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Research PaperResearchia:202604.07042[Pharmaceutical Research > Biochemistry]

Eigencone Constellations on Ranked Spheres

Norayr Matevosyan

Abstract

We introduce eigencone constellations, a hierarchical framework for embedding bounded-degree spatial graphs into concentric spherical shells and partitioning each shell into spectrally weighted, spherical star-shaped territories. Given a connected sparse spatial graph GG with a distinguished root vertex (the queen), we assign each vertex to a sphere whose radial position is determined by its graph distance from the queen, then tessellate each sphere into constellation territories whose solid angles are proportional to the spectral mass of the corresponding subgraph. Within each territory, nodes are packed by constrained repulsion, yielding local simplex structures. The resulting geometric representation provides a structural framework for measuring spectral distance between dynamic subgraph states. By combining this eigencone-derived metric with constraints on the domain-specific edit alphabet, we define a forward-only deterministic trajectory -- the isomorphic walk -- which converges graph edits efficiently. We define the notion of spherical star-shaped domains with geodesic visibility, establish their properties under spectral projection, and demonstrate the trajectory convergence on molecular contact graphs.


Source: arXiv:2604.03554v1 - http://arxiv.org/abs/2604.03554v1 PDF: https://arxiv.org/pdf/2604.03554v1 Original Link: http://arxiv.org/abs/2604.03554v1

Submission:4/7/2026
Comments:0 comments
Subjects:Biochemistry; Pharmaceutical Research
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arXiv: This paper is hosted on arXiv, an open-access repository
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Eigencone Constellations on Ranked Spheres | Researchia