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Every rank-r orthogonal projector is an admissible density
Statement
Every belongs to the admissible density domain .
Facts & Assumptions
Given: satisfies , , and , where .
The rank- projector set is (Rank-r orthogonal projector domain).
A finite-dimensional Hermitian matrix has an orthonormal eigenbasis and real eigenvalues (Complex spectral theorem: a normal endomorphism of a finite-dimensional complex inner product space has an orthonormal eigenbasis, and conversely).
The admissible domain consists of Hermitian positive contractions of trace (The fixed-particle admissible Hermitian density domain).
Proof
By [F2], choose a unitary eigenbasis of with real eigenvalues . From , each satisfies , hence . Therefore every eigenvalue lies between and , so for each the quadratic forms and are nonnegative.
The matrix is Hermitian and has trace by [F1]; step 1.1 gives . These are exactly the conditions in [F3], so .
Depends on
Used by
- A convex density mixture can be admissible without being a projector Example
- Density mixing preserves admissibility but need not preserve idempotence Lemma
Cited to discharge well-definedness by The fixed-particle admissible Hermitian density domain.
Dependency tree · two levels
11 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Eric Cancès, Gaspard Kemlin, and Antoine Levitt, Convergence analysis of direct minimization and self-consistent iterations, §2.1 (standard reference, not scraped)
- Eric Cancès and Claude Le Bris, On the convergence of SCF algorithms for the Hartree-Fock equations, §2.1 (standard reference, not scraped)