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On the Wasserstein distance between a hyperuniform point process and its mean

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arxiv 2404.09549 v3 pith:6UFIBUK6 submitted 2024-04-15 math.PR

classification math.PR
keywords wassersteindistancemeanpointprocessaboveassumptionaverage
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abstract

We study the existence of bounds on the expected $p$-Wasserstein distance between a random measure and its mean under the assumption that the $p$-th centered moments of the counting statistics are controlled uniformly in space. The average Wasserstein transport cost is shown to be bounded from above and from below by some multiples of the number of points. $D$-dimensional versions of those results are also obtained. As a corollary, we prove that for any value of $p\geq 1$ the Ginibre point process can be seen as a perturbed lattice with identically distributed perturbations with a finite $p$-th moment.

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Cited by 3 Pith papers

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  1. Gap metrics for stationary point processes and quantitative convexity of the free energy

    math.PR 2025-09 reject novelty 7.0 of 10

    The free energy of stationary point processes on R is shown to be strictly convex along a new gap-based Wasserstein metric, implying unique minimizers for logarithmic and Riesz interactions and exponential convergence...

  2. Invariant transports of stationary random measures: asymptotic variance, hyperuniformity, and examples

    math.PR 2025-06 conditional novelty 7.0 of 10

    A general mixing criterion shows which random transports preserve asymptotic variance, yielding a procedure that turns any ergodic point process into a hyperuniform one.

  3. Hyperuniform random measures, transport and rigidity

    math.PR 2025-10 conditional novelty 2.0 of 10

    A lecture-note survey unifying the spectral, transport, and rigidity sides of hyperuniform random measures, with worked proofs for emblematic models such as the Ginibre ensemble, Sine-β processes, and Gaussian analyti...

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