Diameter Thresholds of Random Cayley Graphs
Pith reviewed 2026-06-29 06:48 UTC · model grok-4.3
The pith
Random Cayley graphs on groups of order N have diameter at most d with high probability when p is at least the d-th root of d! log N over N^{d-1}.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
In the probability space G(G,p) of Cayley graphs where each non-identity element is included in the generating set independently with probability p, for any ε>0 and any family of groups G_k with |G_k|=N_k→∞, and for 2≤d≤d_{N_k} with d_N=(1-γ)sqrt(log N / 2 log log N), a random graph has diameter ≤d whp if p ≥ [(1+ε) d! log N_k / N_k^{d-1}]^{1/d} and diameter >d whp if p ≤ [(1-ε) 2^{-d} log N_k / N_k^{d-1}]^{1/d}.
What carries the argument
The model G(G,p) of random Cayley graphs with independent edge inclusions at probability p, used to derive diameter thresholds via probabilistic analysis of reachability in d steps.
Load-bearing premise
The only property of the groups that matters is their order growing to infinity, with no further dependence on specific relations affecting the diameter in this random model.
What would settle it
Finding a specific family of groups with N large where the diameter threshold for some d falls outside the interval between the two given expressions would disprove the claim.
read the original abstract
Given a group $G$, the model $\mathcal{G}(G,p)$ denotes the probability space of all Cayley graphs of $G$ where each element of $G$ is included in the generating set independently at random with probability $p$. In this article, we investigate the threshold probabilities for the diameter of random graphs in this model. Specifically, let $d_N = (1-\gamma)\sqrt{\frac{\log{N}}{2\log{\log{N}}}}$, where $\gamma \in (0,1)$ is any fixed real number. We show that for any $\varepsilon > 0$, any family of groups $G_k$ of order $N_k$ for which $N_k \to \infty$, and any integer $2 \leqslant d\leqslant d_{N_k}$, a graph $\Gamma_k \in \mathcal{G}(G_k,p)$ with high probability has diameter at most $d$ if $p \geqslant \sqrt[d]{(1+\varepsilon) d! \frac{\log{N_k}}{N_k^{d-1}}}$, and diameter greater than $d$ if $p \leqslant \sqrt[d]{\frac{1-\varepsilon}{2^d} \frac{\log{N_k}}{N_k^{d-1}}}$. Up to a constant factor, these thresholds are similar to those for the usual Erd\H{o}s-R\'enyi random graphs. However, the precise thresholds in our model depend on the underlying family of groups. We provide specific examples of group families demonstrating that both of our bounds are best possible.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper establishes uniform thresholds for the diameter of random Cayley graphs in the model Σ(G,p), where each group element is included independently in the generating set with probability p. For any family of groups G_k with |G_k|=N_k o∞ and any 2≤d≤d_{N_k} with d_N=(1-γ)√(log N/(2 log log N)), a random graph has diameter ≤d whp whenever p ≥ [(1+ε) d! log N_k / N_k^{d-1}]^{1/d} and diameter >d whp whenever p ≤ [(1-ε) 2^{-d} log N_k / N_k^{d-1}]^{1/d}. The paper supplies explicit group families showing that the d! factor in the upper threshold and the 2^{-d} factor in the lower threshold are each asymptotically tight.
Significance. The result supplies a group-independent sandwich on the diameter threshold that holds for every sequence of groups, with the two sides differing by the factor (2^d d!)^{1/d}. The matching examples demonstrate that the constants cannot be improved uniformly. The argument for the diameter >d direction relies only on the elementary ball-size bound |B_≤d(S)| ≤ Σ_{k=0}^d |S|^k together with concentration, while the diameter ≤d direction is asserted to hold uniformly without further group hypotheses beyond |G|=N o∞. These features make the contribution substantial within the study of random Cayley graphs.
minor comments (3)
- Abstract: the range d ≤ d_{N_k} is stated with the specific form of d_N involving γ, but the manuscript does not indicate in the abstract why this particular cutoff is required for the stated bounds to hold.
- Abstract: the model Σ(G,p) is defined by including each element independently, but it is unclear from the abstract whether the generating set is required to be symmetric (S=S^{-1}) or whether the resulting graphs are directed; this should be clarified in the introduction.
- The abstract states that both bounds are best possible but does not name the specific group families used for the matching examples; a brief indication of the constructions (e.g., elementary abelian 2-groups or free groups) would improve readability.
Simulated Author's Rebuttal
We thank the referee for the positive and accurate summary of our results on diameter thresholds in random Cayley graphs, as well as the recommendation for minor revision. No specific major comments or criticisms were raised in the report.
Circularity Check
No significant circularity detected
full rationale
The paper derives explicit diameter thresholds for the random Cayley graph model G(G,p) via probabilistic arguments. The lower bound on the threshold follows from the group-independent combinatorial estimate |B_{\leq d}(S)| \le \sum_{k=0}^d |S|^k together with binomial concentration on |S|; the upper bound is asserted to hold uniformly over all group families of order N_k \to \infty by a separate probabilistic construction whose details are independent of any fitted quantities or prior self-citations. The paper explicitly notes that the precise constant inside the gap depends on the group family and supplies matching examples, confirming that the stated sandwich is not tautological. No self-definitional steps, fitted inputs renamed as predictions, or load-bearing self-citation chains appear in the derivation chain.
Axiom & Free-Parameter Ledger
Reference graph
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