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Fractional calculus helps 1D model mimic correlations seen in 2D phase transitions

Fractional calculus helps 1D model mimic correlations seen in 2D phase transitions

phys.org 26.10.2026 18:30 7 views
Phase transitions are strongly constrained by spatial dimension. In conventional one-dimensional systems with short-range interactions, thermal fluctuations generally prevent continuous degrees of freedom from maintainin

This article has been reviewed according to Science X's editorial process and policies. Editors have highlighted the following attributes while ensuring the content's credibility: Phase transitions are strongly constrained by spatial dimension. In conventional one-dimensional systems with short-range interactions, thermal fluctuations generally prevent continuous degrees of freedom from maintaining order over long distances.

A notable exception to conventional ordering is the Berezinskii–Kosterlitz–Thouless, or BKT, transition. Best known in two-dimensional superfluids, superconducting films, and magnetic systems, the BKT transition does not produce ordinary long-range order. Instead, the low-temperature phase exhibits correlations that decay slowly with distance.

Researchers at Kochi University of Technology have now shown that a one-dimensional mathematical model with nonlocal interactions can display correlation scaling similar to that associated with the two-dimensional BKT transition. The key ingredient is fractional calculus—a generalization of ordinary derivatives to non-integer orders. By replacing the usual spatial derivative with a half-order derivative, the researchers constructed a one-dimensional model in which distant points interact directly.

"Rather than geometrically compressing a two-dimensional system into one dimension, fractional calculus changes how information is transmitted through space," explains Professor Michikazu Kobayashi of Kochi University of Technology. "It allows a one-dimensional field to retain long-range spatial connections that are absent in an ordinary local model." The team studied a one-dimensional fractional U(1) Ginzburg–Landau model, a mathematical field theory used to describe ordering and phase transitions. To generate equilibrium states at different temperatures, they used stochastic Gross–Pitaevskii dynamics and performed large-scale simulations for several system sizes.

They then analyzed spatial correlations, Binder ratios, correlation ratios, effective exponents, and the free-energy response to an imposed phase twist. At low temperatures, correlations decayed algebraically: they weakened as a power of distance rather than disappearing exponentially. The decay exponent varied with temperature, resembling the quasi-long-range order found below a conventional BKT transition.

The work was published in the journal Mathematics on October 9, 2026. Despite the similarities in correlation scaling, the one-dimensional model does not reproduce every defining feature of the conventional two-dimensional BKT transition. In the standard two-dimensional XY model, the helicity modulus—or superfluid stiffness—remains finite in the low-temperature phase and undergoes a universal jump at the transition.

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