2017
DOI: 10.48550/arxiv.1708.01965
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Rigidity of the three-dimensional hierarchical Coulomb gas

Abstract: A random set of points in Euclidean space is called 'rigid' or 'hyperuniform' if the number of points falling inside any given region has significantly smaller fluctuations than the corresponding number for a set of i.i.d. random points. This phenomenon has received considerable attention in recent years, due to its appearance in random matrix theory, the theory of Coulomb gases and zeros of random analytic functions. However, most of the published results are in dimensions one and two. This paper gives the fi… Show more

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Cited by 5 publications
(26 citation statements)
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“…In the case of the "dented" sphere example, we initialize x (k) by mapping the spherical Fibonacci point set (for N = 89) onto the "dented" sphere using the projection map (x 1 , x 2 , x 3 ) → (x 1 , sign(x 2 ) (α + x 2 1 )x 2 2 , x 3 ). In the example of the Poincaré disk model we initialize the particles by first generating uniformly distributed points on the disk {(x 1 , x 2 ) : x 2 1 + x 2 2 ≤ 4/5}, and then project these points onto the upper sheet of the hyperboloid model using the appropriately defined inverse of the projection (9). During simulation time the additional constraint (10) for the compactified hyperboloid is ensured to be (approximately) satisfied by adding the additional energy term Ũ (x) = N i=1 Ũi (x i ), to the energy functional E Gaussian , where Ũi ((x i,1 , x i,2 , x i,3 )) = 0, if |x i,3 | ≤ c, κ(x i,3 − c) α , otherwise with c = 1+r 2 1−r 2 , r = 4/5, and sufficiently large α > 1, κ > 0.…”
Section: Discussionmentioning
confidence: 99%
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“…In the case of the "dented" sphere example, we initialize x (k) by mapping the spherical Fibonacci point set (for N = 89) onto the "dented" sphere using the projection map (x 1 , x 2 , x 3 ) → (x 1 , sign(x 2 ) (α + x 2 1 )x 2 2 , x 3 ). In the example of the Poincaré disk model we initialize the particles by first generating uniformly distributed points on the disk {(x 1 , x 2 ) : x 2 1 + x 2 2 ≤ 4/5}, and then project these points onto the upper sheet of the hyperboloid model using the appropriately defined inverse of the projection (9). During simulation time the additional constraint (10) for the compactified hyperboloid is ensured to be (approximately) satisfied by adding the additional energy term Ũ (x) = N i=1 Ũi (x i ), to the energy functional E Gaussian , where Ũi ((x i,1 , x i,2 , x i,3 )) = 0, if |x i,3 | ≤ c, κ(x i,3 − c) α , otherwise with c = 1+r 2 1−r 2 , r = 4/5, and sufficiently large α > 1, κ > 0.…”
Section: Discussionmentioning
confidence: 99%
“…The construction of support points in this way is illustrated in Figure 10 (A), which shows a point set of N = 150 points on the compactified upper sheet of the hyperboloid constructed as a minimum energy configuration of the energy functional E Gaussian . The image of this point set under the projection (9), is shown in Figure 10 (B). As explained above this point set corresponds by construction to a minimum energy configuration of the energy functional E Gaussian on the compactified Poincaré disk model.…”
Section: Gaussianmentioning
confidence: 99%
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“…The ones we are aware of are small i.i.d. Gaussian perturbations of a lattice [31], stationary point processes satisfying DLR (Dobrushin-Landford-Ruelle) equations with appropriate interacting potentials [7] and the hierarchical Coulomb gas in d = 3 [5]. We wish to also point out that first rigidity and hyperuniformity reveal something intrinsically interesting about the point process, and second these properties are also useful to understand percolation models on point processes (see page 5 of [13]).…”
Section: Introductionmentioning
confidence: 99%
“…random points. In a recent beautiful work [18], Chatterjee gave the first proof of such a result in dimension three for a Coulomb type system, known as the hierarchical Coulomb gas, inspired by Dyson's hierarchical model of the Ising ferromagnet [22,23]. However the case of dimensions greater than three had remained open.…”
mentioning
confidence: 99%