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A finite dimensional analog of the Krein formula
Mathematical Physics · Submitted 25 Sep 2002
abstract compiled · 2026-09-23 · no language-model review
The authors' main claim I offer a simple and useful formula for the resolvent of a small rank perturbation of large matrices.
The compiled record
The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.
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The abstract, sentence by sentence
I offer a simple and useful formula for the resolvent of a small rank perturbation of large matrices. I discuss applications of this formula, in particular, to analytical and numerical solving of difference boundary value problems. I present examples connected with such problems for the difference Laplacian and estimate numerical efficiency of the corresponding algorithms.
background contribution method result interpretation main claim
| # | sentence | role | the authors' own work | states the main conclusion | strength |
|---|---|---|---|---|---|
| s0 | I offer a simple and useful formula for the resolvent of a small rank perturbation of large matrices. | contribution 0.98 | 0.93 | 0.76 | asserted 1.00 |
| s1 | I discuss applications of this formula, in particular, to analytical and numerical solving of difference boundary value problems. | contribution 0.97 | 0.86 | 0.10 | asserted 0.98 |
| s2 | I present examples connected with such problems for the difference Laplacian and estimate numerical efficiency of the corresponding algorithms. | contribution 0.85 | 0.92 | 0.12 | asserted 1.00 |
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The paper
Original abstract
I offer a simple and useful formula for the resolvent of a small rank perturbation of large matrices. I discuss applications of this formula, in particular, to analytical and numerical solving of difference boundary value problems. I present examples connected with such problems for the difference Laplacian and estimate numerical efficiency of the corresponding algorithms.
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