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Record W2242522931

Variations on a Theorem of Erdös, Ko and Rado

2014· dissertation· en· W2242522931 on OpenAlexfundno aff
Alison May Purdy

Bibliographic record

VenueoURspace (University of Regina) · 2014
Typedissertation
Languageen
FieldMathematics
TopicMathematics and Applications
Canadian institutionsnot available
FundersDivision of Mathematical SciencesNatural Sciences and Engineering Research Council of CanadaFaculty of Graduate Studies and Research, University of ReginaUniversity of Regina
KeywordsMathematicsCombinatoricsGeography
DOInot available

Abstract

fetched live from OpenAlex

The Erdös-Ko-Rado theorem, a theorem which gives the size and structure of the largest pairwise intersecting collection of k-subsets from a base set of size n, has inspired many variations on the theme of the maximum size and structure of intersecting families. Some results for intersecting set systems add additional conditions or vary the intersection requirement. For instance, Hajnal and Rothschild allow up to s mutually disjoint sets. Hilton and Milner consider the largest families that do not have an element common to all of the k-subsets. Another variation is to consider objects other than subsets. For each object, a suitable de nition of intersection is required. In some instances, theorems with di erent de nitions of intersection have appeared for the same objects. In this thesis, we deal with two such objects: multisets and permutations. We de ne a k-multiset as a collection of k integers (not necessarily distinct) from a nite base set of cardinality m and say that two k-multisets are intersecting if they have an element in common. Our results include a theorem giving the size and structure of the largest intersecting families of multisets for all values of m and k. The proof of our theorem uses a graph theoretic approach. This approach is applied to give additional results including the largest family in which there is no common element in all of the multisets and the largest family in which up to s multisets are allowed to be pairwise not intersecting. For permutations, we consider two di erent de nitions of intersection that have been used in intersection theorems: t-intersection and t-cycle-intersection. We show that a previous result giving an exact lower bound on n relative to t above which the largest xed t-intersecting family of permutations is the pointwise stabilizer of t points can be used to give a similar result for all t-cycle-intersecting families. For t-cycleintersecting permutations, we prove several results that may be useful in proving the structure of the t-cycle-intersecting families which attain the maximum size for all values of n and t. For t-intersecting families, we give the size of the largest family with up to s permutations that are not pairwise intersecting and prove a number of results concerning unions of t-intersecting families where the cardinality of the union is as large as possible.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.674
Threshold uncertainty score0.675

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.017
GPT teacher head0.248
Teacher spread0.231 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2014
Admission routes1
Has abstractyes

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