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Blow-ups and homogeneous triangle deletion bounds

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Let D2(G)D_2(G) be the fewest edges whose deletion makes a finite simple graph GG bipartite. For every positive integer tt, let G[t]G[t] replace each vertex by an independent set of tt vertices and each edge by a complete bipartite graph between the corresponding sets. Then

D2(G[t])=t2D2(G).(1)D_2(G[t])=t^2D_2(G). \tag{1}

This identity transfers the large-order bounds of Balogh, Clemen and Lidický, Theorem 2 to homogeneous bounds at every order. It is useful for Problem 23, but does not close the middle-density case. The same all-order tail conclusions are stated in Corollary 4.2, p. 5, of Ferudun's unrefereed preprint. The elementary derivation below, including the sparse-density endpoint, is recorded by Plasma AI and is not independently reviewed. It uses the imported Balogh–Clemen–Lidický theorem at statement depth; its proof is not reverified here. Ferudun's numerical middle-band certificate is not a premise of this derivation. The density-tail lead records this route, and its tail and general bounds are Plasma AI's pending partial claim on Problem 23.

The exact blow-up identity

For any graph, D2(G)=e(G)−maxcut⁡(G)D_2(G)=e(G)-\operatorname{maxcut}(G): retaining all edges across a maximum cut gives a bipartite graph, and every bipartite retained graph lies across some cut of the original graph.

Given a cut of G[t]G[t], write xvx_v for the proportion of the cluster of vv on its first side. Its number of crossing edges divided by t2t^2 is

∑uv∈E(G)(xu(1−xv)+xv(1−xu)).\sum_{uv\in E(G)} \bigl(x_u(1-x_v)+x_v(1-x_u)\bigr).

This function is affine in each coordinate separately. Holding the other coordinates fixed, replacing one coordinate by either 00 or 11 can never decrease its value. Repeating for every coordinate produces a cut that places each whole cluster on one side. Consequently its maximum on [0,1]V(G)[0,1]^{V(G)} is the maximum cut of GG; those endpoint choices are also available among the discrete proportions of a cut of G[t]G[t]. Thus maxcut⁡(G[t])=t2maxcut⁡(G)\operatorname{maxcut}(G[t])=t^2\operatorname{maxcut}(G), proving (1). A triangle in G[t]G[t] would project to a triangle of GG, so a blow-up of a triangle-free graph remains triangle-free. Adding isolated vertices changes neither D2D_2 nor the edge count.

Removing the large-order qualification

The cited theorem states that for all sufficiently large NN, every triangle-free graph on NN vertices satisfies D2≤N2/23.5D_2\le N^2/23.5, and satisfies D2≤N2/25D_2\le N^2/25 if either

e≥0.3197(N2)ore≤0.2486(N2).(2)e\ge0.3197\binom N2 \quad\hbox{or}\quad e\le0.2486\binom N2. \tag{2}

Let GG be triangle-free on v≥1v\ge1 vertices. Apply the first bound to G[t]G[t] for sufficiently large tt and divide by t2t^2. It gives

D2(G)≤2v247.(3)D_2(G)\le\frac{2v^2}{47}. \tag{3}

For the dense case, assume e(G)≥3197v2/20000e(G)\ge3197v^2/20000. Then

e(G[t])≥0.3197(tv)22≥0.3197(tv2).e(G[t])\ge0.3197\frac{(tv)^2}{2} \ge0.3197\binom{tv}{2}.

Apply (2) and (1) to get D2(G)≤v2/25D_2(G)\le v^2/25.

For the sparse case, assume e(G)≤1243v2/10000e(G)\le1243v^2/10000. Use G[t]G[t] together with one isolated vertex, of order N=tv+1N=tv+1. Its edge count satisfies

t2e(G)≤0.2486(tv)22≤0.2486(tv+12).t^2e(G)\le0.2486\frac{(tv)^2}{2} \le0.2486\binom{tv+1}{2}.

By (2), t2D2(G)≤(tv+1)2/25t^2D_2(G)\le(tv+1)^2/25 for arbitrarily large tt. Dividing by t2t^2 and letting t→∞t\to\infty proves the same bound D2(G)≤v2/25D_2(G)\le v^2/25, including the boundary density. The isolated vertex is what permits using the source's (N2)\binom N2 normalization at equality.

For a graph on v=5nv=5n vertices, (3) says D2(G)≤50n2/47D_2(G)\le50n^2/47. The desired D2(G)≤n2D_2(G)\le n^2 follows in the two homogeneous density ranges just proved. The interval

124310000<e(G)v2<319720000\frac{1243}{10000}<\frac{e(G)}{v^2}<\frac{3197}{20000}

is left unresolved. Blow-ups preserve this density, so repeating the transfer cannot remove that gap. A finite census is not implied: a reduction of every middle-density obstruction to a bounded order would be an additional theorem. No such reduction is supplied.

The finite-range certificate interface

The blow-up identity and integer-rounding transfer also appear as Lemma 2.1 and Proposition 2.2, p. 3, of Ferudun's unrefereed preprint. His notation β\beta is D2D_2 here. He uses graphon edge density p=2e/v2p=2e/v^2 and monochromatic density dmono=2D2/v2d_{\rm mono}=2D_2/v^2. The asserted middle-band certificate has

dmono≤225+δ,δ≈4.8557798⋅10−5.d_{\rm mono}\le\frac2{25}+\delta, \qquad \delta\approx4.8557798\cdot10^{-5}.

On v=5nv=5n vertices this gives D2(G)≤n2+(25/2)n2δD_2(G)\le n^2+(25/2)n^2\delta. Integrality yields D2(G)≤n2D_2(G)\le n^2 when δ<2/(25n2)\delta<2/(25n^2), which the stated value satisfies through n=40n=40 and not at n=41n=41. This mechanism is Ferudun's; the elementary deduction has been checked here, but its numerical premise has not. The source card records the missing modules and state files in the supplied replay package. The finite-range claim remains pending.

For the full question this transfer needs a middle-band inequality with zero error, or a family of valid errors tending to zero uniformly over that band. A single smaller positive error extends the rounding range but still leaves arbitrarily large orders untreated. The two tail inequalities above and the exact density normalization must be retained when composing such a band bound. The source's reported finite-order optimization plateau supplies neither a counterexample to the band inequality nor a proof that other relaxations fail.