2022
DOI: 10.48550/arxiv.2211.03735
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Hyperbolic $P(Φ)_2$-model on the plane

Abstract: We study the hyperbolic Φ k+1 2 -model on the plane. By establishing coming down from infinity for the associated stochastic nonlinear heat equation (SNLH) on the plane, we first construct a Φ k+1 2 -measure on the plane as a limit of the Φ k+1 2 -measures on large tori. We then study the canonical stochastic quantization of the Φ k+1 2 -measure on the plane thus constructed, namely, we study the defocusing stochastic damped nonlinear wave equation forced by an additive space-time white noise (= the hyperbolic… Show more

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Cited by 3 publications
(3 citation statements)
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“…While important milestones for the local well posedness theory for canonical stochastic quantisation equations are progressively been achieved, global well posedness and ergodicity results are both very rare. Indeed, local well posedness for equation (SDNLW) has been proven in [20] on T 2 , in [40,35] on R 2 , and in [34] on a general 2-dimensional compact manifold. A series of 3-dimensional results have been proven in [21] and [33] for the equation with quadratic nonlinearity, in [32,3,36] for cubic nonlinearities under the addition of some smoothing in the equation, and finally in [4] for the canonical stochastic quantisation equation for the Φ 4 3 measure.…”
Section: Introductionmentioning
confidence: 99%
“…While important milestones for the local well posedness theory for canonical stochastic quantisation equations are progressively been achieved, global well posedness and ergodicity results are both very rare. Indeed, local well posedness for equation (SDNLW) has been proven in [20] on T 2 , in [40,35] on R 2 , and in [34] on a general 2-dimensional compact manifold. A series of 3-dimensional results have been proven in [21] and [33] for the equation with quadratic nonlinearity, in [32,3,36] for cubic nonlinearities under the addition of some smoothing in the equation, and finally in [4] for the canonical stochastic quantisation equation for the Φ 4 3 measure.…”
Section: Introductionmentioning
confidence: 99%
“…To conquer the issue of the unboundedness of the noise, they used weighted Sobolev and Besov spaces and obtained a weighted H 2 a-priori bound for v ε with a logarithmic loss in ε. This approach of using the weighted Besov spaces in the study of stochastic PDEs was also used in [20,21,30,34]. In the case of the NLS (1.1), such an approach requires more assumptions on the regularity of the initial datum than those on the T 2 setting.…”
Section: Nls With Multiplicative Space White Noisementioning
confidence: 99%
“…To conquer the issue of the unboundedness of the noise, they used weighted Sobolev and Besov spaces and obtained a weighted H 2 a priori bound for v ε with a logarithmic loss in ε. This approach of using the weighted Besov spaces in the study of stochastic PDEs was also used in [16,17,20,21]. In the case of the NLS (1.1), such an approach requires more assumptions on the regularity of the initial data than those on the T 2 setting.…”
mentioning
confidence: 99%