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Record W2188244362 · doi:10.82308/16876

Claw-free graphs and two conjectures on omega, Delta, and chi

2009· article· en· W2188244362 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueeScholarship@McGill (McGill) · 2009
Typearticle
Languageen
FieldComputer Science
TopicAdvanced Graph Theory Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsCombinatoricsMathematicsConjectureNeighbourhood (mathematics)ClawVertex (graph theory)Discrete mathematicsUpper and lower boundsChromatic scaleGraph

Abstract

fetched live from OpenAlex

This thesis concerns the relationship between four graph invariants: omega, chi_f, chi, and Delta. These are the clique number, the fractional chromatic number, the chromatic number, and the maximum degree, respectively. Trivially omega <= chi_f <= chi <= Delta + 1. We seek to improve the upper bound on chi. We are motivated by a conjecture of Reed, which essentially states that chi is at most the average of its trivial upper and lower bounds: Conjecture. For any graph, chi <= (Delta + 2 + omega)/2. We call this the Main Conjecture, and propose a Local Strengthening based on the closed neighbourhood of a single vertex: Conjecture. For any graph G, chi <= max{v in V(G)} (d(v) + 2 + omega(G[N(v)]) + 1) / 2. We begin by showing that much of the early evidence supporting the Main Conjecture also supports the Local Strengthening. In particular, the variant of the Local Strengthening obtained by replacing chi by chi_f holds, as does the Local Strengthening when the stability number is two. Guided by the first of these results we look towards line graphs, for which chi_f and chi agree asymptotically. We prove the Main Conjecture for line graphs, then we seek to generalize this result. To do this we use recent results of Chudnovsky and Seymour, who characterized the structure of all claw-free graphs. We refine their results by introducing a graph reduction on certain types of homogeneous pairs of cliques that preserves the chromatic number. Thus we need only consider the problem of colouring _skeletal_ claw-free graphs, which cannot be reduced. The structure of skeletal claw-free graphs is simpler than that of general claw-free graphs. We generalize two results from line graphs to the class of quasi-line graphs. Namely, that the Main Conjecture holds, and that chi_f and chi agree asymptotically. We then consider all claw-free graphs. We prove the Main Conjecture for all claw-free graphs and we prove the Local

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Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.176
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.264
Teacher spread0.248 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it