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Preprint . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Two-Centre Multipole Gram Certification in Structured Gaussian Traps: Block Stability, Effective-Depth Obstructions, and Nonseparable Stress Tests

Authors: Panasenko, Dmytro;

Two-Centre Multipole Gram Certification in Structured Gaussian Traps: Block Stability, Effective-Depth Obstructions, and Nonseparable Stress Tests

Abstract

This preprint studies finite-depth multipole Gram certification for a two-centre structured Gaussian trap. It combines a finite-dimensional block-stability theorem with reproducible numerical diagnostics up to depth L=3, threshold-sensitivity tests, and weak nonseparable perturbation stress tests. The manuscript distinguishes numerical threshold validity from theorem-level block certification and documents effective-depth obstructions arising from inter-centre leakage and dictionary conditioning.

Keywords

nonseparable perturbation, two-centre traps, multipole Gram matrices, mathematical physics, block stability, spectral certification, structured Gaussian traps, effective-depth obstruction, finite-dimensional certification, numerical linear algebra, reproducibility, condition number

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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