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A strict occupied gap defines a unique rank-r spectral projector

Statement

For every X∈U at which the response map of The occupied-projector response map on its strict-gap domain has a strict rth gap, Φ(X) is a uniquely defined member of Pr. Degeneracies among the first r eigenvalues or among the remaining eigenvalues do not affect it.

Facts & Assumptions

Given: A Hermitian matrix F(X) with ordered eigenvalues λ1≤⋯≤λn and λr<λr+1.

[F2]

The response-map definition selects the sum of eigenspaces belonging to the r lowest eigenvalues (The occupied-projector response map on its strict-gap domain).

[L1]

Pr={P=P∗:P2=P,tr⁡P=r} (Rank-r orthogonal projector domain).

[F3]

The trace of a square matrix is the sum of its diagonal entries (The trace tr⁡(A) as the sum of the diagonal entries).

Proof

1.1givenF1algebra

By [F1], choose an orthonormal eigenbasis (u1,…,un) of F(X) with the eigenvalues in the given order. The strict gap prevents an eigenspace for one eigenvalue from straddling positions r and r+1, so the sum of the first r eigenspaces is the span of exactly the first r basis vectors.

2.1step 1.1F1F2F3L1algebra

Changing the orthonormal basis within a repeated eigenspace below the gap leaves that entire eigenspace in the sum; changing one within a repeated eigenspace above the gap leaves that entire eigenspace out. Thus the selected subspace does not depend on the eigenbasis chosen in step 1.1. Its orthogonal projector is P=∑j=1rujuj∗, which satisfies P=P∗ and P2=P by orthonormality. By [F3], tr⁡P=∑a=1nPaa=∑a=1n∑j=1r(uj)a(uj)a‾=∑j=1r∑a=1n∣(uj)a∣2=∑j=1r1=r, since each uj is a unit vector.

3.1step 2.1F2L1∎

The operator in step 2.1 is independent of all allowed basis choices, lies in Pr by [L1], and is exactly the map specified by [F2]. Hence it is the unique rank-r occupied spectral projector.

Depends on

Used by

Cited to discharge well-definedness by The occupied-projector response map on its strict-gap domain.

Dependency tree · two levels

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Sources