2019
DOI: 10.4310/atmp.2019.v23.n4.a1
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The two-dimensional Coulomb plasma: quasi-free approximation and central limit theorem

Abstract: For the two-dimensional one-component Coulomb plasma, we derive an asymptotic expansion of the free energy up to order N , the number of particles of the gas, with an effective error bound N 1−κ for some constant κ > 0. This expansion is based on approximating the Coulomb gas by a quasi-free Yukawa gas. Further, we prove that the fluctuations of the linear statistics are given by a Gaussian free field at any positive temperature. Our proof of this central limit theorem uses a loop equation for the Coulomb gas,… Show more

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Cited by 52 publications
(64 citation statements)
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References 61 publications
(164 reference statements)
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“…For example, it is possible to prove a central limit theorem (see [40] for α = 1, and e.g. [41,42] for general α) for linear statistic associated to smooth test functions. In this case the gaussian fluctuations are of order one.…”
Section: Discussionmentioning
confidence: 99%
“…For example, it is possible to prove a central limit theorem (see [40] for α = 1, and e.g. [41,42] for general α) for linear statistic associated to smooth test functions. In this case the gaussian fluctuations are of order one.…”
Section: Discussionmentioning
confidence: 99%
“…is imposed in order to extremise the free energy. Equation (11) has the limiting density ρ c (ζ ) = lim N→∞ 1 N R N,1 (ζ ) as its solution. Applying the Laplace operator ∆ = ∂∂ to (11) and using that its Green's function is the logarithm, we obtain that the crossover density ρ c satisfies (12) below.…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…For Gaussian potential Q(z) = |z| 2 for example, this gives the circular law, with a constant density on the unit disc. Note that (16) also can be obtained from (15) by requiring a saddle point condition as in (11). We emphasize that the standard choice of scaling (9) makes the droplet and density ρ independent of the inverse temperature β .…”
Section: Theoremmentioning
confidence: 99%
“…random variables where the variance grows like n. Furthermore in many cases, one can also show a central limit theorem proving that X(f ) − E(X(f )) converges to a Gaussian distribution. See for e.g., [4,3,10,11,12,20,38,39,42]. However in dimensions bigger than two, there is a change in behavior of X(f ) and the variance grows polynomially in the system size.…”
Section: 2mentioning
confidence: 99%
“…Rigidity for Coulomb type systems. Hyperuniformity of the two-dimensional Coulomb gas has recently been established in [4,3,42]. But as far as we know, before Chatterjee's results, no such results establishing rigidity for systems in dimensions three and higher were available, although very precise information about the partition function in such contexts had recently been obtained in [52,41].…”
Section: Introductionmentioning
confidence: 99%