A joint orthonormal eigenbasis for a pair of operators x a : H →L[ℂ] H:
an orthonormal basis basis of H, indexed by Fin (finrank ℂ H), each of whose
vectors is an eigenvector of x with real eigenvalue lam k and an eigenvector
of a with real eigenvalue mu k.
Such a datum exists exactly when x and a are commuting self-adjoint operators:
see Orthogonalization.FinDim.exists_jointEigenbasis for one direction and
JointEigenbasis.isSelfAdjoint_fst, JointEigenbasis.isSelfAdjoint_snd,
JointEigenbasis.commute for the other.
- basis : OrthonormalBasis (Fin (Module.finrank ℂ H)) ℂ H
The orthonormal basis of joint eigenvectors.
- lam : Fin (Module.finrank ℂ H) → ℝ
The (real) eigenvalues of the first operator
x. - mu : Fin (Module.finrank ℂ H) → ℝ
The (real) eigenvalues of the second operator
a.
Instances For
Simultaneous diagonalization. Two commuting self-adjoint operators on a finite-dimensional complex inner product space admit a joint orthonormal eigenbasis with real eigenvalues.
Elementary consequences of the eigen-equations #
Two continuous operators agreeing on the joint eigenbasis are equal.
Exchanging the roles of the two operators.
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The rank-one spectral projections #
The orthogonal projection onto the line spanned by the k-th joint
eigenvector, i.e. the k-th rank-one spectral projection of the pair.
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Each P k is an orthogonal (star) projection: self-adjoint and idempotent.
A variant of P_apply_basis phrased as a scalar multiple of basis l, convenient
for module-style computations.
Distinct rank-one spectral projections are orthogonal.
The rank-one spectral projections form a resolution of the identity.
Spectral decomposition #
The spectral decomposition of x in its joint eigenbasis.
The spectral decomposition of a in its joint eigenbasis.
An operator carrying a joint eigenbasis (with real eigenvalues) is self-adjoint.
The second operator of a joint eigenbasis is self-adjoint.
Operators sharing a joint eigenbasis commute.
Commutation with the spectral projections #
A self-adjoint operator having basis k as an eigenvector with a real
eigenvalue commutes with the corresponding rank-one projection P k.
Trace #
The trace of x is the sum of its eigenvalues.
The trace of a is the sum of its eigenvalues.
The Loewner order and the eigenvalues #
A nonnegative combination of the rank-one spectral projections is a positive operator.
If all eigenvalues of x are nonnegative then 0 ≤ x in the Loewner order.
If all eigenvalues of x are at most 1 then x ≤ 1 in the Loewner order.
Conversely, 0 ≤ x forces every eigenvalue of x to be nonnegative.
Conversely, x ≤ 1 forces every eigenvalue of x to be at most 1.
x is in the operator interval [0, 1] exactly when all its eigenvalues are.
The projections among the operators of a joint eigenbasis #
An operator diagonal in an orthonormal basis with real eigenvalues is a star
projection exactly when all its eigenvalues are 0 or 1.
Perturbations: moving eigenvalue mass between two basis vectors #
These are the operations Lemma 3.1 performs on an extreme point of its convex
set: they preserve the joint eigenbasis (hence the commutation with a and the
self-adjointness), preserve or shift the trace by a controlled amount, and stay
inside [0, 1] as long as the perturbed eigenvalues do.
Adding δ to the k-th eigenvalue and subtracting δ from the l-th one:
the operator x + δ • (P k - P l) is still diagonal in J.basis, and still has
a as a joint partner.
Equations
- One or more equations did not get rendered due to their size.
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Every eigenvalue of the two-sided shift is either one of the two moved ones or an
untouched eigenvalue of x.
The two-sided shift still commutes with a.
The two-sided shift is self-adjoint.
The two-sided shift preserves the trace.
The two-sided shift stays in the operator interval [0, 1] as soon as the
shifted eigenvalues do.
The form in which Lemma 3.1 uses the previous statement: if x already lies in
[0, 1] eigenvalue-wise and the two moved eigenvalues stay in [0, 1], then so does
the perturbed operator.
Adding δ to the k-th eigenvalue only: the operator x + δ • P k is still
diagonal in J.basis, and still has a as a joint partner.
Equations
Instances For
Every eigenvalue of the one-sided shift is either the moved one or an untouched
eigenvalue of x.
The one-sided shift still commutes with a.
The one-sided shift is self-adjoint.
The one-sided shift moves the trace by exactly δ.
The one-sided shift stays in the operator interval [0, 1] as soon as the
shifted eigenvalues do.
The form in which Lemma 3.1 uses the previous statement.