Probability and statistical mechanics·OpenAI Math·Result 216
Critical and near-critical XY scaling and BKT universality
One of the 372 results in OpenAI's public mathematics catalogue, filed under probability and statistical mechanics: 6 preprints, the latest dated 5 October 2026. This page quotes OpenAI's own summary of the claim, links the papers and abstracts, and will embed the animation.
Latest paper
The critical logarithmic correction for the planar XY model
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What OpenAI claims
For the square-lattice nearest-neighbor cosine XY model, proves critical axis correlations Cβc(r) ∼ Ar-1/4(log r)1/8 and the Berezinskii–Kosterlitz–Thouless essential singularity √(βc-β) log ξ(β) → B, with A,B > 0 after the free-box thermodynamic limit. For finite square-symmetric interactions containing nearest neighbors, discrete Gaussian heights converge to Gaussian fields throughout the rough phase, including its threshold, along geometric torus sizes. Critical center-magnetization and spin-field conclusions retain their stated height, renormalization, and field-input assumptions.
Papers (6)
The critical logarithmic correction for the planar XY model
We prove the critical logarithmic correction for the nearest-neighbor cosine XY model on the square lattice. Let Cbc(r) be the two-point correlation at critical inverse temperature, obtained by taking the free-box thermodynamic limit while the two sites remain r lattice steps apart along a coordinate axis. Then
Critical Center Magnetization in the Planar XY Model
Assuming the stated critical-height, local-renormalization, and spin-field inputs from the companion papers, we determine the center magnetization of the planar XY model in a square with aligned boundary spins at its mass-defined critical threshold. As n → ∞, the magnetization is AXYn-1/8(log n)1/16(1+o(1)), where AXY is a finite, strictly positive model-specific constant.
The Critical Spin Field of the Planar XY Model
Using the companion critical Bessel-height and pin-limit theorems, we prove that at the mass-defined critical inverse temperature of the nearest-neighbor XY model on the square lattice, the spin field on a square with boundary angles fixed to zero converges along the full sequence to the full-variance imaginary exponential of a zero-Dirichlet Gaussian free field with stiffness 2/π. The normalization uses the exact center magnetization and the lattice Green-function factor. Convergence holds in law in H-3loc((-1,1)2); all mixed moments and joint laws of fields smeared against smooth compactly supported test functions in (-1,1)2 converge as well.
Essential Singularity of the Correlation Length in the Planar XY Model
We prove the Berezinskii–Kosterlitz–Thouless essential singularity for the correlation length of the nearest-neighbor cosine XY model on the square lattice. Let m(b) be the mass obtained by taking first the free-box thermodynamic limit and then the separation limit along a coordinate axis. As the inverse temperature b approaches bc from the massive side,
The critical correlation exponent of the planar XY model
For the ordinary nearest-neighbor XY model on the square lattice, we prove the Berezinskii–Kosterlitz–Thouless prediction that the critical spin-correlation exponent is 1/4. More precisely, at the mass-defined critical inverse temperature, the infinite-volume correlation is n-1/4+o(1). The infinite-volume limit through free square boxes is taken before the separation limit.
BKT universality for height and planar spin fields
We prove Gaussian scaling limits for the two-dimensional discrete Gaussian height model throughout its rough phase, including the physical roughening threshold, for every finite square-symmetric interaction set containing the nearest neighbors. After the natural lattice normalization, the critical effective temperature has the universal value 8π. For the ordinary nearest-neighbor Villain and XY models at sufficiently low fixed temperatures, we also prove that their Green-function-normalized spin fields converge to the imaginary exponential of a Dirichlet Gaussian free field.
Status
Preprint. The papers have not been independently reviewed. Treat the result as OpenAI's claim until other mathematicians have checked it. If a video exists, it illustrates the statement; it is not the proof.
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