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A successful LOBPCG Rayleigh-Ritz update cannot increase the selected Ritz values
Statement
Let and . Suppose one successful update of
Finite-budget block LOBPCG for a Hermitian-definite pencil with explicit rank-loss status starts from a -dimensional
-orthonormal block with selected Ritz values
. The update forms a trial space
, retains the old block, and selects the
smallest generalized Ritz values on . Then
This assertion applies only to an update that reaches the Rayleigh-Ritz step;
the algorithm's rank-loss and budget-exhausted exits make no update claim.
Facts & Assumptions
Given: One successful LOBPCG update for a Hermitian-definite pair, with the old block retained in its trial space.
Finite-budget block LOBPCG for a Hermitian-definite pencil with explicit rank-loss status: the trial block is , so it retains .
Finite-budget block LOBPCG for a Hermitian-definite pencil with explicit rank-loss status: a successful projected solve selects the smallest Ritz values on the full trial span and uses their Ritz vectors as .
Generalized Ritz values obey min-max bounds and are monotone under trial-space inclusion: if , then for each index available in .
Proof
On the successful branch, [F1] constructs with , and [F2] sets the new block to the q smallest Ritz vectors on . Hence and .
Apply [L1] to . It gives for every ; substituting the equalities from step 1.1 proves the claim.
Depends on
Used by
Dependency tree · two levels
6 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
- Peter Arbenz, Lecture Notes on Solving Large Scale Eigenvalue Problems, §13.6 (standard reference, not scraped)
- Andrew Knyazev, Recent implementations, applications, and extensions of LOBPCG, §1 (standard reference, not scraped)