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PreprintarXiv licencearXiv

Edge-Defect Spectral Methods for Higher-Order Rankings of Spanning Tree Counts

Abstract

In this paper, we study the higher-order ranking, by spanning-tree count, of graphs obtained from a complete graph by deleting a fixed number of edges. Using the edge-defect matrix determined by the deleted edges and the interaction number measuring the local overlap among them, we derive a stability inequality that quantitatively estimates the decrease in the number of spanning trees from the matching-deletion case. Combining this stability estimate with a classification of deletion graphs having small interaction number, we determine, up to isomorphism, the nine deletion graphs with the largest spanning-tree counts for p≥6 and n≥2p. We also clarify the relation between the interaction number, the local structure of the deletion graph, and the decrease in the number of spanning trees through a logarithmic expansion of the normalized spanning-tree count.

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BibTeX
@misc{tamura2026edgedefect,
  title = {{Edge-Defect Spectral Methods for Higher-Order Rankings of Spanning Tree Counts}},
  author = {Shunya Tamura and José Luis Palacios},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.33979},
  eprint = {2609.33979},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.33979},
}
RIS
TY  - UNPB
TI  - Edge-Defect Spectral Methods for Higher-Order Rankings of Spanning Tree Counts
AU  - Shunya Tamura
AU  - José Luis Palacios
PY  - 2026
DA  - 2026/09/27
PB  - arXiv
DO  - 10.48550/arxiv.2609.33979
UR  - https://arxiv.org/abs/2609.33979
AB  - In this paper, we study the higher-order ranking, by spanning-tree count, of graphs obtained from a complete graph by deleting a fixed number of edges. Using the edge-defect matrix determined by the deleted edges and the interaction number measuring the local overlap among them, we derive a stability inequality that quantitatively estimates the decrease in the number of spanning trees from the matching-deletion case. Combining this stability estimate with a classification of deletion graphs having small interaction number, we determine, up to isomorphism, the nine deletion graphs with the largest spanning-tree counts for p≥6 and n≥2p. We also clarify the relation between the interaction number, the local structure of the deletion graph, and the decrease in the number of spanning trees through a logarithmic expansion of the normalized spanning-tree count.
ER  -