Skip to content
#edge computing Open access

Finite Bipartite Graphs as Induced Subgraphs of Subfactor Principal Graphs

Sep 2026 · Zenodo (CERN European Organization for Nuclear Research)
Advanced Graph Theory Research

Abstract

Every finite bipartite simple graph occurs as a vertex-induced unrooted subgraph of the principal graph of an irreducible finite-depth inclusion of hyperfinite type II1 factors. For part sizes m and n, an explicit neighborhood-multiplicity parameter q gives index q3^n, with q at most m+1, and depth at most four. The selected vertices have depths two and three. The complete depth ranks and adjacency spectrum are computed. A separate amplification realizes every finite bipartite multigraph as an ordinary subgraph, with edge deletion allowed. Scope: complete theorem for finite unrooted simple subgraphs across variable indices, not closure of the full AIM polymer programme, fixed-index rooted extension, infinite subgraphs or induced multigraph universality. The finite-group subfactor construction and representation-theoretic ingredients are classical. Historical novelty confidence is low, possibly folklore; no absolute priority is claimed. AI-assisted, self-audited, unrefereed preprint. No independent peer review or formal verification is claimed. Author: Alper Ferudun, Mercury Software GmbH. Corpus identifier: AIM-OTHER-0060, UnsolvedMath v1.6.0. Paper page: https://eulersolve.org/papers/aim-other-0060/

View source

Similar papers

#computer vision Review Sep 2017

Agile Software Development Methods: Review and Analysis

This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.

P. Abrahamsson, O. Salo, Jussi Ronkainen et al. · 727 citations · ⚡54
#computer vision Jun 2008

The impact of agile practices on communication in software development

The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.

M. Pikkarainen, Jukka Haikara, O. Salo et al. · 401 citations · ⚡48
#machine learning Review Open access Oct 2014

Software development in startup companies: A systematic mapping study

The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.

Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al. · 394 citations · ⚡54

Related blog posts

Microsoft Research Blog Oct 6, 2026

What AI gets wrong and what failure teaches us

Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity.  The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.