Excluding an induced star in dense random graphs
Pith reviewed 2026-06-26 09:52 UTC · model grok-4.3
The pith
Dense graphs without an induced star K_{1,k} have explicit entropy densities and large-deviation rates solved by graphon optimization, with phase transitions at critical densities.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
The entropy density of induced-K_{1,k}-free graphs with Θ(n²) edges is given by an explicit formula exhibiting a second-order phase transition at γ_k, while the large-deviation rate function for G(n,p) being induced-K_{1,k}-free exhibits a first-order phase transition at p_k; the optimizers of both variational problems are completely characterized, with infinitely many optimal graphons possible yet a unique one in the cut metric, and the typical structures are the complement of a (k-1)-partite graph (supercritical) or that complement plus a sparse remainder (subcritical fixed-density case).
What carries the argument
The graphon variational problem maximizing entropy (or minimizing rate) subject to the induced-K_{1,k}-free constraint, solved at fixed edge density γ and for conditioned G(n,p).
If this is right
- For parameters above the critical values the typical structure is exactly the complement of a (k-1)-partite graph with high probability.
- Below the critical density in the fixed-edge model the typical graph is the complement of a (k-1)-partite graph plus an o(n²)-edge remainder.
- In the subcritical conditioned random-graph model a typical sample has only o(n²) edges.
- There exist parameter regimes with infinitely many optimal graphons, yet the cut-metric limit of the typical structure remains unique.
Where Pith is reading between the lines
- The same variational approach could be applied to other forbidden induced bipartite graphs to obtain analogous entropy formulas.
- The explicit location of γ_k supplies a concrete threshold that could be tested in algorithmic sampling of induced-star-free graphs.
- The distinction between second-order and first-order transitions may indicate different stability behaviors under small perturbations of the edge density or p.
Load-bearing premise
The graphon variational problems for induced-K_{1,k}-free graphs admit explicit closed-form solutions together with a complete characterization of their optimizers, including the locations of the critical densities γ_k and p_k.
What would settle it
Direct numerical enumeration or Monte-Carlo sampling of the number of induced-K_{1,k}-free graphs on moderate n at several densities straddling the predicted γ_k, compared against the explicit entropy formula.
Figures
read the original abstract
For fixed $k\geq3$, we study the asymptotic number and typical structure of dense graphs with no induced copy of the star $K_{1,k}$. We solve the associated graphon variational problems both at fixed constant edge density $\gamma$ and for the conditioned Erd\H{o}s--R\'enyi random graph $G(n,p)$ for constant $p$. As consequences, we obtain explicit formulas for the entropy density of induced-$K_{1,k}$-free graphs with $\Theta(n^2)$ edges and for the large deviation rate function for the event that $G(n,p)$ is induced-$K_{1,k}$-free. The entropy density exhibits a second-order phase transition at an explicit critical density $\gamma_k$, while the rate function exhibits a first-order phase transition at a critical parameter $p_k$. We completely characterize the optimizers of both variational problems. Both models have parameter values for which there are infinitely many optimal graphons, but there is always a unique graphon that represents the typical structure in cut metric. We refine the graphon-level results by giving a detailed structural description of both models. For supercritical parameters, each random graph model is the complement of a $(k-1)$-partite graph with high probability. In the subcritical regime of the fixed-density model, the typical structure is the disjoint union of the complement of a $(k-1)$-partite graph, and a sparse remainder. In the subcritical regime of the conditioned Erd\H{o}s--R\'enyi random graph, a typical sample has $o(n^2)$ edges.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper studies the asymptotic number and typical structure of dense graphs without an induced copy of the star K_{1,k} for fixed k≥3. It solves the associated graphon variational problems both at fixed constant edge density γ and for the conditioned Erdős–Rényi random graph G(n,p) for constant p. As consequences, explicit formulas are obtained for the entropy density of induced-K_{1,k}-free graphs with Θ(n²) edges and for the large deviation rate function for the event that G(n,p) is induced-K_{1,k}-free. The entropy density exhibits a second-order phase transition at an explicit critical density γ_k, while the rate function exhibits a first-order phase transition at a critical parameter p_k. The optimizers of both variational problems are completely characterized; both models have parameter values with infinitely many optimal graphons, but there is always a unique graphon representing the typical structure in the cut metric. Structural descriptions are refined: supercritical samples are complements of (k-1)-partite graphs w.h.p.; subcritical fixed-density samples are the disjoint union of such a complement and a sparse remainder; subcritical conditioned G(n,p) samples have o(n²) edges.
