Pub Date : 2024-09-02DOI: 10.1088/1751-8121/ad7210
R Cartas-Fuentevilla, K Peralta-Martinez, D A Zarate-Herrada, J L A Calvario-Acocal
It is shown that the standard sin/sinh Gordon field theory with the strong/weak duality symmetry of its quantum S-matrix, can be formulated in terms of elliptic functions with their duality symmetries, which will correspond to the classical realization of that quantum symmetry. Specifically we show that the so called self-dual point that divides the strong and the weak coupling regimes, corresponds only to one point of a set of fixed points under the duality transformations for the elliptic functions. Furthermore, the equations of motion can be solved in exact form in terms of the inverse elliptic functions; in spontaneous symmetry breaking scenarios, these solutions show that kink-like solitons can decay to cusp-like solitons.
研究表明,具有量子 S 矩阵强/弱对偶对称性的标准 sin/sinh 戈登场论可以用椭圆函数及其对偶对称性来表述,这将对应于量子对称性的经典实现。具体来说,我们证明了划分强耦合和弱耦合状态的所谓自偶点只对应于椭圆函数对偶变换下一组固定点中的一个点。此外,运动方程可以用反椭圆函数的精确形式求解;在自发对称性破缺的情况下,这些求解表明类激波孤子可以衰减为类尖顶孤子。
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Pub Date : 2024-09-02DOI: 10.1088/1751-8121/ad72ba
Kenta Shiina, Hiroyuki Mori, Yutaka Okabe, Hwee Kuan Lee
We present a super-resolution method for spin systems using a flow-based generative model that is a deep generative model with reversible neural network architecture. Starting from spin configurations on a two-dimensional square lattice, our model generates spin configurations of a larger lattice. As a flow-based generative model precisely estimates the distribution of the generated configurations, it can be combined with Monte Carlo simulation to generate large lattice configurations according to the Boltzmann distribution. Hence, the long-range correlation on a large configuration is reduced into the shorter one through the flow-based generative model. This alleviates the critical slowing down near the critical temperature. We demonstrated an 8 times increased lattice size in the linear dimensions using our super-resolution scheme repeatedly. We numerically show that by performing simulations for