diagonalization by a two-sided isometry.
Generalizes Matrix.IsHermitian.cfc.eq_1, which gives a definition for the matrix CFC in terms of
Matrix.IsHermitian.eigenvalues and Matrix.IsHermitian.eigenvectorUnitary, to show that the CFC works
similarly for any diagonalization.
Similar to LinearMap.IsSymmetric.orthogonalFamily_eigenspace_inf_eigenspace, but here the direct sum
is indexed by only the pairs of eigenvalues, as opposed to all pairs of 𝕜 values, giving a finite
decomposition.
Variant of iSup_mono' that allows for an easier handling of bottom elements.
Equations
- Commute.isSymmetric_directSumDecomposition hA hB hAB = ⋯.decomposition ⋯
Instances For
Similar to LinearMap.IsSymmetric.directSum_isInternal_of_commute, but here the direct sum
is indexed by only the pairs of eigenvalues, as opposed to all pairs of 𝕜 values, giving a finite
decomposition.
Equations
Equations
- instInvertibleMatrixValMemSubmonoidUnitaryGroup_quantumInfo U = { invOf := star ↑U, invOf_mul_self := ⋯, mul_invOf_self := ⋯ }
If two Hermitian matrices commute, there exists a common matrix that they are both a CFC of.