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Record W10105315

On Asymmetric Colorings of Integer Grids.

2002· article· en· W10105315 on OpenAlexvenueno aff
Тарас Банах, Ya. Kmit, Oleg Verbitsky

Bibliographic record

VenueArs Combinatoria · 2002
Typearticle
Languageen
FieldMathematics
TopicLimits and Structures in Graph Theory
Canadian institutionsnot available
Fundersnot available
KeywordsMathematicsVan der Waerden's theoremCombinatoricsCounterexampleConjectureInteger (computer science)Monochromatic colorSequence (biology)Arithmetic progressionInfinityDiscrete mathematicsInteger sequenceNatural numberMathematical analysis
DOInot available

Abstract

fetched live from OpenAlex

Let ν(Z) be the minimal number of colors enough to color the m-dimensional integer grid Z so that there would be no infinite monochromatic symmetric subsets. Banakh and Protasov [3] compute ν(Z) = m + 1. For the one-dimensional case this just means that one can color positive integers in red, while negative in blue, thereby avoiding an infinite monochromatic symmetric subset by trivial reason. This motivates the question what changes if we allow only colorings unlimited in both directions (in “all” directions for m > 1). In this paper we show that then ν(Z) increases in 1, whereas for higher dimensions the values ν(Z) remain unaffected. Furthermore we examine the density properties of a set A ⊆ Z that ensure the existence of infinite symmetric subsets or arbitrarily large finite symmetric subsets in A. In the case that A is a sequence with small gaps, we prove a multi-dimensional analogue of the Szemeredi theorem, with symmetric subsets in place of arithmetic progressions. A similar two-dimensional statement is known for collinear subsets (Pomerance [10]), whereas for two-dimensional arithmetic progressions even the corresponding version of van der Waerden’s theorem is known to be false. We also observe that A ⊆ N contains arbitrarily large symmetric subsets whenever the series ∑ a∈A 1/a diverges (for arithmetic progressions this is the well-known unproven conjecture of Erdős). A natural two-dimensional analogue of the latter statement is false. We show a counterexample built upon Erdős’s construction of a dense infinite B2-sequence. ∗Department of Mechanics & Mathematics, Lviv University, Universytetska 1, 290602 Lviv, Ukraine. E-mail: tbanakh@franko.lviv.ua. Research supported in part by grant INTAS-96-0753. †Department of Numerical Mathematics & Programming, State University “Lvivska Polytechnika”, Bandera St. 12, 290646 Lviv, Ukraine. Part of this work was done while visiting the Institute of Mathematics, University of Vienna, supported by an OAD grant. ‡Part of this work was done while visiting the Institute of Information Systems, Vienna University of Technology, supported by a Lise Meitner Fellowship of the Austrian Science Foundation (FWF). Current e-mail: oleg@dbai.tuwien.ac.at.

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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)0.000
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 score0.126
Threshold uncertainty score0.470

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.027
GPT teacher head0.261
Teacher spread0.234 · 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

Citations1
Published2002
Admission routes1
Has abstractyes

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