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Hyperbolic sine-Gordon model beyond the first threshold

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arxiv 2504.07944 v2 pith:4LW6BY55 submitted 2025-04-10 math.AP math-phmath.MPmath.PR

classification math.APmath-phmath.MPmath.PR
keywords modelhyperbolicsine-gordonthresholdassociatedbeyondchaoscritical
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abstract

We study the hyperbolic sine-Gordon model, with a parameter $\be^2 > 0$, and its associated Gibbs dynamics on the two-dimensional torus. By introducing a physical space approach to the Fourier restriction norm method and establishing nonlinear dispersive smoothing for the imaginary multiplicative Gaussian chaos, we construct invariant Gibbs dynamics for the hyperbolic sine-Gordon model beyond the first threshold $\be^2 = 2\pi$. The deterministic step of our argument hinges on establishing key bilinear estimates, featuring weighted bounds for cone multipliers. Moreover, the probabilistic component involves a careful analysis of the imaginary Gaussian multiplicative chaos and reduces to integrating singularities along space-time light cones. As a by-product of our proof, we identify $\be^2 = 6\pi$ as a critical threshold for the hyperbolic sine-Gordon model, which is quite surprising given that the associated parabolic model has a critical threshold at $\be^2 =8\pi$.

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Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Fourier restriction norm method adapted to controlled paths: stochastic wave equations

    math.AP 2026-07 accept novelty 8.0 of 10

    Pathwise local well-posedness of stochastic nonlinear wave equations with multiplicative noise is established in optimal regularity ranges by unifying Fourier restriction norm methods with rough path integration.

  2. An FBSDE Construction of the Sine-Gordon EQFT for $\beta^{2} < \frac{6}{7}\, 8\pi$ and Perturbative Renormalization in the Full Subcritical Regime

    math-ph 2026-07 conditional novelty 7.0 of 10

    The 2D finite-volume sine-Gordon measure is constructed for β² < (6/7)·8π via a weak FBSDE/control problem, with an order-by-order renormalization-flow analysis valid for all β² < 8π.

  3. Probabilistic well-posedness of dispersive PDEs beyond variance blowup I: Benjamin-Bona-Mahony equation

    math.AP 2025-09 conditional novelty 7.0 of 10

    Renormalized BBM with rough Gaussian initial data converges in law to stochastic BBM forced by derivative of spatial white noise, for all regularities alpha <= 1/4.

  4. On probabilistic ill-posedness

    math.AP 2026-07 accept novelty 6.0 of 10

    The paper defines enhanced probabilistic well-posedness by imposing stability at the origin and reinterprets recent 'beyond variance blowup' results for dispersive PDEs as probabilistic ill-posedness.

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