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Achlioptas iliopoulos sinclair 2020 point set correlations

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theorem_2_4: Achlioptas, Iliopoulos and Sinclair's main result: if positive weights psi_i make every weighted sum of the point-to-set charges gamma_i^S less than psi_i, then a local search following any fixed flaw permutation reaches a flawless state within (T_0+s)/delta steps except with probability 2^{-s}.

theorem_2_5: Achlioptas, Iliopoulos and Sinclair's extension of Molloy's theorem: a graph of maximum degree Delta whose neighborhoods each span at most Delta^2/f edges has list chromatic number at most (1+eps) Delta / ln sqrt(f) for Delta large and f in the stated range, with a polynomial-time randomized algorithm.

theorem_2_6: Achlioptas, Iliopoulos and Sinclair's sharpening of Alon, Krivelevich and Sudakov: a graph of maximum degree Delta whose neighborhoods each span at most Delta^2/f edges has chromatic number at most (2+eps) Delta / ln sqrt(f) for Delta >= Delta_eps and f in [f_eps, Delta^2+1], with a polynomial-time randomized algorithm.


Dimitris Achlioptas, Fotis Iliopoulos, and Alistair Sinclair, “Beyond the Lovász Local Lemma: Point to Set Correlations and Their Algorithmic Applications,” arXiv:1805.02026v4 (2020). The copy read for this card is the arXiv revision dated 19 August 2020. A preliminary version appeared in the FOCS 2019 proceedings, pp. 725–744, DOI 10.1109/FOCS.2019.00049; the arXiv text is not asserted to be the proceedings text. The arXiv record names arXiv's non-exclusive distribution license (arXiv:1805.02026), every other right reserved.

The framework has a finite state space Ω\Omega, flaws F={f1,…,fm}\mathcal F=\{f_1,\ldots,f_m\}, and flawed region ⋃ifi=Ω∗⊆Ω\bigcup_i f_i=\Omega^*\subseteq\Omega. A flawless state lies in Ω∖Ω∗\Omega\setminus\Omega^*. With a positive measure μ:Ω→R>0\mu:\Omega\to\mathbb R_{>0}, the paper defines In⁡iS(τ)\operatorname{In}_i^S(\tau) as the predecessor states in fif_i whose transition introduces flaws covering SS, and

γiS=max⁡τ∈Ω1μ(τ)∑σ∈In⁡iS(τ)μ(σ)ρi(σ,τ).\gamma_i^S=\max_{\tau\in\Omega}\frac{1}{\mu(\tau)} \sum_{\sigma\in\operatorname{In}_i^S(\tau)} \mu(\sigma)\rho_i(\sigma,\tau).

Theorem 2.4 (rendered PDF p. 7, printed p. 6) states that if positive ψi\psi_i satisfy, for every ii,

ζi=1ψi∑S⊆[m]γiS∏j∈Sψj<1,\zeta_i=\frac1{\psi_i}\sum_{S\subseteq[m]}\gamma_i^S \prod_{j\in S}\psi_j<1,

then every permutation strategy has probability 2−s2^{-s} of failing to reach a flawless state within (T0+s)/δ(T_0+s)/\delta steps, where

δ=1−max⁡iζi,T0=log⁡2μmin⁡−1+mlog⁡2(1+ψmax⁡ψmin⁡).\delta=1-\max_i\zeta_i, \qquad T_0=\log_2\mu_{\min}^{-1} +m\log_2\left(\frac{1+\psi_{\max}}{\psi_{\min}}\right).

Here μmin⁡=min⁡σμ(σ)\mu_{\min}=\min_\sigma\mu(\sigma), ψmax⁡=max⁡iψi\psi_{\max}=\max_i\psi_i, and ψmin⁡=min⁡iψi\psi_{\min}=\min_i\psi_i.

Theorem 1.1, labeled an informal statement (rendered PDF p. 3, printed p. 2), concerns a graph GG of maximum degree Δ\Delta in which the neighbors of every vertex span at most T≥0T\geq0 edges among themselves. It says that for every ε>0\varepsilon>0, there is Δε\Delta_\varepsilon such that if Δ≥Δε\Delta\geq\Delta_\varepsilon and T≲Δ2εT\lesssim\Delta^{2\varepsilon}, then

χ(G)≤(1+ε)Δln⁡Δ−12ln⁡(T+1).\chi(G)\leq \frac{(1+\varepsilon)\Delta} {\ln\Delta-\tfrac12\ln(T+1)}.

The symbol ≲\lesssim hides logarithmic factors. The statement also gives an efficient coloring algorithm; for arbitrary T≥0T\geq0, the same form holds with leading constant 2+ε2+\varepsilon in place of 1+ε1+\varepsilon.

This is an algorithmic local-lemma method source, with no direct numbered Erdős-problem connection.

Read status: claims checked for Definitions 2.1 to 2.3, Theorem 2.4, Remarks 2.3 and 2.4, Theorems 1.1, 2.5 and 2.6 and Proposition 2.1, read clause by clause on the page images of the print; the proofs were followed for structure only. Nothing here is independently reviewed.

Results.

  • Theorem 2.4 (p. 6): the point-to-set convergence condition for π\pi-strategies, with Definitions 2.1 to 2.3 and the refined T0T_0 of Remark 2.4.
  • Theorem 2.5 (p. 7): χℓ(G)≤(1+ϵ)Δ/ln⁡f\chi_\ell(G)\leq(1+\epsilon)\Delta/\ln\sqrt f when every neighborhood spans at most Δ2/f\Delta^2/f edges, Δ≥Δϵ\Delta\geq\Delta_\epsilon and f∈[Δ2+2ϵ1+2ϵ(ln⁡Δ)2,Δ2+1]f\in[\Delta^{\frac{2+2\epsilon}{1+2\epsilon}}(\ln\Delta)^2,\Delta^2+1].
  • Theorem 2.6 (p. 8): χ(G)≤(2+ϵ)Δ/ln⁡f\chi(G)\leq(2+\epsilon)\Delta/\ln\sqrt f for Δ≥Δϵ\Delta\geq\Delta_\epsilon and f∈[fϵ,Δ2+1]f\in[f_\epsilon,\Delta^2+1] under the same neighborhood condition, with the informal Theorem 1.1 (p. 2).

Bears on. No Erdős problem: the paper names none, and none of its results is recorded here as bearing on one.

No file of this source is held: no license on record permits its redistribution, and the card cites the edition it names above.