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arXiv 2405.09397math.APmath.COmath.PR
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带幂代价函数的随机二维二分匹配的精确PDE估计

Sharp PDE estimates for random two-dimensional bipartite matching with power cost function

Luigi Ambrosio, Federico Vitillaro, Dario Trevisan

AI总结:

该研究将二维随机二分最优匹配的二次代价情形假设推广到q-泊松型非线性方程,建立了PDE解能量与最优输运代价的渐近联系,深化了对其渐近行为的理解。

摘要:

我们研究了二维平坦环面上的随机二分最优匹配问题,考虑了距离的一般严格凸幂代价函数。我们将Caracciolo等人首次针对二次情形提出的、涉及线性泊松方程的有效假设,推广到一类$q$-泊松型非线性方程,从而能够对最优输运代价进行更全面的分析。我们的结果建立了偏微分方程(PDE)解的能量与最优输运代价之间新的渐近联系,为理解它们的渐近行为提供了见解。

英文摘要:

We investigate the random bipartite optimal matching problem on a flat torus in two-dimensions, considering general strictly convex power costs of the distance. We extend the successful ansatz first introduced by Caracciolo et al. for the quadratic case, involving a linear Poisson equation, to a non-linear equation of $q$-Poisson type, allowing for a more comprehensive analysis of the optimal transport cost. Our results establish new asymptotic connections between the energy of the solution to the PDE and the optimal transport cost, providing insights on their asymptotic behavior.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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