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Record W4411687192 · doi:10.61091/um123-01

Crosscap two characterization of dot product graphs of commutative rings

2025· article· en· W4411687192 on OpenAlexvenueno aff
Varun Ramanathan, K. Selvakumar, C. Selvaraj

Bibliographic record

VenueUtilitas Mathematica · 2025
Typearticle
Languageen
FieldMathematics
TopicRings, Modules, and Algebras
Canadian institutionsnot available
FundersUniversity Grants Commission
KeywordsMathematicsCharacterization (materials science)Commutative propertyProduct (mathematics)Dot productCombinatoricsDiscrete mathematicsNanotechnologyGeometryMaterials science

Abstract

fetched live from OpenAlex

<p>Let <span class="math inline">\(A\)</span> be a commutative ring with nonzero identity and <span class="math inline">\(n\geq 2\)</span> be a positive integer. With the ring <span class="math inline">\(R=A\times\cdots\times A\)</span> (<span class="math inline">\(n\)</span> times), one can associate graphs <span class="math inline">\(TD(R)\)</span> and <span class="math inline">\(ZD(R)\)</span> respectively called the total dot product graph and the zero-divisor dot product graph of <span class="math inline">\(R\)</span>. In this paper, we study some topologicaal properties of these two dot product graphs of <span class="math inline">\(R.\)</span> In particular, it is shown that, the zero-divisor dot product graph <span class="math inline">\(ZD(R)\)</span> is a projective graph if and only if <span class="math inline">\(R\)</span> is isomorphic to <span class="math inline">\(\frac{Z_2\left[x\right]}{\left\langle x^2+x+1\right\rangle}\times\frac{Z_2\left[x\right]}{\left\langle x^2+x+1\right\rangle}.\)</span> Moreover, we prove that no total dot product graph can be projective. With these observations, we classify all commutative rings for which dot product graphs <span class="math inline">\(ZD(R)\)</span> and <span class="math inline">\(TD(R)\)</span> have crosscap two.</p>

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

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 categoriesnone
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 score0.115
Threshold uncertainty score0.825

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.029
GPT teacher head0.315
Teacher spread0.285 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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