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arxiv: 1408.2283 · v1 · pith:LIDCLBY6new · submitted 2014-08-10 · 🧮 math-ph · math.MP

A Uniqueness Result for Minimizers of the 1D Log-gas Renormalized Energy

classification 🧮 math-ph math.MP
keywords energyrenormalizedlog-gasmathbbminimizerone-dimensionalpointresult
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Sandier and Serfaty studied the one-dimensional Log-gas model, in particular they gave a crystallization result by showing that the one-dimensional lattice $\mathbb{z}$ is a minimizer for the so-called renormalized energy which they obtained as a limit of the $N$-particle Log-gas Hamiltonian for $N \to \infty$. However, this minimizer is not unique among infinite point configurations (for example small perturbations of $\mathbb{z}$ leave the renormalized energy unchanged). In this paper, we establish that uniqueness holds at the level of (stationary) point processes, the only minimizer being given by averaging $\mathbb{z}$ over a choice of the origin in $[0,1]$. This is proved by showing a quantitative estimate on the two-point correlation function of a process in terms of its renormalized energy.

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