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math.PR — Probability

The Ultimate Matching Theorem

Contributed by Michael Goldman, Francesco Grotto, Dario Trevisan

Let X1,…,XNX_1,\dots,X_N be independent uniform points in the unit square, matched either to an evenly spread deterministic configuration or to a second independent sample. For exponents α1,α2>2\alpha_1,\alpha_2>2 with 1/α1+1/α2=1/21/\alpha_1+1/\alpha_2=1/2, we prove that with probability tending to one a single permutation controls the jjth coordinate displacements in the exponential Orlicz norm of exponent αj\alpha_j, at the scale log⁡N/N\sqrt{\log N/N}, for both j=1,2j=1,2. This settles Talagrand's Ultimate Matching Conjecture for all pairs of finite critical exponents. The proof constructs, on the flat torus, a current whose divergence is Gaussian white noise projected on a dyadic grid and whose coordinates have the critical anisotropic exponential Orlicz bounds, and transfers it to matching through a primal optimal-transport reduction. At the hard endpoints (2,∞)(2,\infty) and (∞,2)(\infty,2) the conjecture fails: a Brownian local-time construction shows that the normalized optimal matching cost diverges in probability.

Primarily AI-generated textHuman understanding: some parts
Nov 11, 202670 pages
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