Math 2.0

Proof

Proof of Counting lemma

Proof

It suffices to prove

∣t(F,W)−t(F,U)∣≤∣E(F)∣∥W−U∥□.|t(F,W)-t(F,U)|\le|E(F)|\|W-U\|_{\square}.

Indeed, by considering the above, with the right hand side expression having a factor ∥W−Uϕ∥□\|W-U^{\phi}\|_{\Box} instead of ∥W−U∥□\|W-U\|_{\Box}, and taking the infimum of the over all measure-preserving bijections ϕ\phi, we obtain the desired result.

Step 1: Reformulation. We prove a reformulation of the cut norm, which is by definition the left hand side of the following equality. The supremum in the right hand side is taken among measurable functions uu and vv:

sup⁡S,T⊆[0,1]∣∫S×TW∣=sup⁡u,v:[0,1]→[0,1]∣∫[0,1]2W(x,y)u(x)v(y)dxdy∣.\sup_{S,T\subseteq [0,1]}\left|\int_{S\times T}W\right|=\sup_{u,v:[0,1]\rightarrow [0,1]}\left| \int_{[0,1]^2}W(x,y)u(x)v(y)dxdy\right|.

Here's the reason for the above to hold: By taking u=𝟙Su=\mathbb{1}_S and u=𝟙Tu=\mathbb{1}_T, we note that the left hand side is less than or equal than the right hand side. The right hand side is less than or equal than the left hand side by bilinearity of the integrand in u,vu,v, and by the fact that the extrema are attained for u,vu,v taking values at 00 or 11.

Step 2: Proof for F=K3F=K_3. In the case that F=K3F=K_3, we observe that

t(K3,W)−t(K3,U)=∫[0,1]3((W(x,y)W(x,z)W(y,z)−U(x,y)U(x,z)U(y,z))dxdydz=∫[0,1]3(W−U)(x,y)W(x,z)W(y,z)dxdydz+∫[0,1]3U(x,y)(W−U)(x,z)W(y,z)dxdydz+∫[0,1]3U(x,y)U(x,z)(W−U)(y,z)dxdydz.\begin{aligned} t(K_3,W)-t(K_3,U)&=\int_{[0,1]^{3}}((W(x,y)W(x,z)W(y,z)-U(x,y)U(x,z)U(y,z))dxdydz\\&=\int_{[0,1]^{3}}(W-U)(x,y)W(x,z)W(y,z)dxdydz\\&\qquad+\int_{[0,1]^{3}} U(x,y)(W-U)(x,z)W(y,z)dxdydz\\&\qquad+\int_{[0,1]^{3}} U(x,y)U(x,z)(W-U)(y,z)dxdydz. \end{aligned}

By Step 1, we have that for a fixed zz that

∣∫[0,1]2(W−U)(x,y)W(x,z)W(y,z)dxdy∣≤∥W−U∥□\left|\int_{[0,1]^{2}}(W-U)(x,y)W(x,z)W(y,z)dxdy\right|\le \|W-U\|_{\square}

Therefore, when integrating over all z∈[0,1]z\in[0,1] we get that

∣∫[0,1]3(W−U)(x,y)W(x,z)W(y,z)dxdydz∣≤∥W−U∥□\left|\int_{[0,1]^{3}}(W-U)(x,y)W(x,z)W(y,z)dxdydz\right|\le \|W-U\|_{\square}

Using this bound on each of the three summands, we get that the whole sum is bounded by 3∥W−U∥□3\|W-U\|_{\square}.

Step 3: General case. For a general graph FF, we need the following lemma to make everything more convenient:

===== Lemma. ===== The following expression holds:

a1a2⋯an−b1b2⋯bn=(a1−b1)a2⋯an+b1(a2−b2)⋯an+⋯b1b2⋯(an−bn).a_1a_2\cdots a_n-b_1b_2\cdots b_n=(a_1-b_1)a_2\cdots a_n+b_1(a_2-b_2)\cdots a_n+\cdots b_1b_2\cdots (a_n-b_n).

The above lemma follows from a straightforward expansion of the right hand side. Then, by the triangle inequality of norm, we have the following

∣t(F,W)−t(F,U)∣=∣∫(∏uivi∈E(F)W(ui,vi)−∏uivi∈E(F)U(ui,vi))∏v∈Vdv∣≤∑i=1∣E(F)∣∣∫( ∏j=1i−1U(uj,vj)(W(ui,vi)−U(ui,vi))∏k=i+1∣E(F)∣W(uk,vk))∏v∈Vdv∣.\begin{aligned} \left| t(F,W)-t(F,U)\right| &=\left| \int\left(\prod_{u_iv_i\in E(F)}W(u_i,v_i)-\prod_{u_iv_i\in E(F)}U(u_i,v_i)\right)\prod_{v\in V}dv\right|\\&\le\sum_{i=1}^{|E(F)|}\left| \int \left(\ \prod_{j=1}^{i-1}U(u_j,v_j)(W(u_i,v_i)-U(u_i,v_i))\prod_{k=i+1}^{|E(F)|}W(u_k,v_k)\right)\prod_{v\in V}dv\right|.\end{aligned}

Here, each absolute value term in the sum is bounded by the cut norm ∥W−U∥□\|W-U\|_{\square} if we fix all the variables except for uiu_i and viv_i for each ii-th term, altogether implying that ∣t(F,W)−t(F,U)∣≤∣E(F)∣ δ□(W,U)|t(F,W)-t(F,U)|\le |E(F)|\ \delta_{\square}(W,U). This finishes the proof.

Where this leads

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Further reading

  1. Wikipedia, page 62471938, revision 1315423087, Counting lemma, section Graphon version of counting lemma > Definition (cut distance). > Proof of the graphon counting lemma:. adopted
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