Significance. If the results hold, the manuscript delivers explicit closed-form solutions to the graphon variational problems for induced-K_{1,k}-free graphs together with complete optimizer characterization and explicit critical densities γ_k, p_k. This constitutes a substantial advance in the theory of induced-forbidden subgraphs for dense graphs and random-graph large deviations, including the handling of non-unique optimizers while identifying a unique typical structure in the cut metric and providing regime-specific structural descriptions.
minor comments (3)
- §1 (Introduction): the definitions of the entropy density and the large-deviation rate function should be stated explicitly before the variational problems are introduced, to make the transition from the abstract claims to the technical development self-contained.
- The notation for the critical values γ_k and p_k is introduced in the abstract and §2; a single consolidated statement collecting their explicit formulas (with the dependence on k) would improve readability.
- Figure captions (throughout): several figures depicting optimal graphons would benefit from an explicit statement of the cut-metric distance to the claimed unique typical structure, to illustrate the uniqueness claim numerically.
Simulated Author's Rebuttal
We thank the referee for their positive summary of the manuscript, recognition of its contributions to graphon variational problems for induced-K_{1,k}-free graphs, and recommendation of minor revision. No major comments appear in the report.
Circularity Check
No significant circularity; derivation self-contained
full rationale
The abstract states that the graphon variational problems are solved to yield explicit formulas for entropy density and large-deviation rate functions, with complete characterization of optimizers and explicit critical densities γ_k, p_k. No derivation steps, equations, or self-citations are exhibited in the provided material that reduce any claimed prediction or result to a fitted input, self-definition, or prior author work by construction. The central claims rest on solving the variational problems rather than renaming or fitting quantities already present in the inputs. This is the normal case of a self-contained mathematical derivation with no load-bearing circularity.
Axiom & Free-Parameter Ledger
axioms (1)
- standard math Existence and well-posedness of graphon variational problems for induced-hereditary properties
Reference graph
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defect graphs
Y. Zhao. On the lower tail variational problem for random graphs. Combinatorics, Probability and Computing 26.2 (2017), pp. 301–320. Appendix A. Deferred Results Lemma A.1. For all δ > 0 and integers ℓ, L, t ⩾ 1 there exists ϵ∗ = ϵ∗(δ, ℓ) > 0 such that for all η ∈ (0, ϵ∗) there exist integers U = U(δ, ℓ, L, t, η) and n0 = n0(δ, ℓ, L, t, η) with the follow...
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Let Fγ(R, B) := R · H γ(n 2)−B R
there exists δ > 0 such that the following holds for all large enough n. Let Fγ(R, B) := R · H γ(n 2)−B R . If α ⩽ γ n 2 − B R ⩽ 1 − α , R ⩾ αn2 , D r ⩾ αn2 , and |Db| ⩽ n , then Fγ(R + Dr, B + Db) ⩾ Fγ(R, B) + δn2 . Proof. Since ∂ ∂B Fγ(R, B) = −H ′ γ(n 2)−B R , there is a constant L = L(α) > 0 such that |Fγ(R, B + Db) − Fγ(R, B)| ⩽ L|Db| ⩽ Ln . Now let ...
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[47]
Now let p := m−eb(J ∗) er(J ∗)
such that q ∈ [α, 1 − α] for all large enough n. Now let p := m−eb(J ∗) er(J ∗) . Since m = γ n 2 + o(n2), we have |p − q| = o(1), and therefore p ∈ [0, 1] for all large enough n. Consider the family P(J ∗, m) of (simple, uncolored) graphs G on n vertices and m edges obtained as follows: include every blue edge of J ∗, exclude every green edge of J ∗, and...
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[48]
Apply Lemma A.1 with parameters τ, ℓ := 4, L := ⌈1/τ ⌉, t := 1, and the trivial initial partition {V (G)}, and let η > 0, u ∈ N, and n1 be the resulting constants
so that 4 τ < ϵ/ 2 and C · H(τ) + 3τ ⩽ δ0/4. Apply Lemma A.1 with parameters τ, ℓ := 4, L := ⌈1/τ ⌉, t := 1, and the trivial initial partition {V (G)}, and let η > 0, u ∈ N, and n1 be the resulting constants. By reducing η if necessary, we may assume η ⩽ min{τ, η0/10}. Hence every graph on at least n1 vertices has an ( η, τ, 4)-type (P, R) with ⌈1/τ ⌉ ⩽ v...
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[49]
The following lemma quantifies how the number of graphs in FΠ,T is constrained if the defect graph T contains a matching of a given size
such that for all large enough n, if Π = (A, B) ∈ P, |t| ⩽ ϵn2 + n, and 0 ⩽ z ⩽ n then (112) β ⩽ m − |B| 2 − t |A| · |B| − z ⩽ 1 − β , and the same bound also holds if one subtracts z from the numerator (by decreasing β). The following lemma quantifies how the number of graphs in FΠ,T is constrained if the defect graph T contains a matching of a given siz...
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