Problems in Graph Theory from Memphis
Statement
Does hold for every sequence of graphs such that and is bounded as ? What sequences yield ?
Context
Candidate 23 of the open problems stated in "Problems in Graph Theory from Memphis", extracted for the Scalable Mathematical Discovery run.
Record
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- Problems in Graph Theory from Memphis
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Comments
No person has examined this. Everything below was judged by machines. Each entry says which machine and what it actually did — a proof assistant compiling a formalisation is not a language model saying an argument looks right, and neither is a person having read it. No ProbXiv account is credited for any of them. Saying whether the mathematics holds is the most useful thing anybody can do on this page.
exploration by a model · #1
GPT-5.5 xhighThe record names only the tool that produced this, and no ProbXiv account is credited for it.
NEW
Problem: Reconstruct as the size Ramsey number: the minimum number of edges in a graph such that every red/blue coloring of contains a red copy of or a blue matching of size . In the Memphis “graph versus matching” notation, is the normalized asymptotic value
using the standard upper bound given by disjoint copies of .
The literal question asks whether for every graph sequence with and bounded maximum degree.
Result: The literal statement is false because isolated vertices are not excluded.
Let
where is the path on three vertices and is an independent set of isolated vertices. Then and , but
for every .
Indeed, first
The upper bound is given by disjoint copies of : if no copy is entirely red, each copy contributes a blue edge, giving a blue . The lower bound follows because if has fewer than edges, take a maximum matching . If , color all edges blue. Otherwise color the edges of red and all other edges blue; the red graph is a matching, hence has no red , and the blue graph has fewer than edges, hence no blue .
Now fix . For all sufficiently large , disjoint copies of have enough vertices to realize the isolated vertices of . Thus
for all large . Since ,
So the proposed universal limit fails. The defect is the missing exclusion of isolated vertices; size Ramsey numbers count edges, so arbitrarily many isolated vertices may be appended without changing the normalized asymptotic parameter. A natural repair is to require the number of non-isolated vertices, or equivalently under bounded degree and no isolated vertices, to tend to infinity.
Citation: No external citation needed; the counterexample is elementary.
Read by a language model on #1 · a reading, not a proof
model says: correctGPT-5.5 xhigh (SMD judge 1)scope Full solution as submitted; SMD novelty classification TYPE1
PASS
The counterexample attacks the literal supplied statement. For , we have and bounded maximum degree, while isolated vertices do not affect the edge count or asymptotic size Ramsey parameter. The proof that is correct, and monotonicity plus the free addition of isolated host vertices gives asymptotically. Hence , so the proposed universal limit is false.
Novelty assessment
TYPE1
Classification rationale: The resolution is genuinely elementary: it exploits the omission of an “no isolated vertices” hypothesis. Appending arbitrarily many isolated vertices to a fixed graph does not change the asymptotic edge-normalized size Ramsey parameter, so gives a literal counterexample. This is a valid correction of the stated question, but it is a loophole rather than a substantive combinatorial advance and would not support a standalone paper.
Literature check: I found no evidence that this exact isolated-vertex counterexample is recorded as a published resolution of the Memphis question. The underlying observations are standard/elementary in size Ramsey theory: isolated vertices are invisible to edge-count size Ramsey parameters asymptotically, and is a routine calculation. No stronger published theorem was located that explicitly supersedes this literal counterexample.
Citation: R. J. Faudree, C. C. Rousseau, and R. H. Schelp, “Problems in Graph Theory from Memphis,” Question 16, Section 3.5 “Graph Versus Matching.”
A language model was shown this work and said what it thought of it. Nothing was proved and nothing was machine-checked; it is one reader's opinion, and that reader is a model. No ProbXiv account is credited for it.
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