Finding blowups one vertex at a time
Pith reviewed 2026-05-25 04:16 UTC · model grok-4.3
The pith
A new iterative proof of Nikiforov's theorem improves the constant in the guaranteed size of H-blowups.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
If an N-vertex graph contains at least γ N^h copies of a fixed h-vertex graph H, then it contains an H-blowup of order c_H(γ) log N, where the new proof establishes a larger value of the constant c_H(γ) than was previously known.
What carries the argument
The iterative process of selecting successive vertices for the blowup while maintaining a positive density of potential copies.
Load-bearing premise
That the iterative selection of each next vertex can continue until the full logarithmic number of vertices is reached without the potential falling to zero.
What would settle it
A counterexample graph with γ N^h copies of H but whose largest H-blowup has order smaller than the improved c_H(γ) log N.
read the original abstract
An influential theorem of Nikiforov states that if an $N$-vertex graph $G$ contains at least $\gamma N^h$ copies of some fixed $h$-vertex graph $H$, then $G$ contains an $H$-blowup of order $c_H(\gamma)\log N$. We provide a new proof of this theorem, which in particular improves the best known bound on the constant $c_H(\gamma)$. In contrast to previous proofs, our proof is iterative, finding the blowup one vertex at a time.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript gives a new iterative proof of Nikiforov's theorem: any N-vertex graph containing at least γ N^h copies of a fixed h-vertex graph H contains an H-blowup on c_H(γ) log N vertices. The proof constructs the blowup vertex by vertex and obtains a strictly larger value of c_H(γ) than previous arguments.
Significance. If the quantitative improvement holds, the result strengthens the best-known bound in a central theorem of extremal graph theory. The iterative method supplies an explicit construction that may be useful for related embedding problems; the paper also ships a fully explicit (though still exponential) expression for the improved constant.
major comments (2)
- [§3, Lemma 3.2] §3, Lemma 3.2: the potential function Φ_t used to control the number of H-copies after t vertices have been chosen is defined with a multiplicative loss factor of (1-ε) per step; the paper must verify that the cumulative loss after Ω(log N) steps still leaves a positive-density copy count, otherwise the claimed improvement in c_H(γ) does not follow from the inductive step.
- [§4, Eq. (4.5)] §4, Eq. (4.5): the final lower bound on c_H(γ) is obtained by solving a recurrence whose base case depends on the initial copy density γ; a concrete numerical comparison with the previous best constant (e.g., from the proof in [reference]) is needed to confirm the improvement is strict rather than merely existential.
minor comments (2)
- [§3] The notation for the successive vertex sets V_1, …, V_t is introduced without an explicit inductive hypothesis statement; adding a displayed inductive claim at the beginning of §3 would improve readability.
- [Figure 1] Figure 1 caption refers to 'the blowup order' but the axis label is unlabeled; clarify that the vertical axis shows the guaranteed order as a function of log N.
Simulated Author's Rebuttal
We thank the referee for the positive recommendation and the careful comments. We respond to each major comment below.
read point-by-point responses
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Referee: [§3, Lemma 3.2] §3, Lemma 3.2: the potential function Φ_t used to control the number of H-copies after t vertices have been chosen is defined with a multiplicative loss factor of (1-ε) per step; the paper must verify that the cumulative loss after Ω(log N) steps still leaves a positive-density copy count, otherwise the claimed improvement in c_H(γ) does not follow from the inductive step.
Authors: The parameter ε is chosen as a function of the target iteration count t=Θ(log N) and the initial density γ (specifically ε=Θ(γ/log N)); the product ∏(1-ε) is then bounded below by a positive constant e^{-O(1)} independent of N. This calculation appears after the statement of Lemma 3.2 and ensures the final copy density remains Ω(γ). We will add a short explicit remark making the dependence of ε on log N and the resulting lower bound on the product fully transparent. revision: partial
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Referee: [§4, Eq. (4.5)] §4, Eq. (4.5): the final lower bound on c_H(γ) is obtained by solving a recurrence whose base case depends on the initial copy density γ; a concrete numerical comparison with the previous best constant (e.g., from the proof in [reference]) is needed to confirm the improvement is strict rather than merely existential.
Authors: The closed-form solution of the recurrence in (4.5) is strictly larger than the constant obtained from earlier proofs for every fixed γ>0. To make the strict improvement concrete, the revised manuscript will include a short table comparing the new and previous numerical values of c_H(γ) for representative small γ and for H=K_3. revision: yes
Circularity Check
No circularity: direct new proof of external Nikiforov theorem via iterative vertex selection
full rationale
The paper supplies an independent iterative proof of an externally stated theorem (Nikiforov) whose conclusion is not obtained by fitting parameters inside the paper or by reducing to a self-citation chain. The claimed improvement on c_H(γ) is asserted to follow from the quantitative control in the new construction; no equation or step is shown to be definitionally equivalent to its own inputs. The derivation is therefore self-contained against the external benchmark.
Axiom & Free-Parameter Ledger
axioms (1)
- standard math Standard definitions and counting arguments in extremal graph theory (e.g., double counting of copies of H).
Reference graph
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