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The renormalization group (RG) is a powerful theoretical framework developed to consistently transform the description of configurations of systems with many degrees of freedom, along with the associated model parameters and coupling…

统计力学 · 物理学 2026-04-20 Andrea Gabrielli , Diego Garlaschelli , Subodh P. Patil , M. Ángeles Serrano

We calculate the wave-function renormalization in 2-dimensional O(3) sigma model, non- perturbatively. It is evaluated in a box with a finite spatial extent. We determine the anomalous dimension in the finite volume scheme through an…

高能物理 - 格点 · 物理学 2018-06-20 Sergio Calle Jimenez , Makoto Oka , Kiyoshi Sasaki

Structured non-convex learning problems, for which critical points have favorable statistical properties, arise frequently in statistical machine learning. Algorithmic convergence and statistical estimation rates are well-understood for…

机器学习 · 统计学 2020-07-31 Lu Yu , Krishnakumar Balasubramanian , Stanislav Volgushev , Murat A. Erdogdu

We study the impact of a random quenched potentials and torques on scalar active matter. Microscopic simulations reveal that motility-induced phase separation is replaced in two-dimensions by an asymptotically homogeneous phase with…

统计力学 · 物理学 2021-02-02 Sunghan Ro , Yariv Kafri , Mehran Kardar , Julien Tailleur

Applying standard Markov chain Monte Carlo (MCMC) algorithms to large data sets is computationally infeasible. The recently proposed stochastic gradient Langevin dynamics (SGLD) method circumvents this problem in three ways: it generates…

统计方法学 · 统计学 2015-09-22 Sebastian J. Vollmer , Konstantinos C. Zygalakis , and Yee Whye Teh

We propose a renormalization group (RG) approach to compare and collapse eigenvalue densities of random matrix models of complex systems across different system sizes. The approach is to fix a natural spectral scale by letting the model…

统计力学 · 物理学 2026-05-01 Philipp Fleig

One of the most effective orthogonal moments, discrete Racah polynomials (DRPs) and their moments are used in many disciplines of sciences, including image processing, and computer vision. Moments are the projections of a signal on the…

数值分析 · 数学 2023-02-02 Basheera M. Mahmmod , Sadiq H. Abdulhussain , Tomáš Suk

New qualitative picture of vortex length-scale dependence has been found in recent electrical transport measurements performed on strongly anisotropic BSCCO single crystals in zero magnetic field. This indicates the need for a better…

高能物理 - 理论 · 物理学 2009-11-11 I. Nandori , K. Sailer

Phase retrieval is an important problem with significant physical and industrial applications. In this paper, we consider the case where the magnitude of the measurement of an underlying signal is corrupted by Gaussian noise. We introduce a…

最优化与控制 · 数学 2022-05-03 Jianwei Niu , Hok Shing Wong , Tieyong Zeng

We show that an appropriate description of the non-equilibrium dynamics of disordered systems is obtained through a strong disorder renormalization procedure in {\it configuration space}, that we define for any master equation with…

无序系统与神经网络 · 物理学 2008-10-08 Cecile Monthus , Thomas Garel

We propose a novel framework for approximating the statistical properties of turbulent flows by combining variational methods for the search of unstable periodic orbits with resolvent analysis for dimensionality reduction. Traditional…

混沌动力学 · 物理学 2025-01-22 Thomas Burton , Sean Symon , Ati Sharma , Davide Lasagna

It is well known that soft singularities of massless amplitudes are significantly simpler than those of massive ones. However, the computation of the soft anomalous dimension (AD) using Wilson-lines correctors is only straightforward in the…

高能物理 - 唯象学 · 物理学 2025-09-23 Einan Gardi , Zehao Zhu

Strong Disorder Renormalization is an energy-based renormalization that leads to a complicated renormalized topology for the surviving clusters as soon as $d>1$. In this paper, we propose to include Strong Disorder Renormalization ideas…

无序系统与神经网络 · 物理学 2012-05-04 Cecile Monthus , Thomas Garel

We study the velocity-dependent cusp anomalous dimension in supersymmetric Yang-Mills theory. In a paper by Correa, Maldacena, Sever, and one of the present authors, a scaling limit was identified in which the ladder diagrams are dominant…

高能物理 - 理论 · 物理学 2015-06-05 J. M. Henn , T. Huber

We find complete solutions of S-matrix bootstrap equations for the scatterings of massless particles in (1+1) dimensions with A_n symmetries. We show that only three types (minimal, diagonal, and saturated cases) of these S-matrices can…

高能物理 - 理论 · 物理学 2025-09-26 Changrim Ahn

We derive the renormalization group evolution of the quartic scalar theory with spontaneous symmetry breaking from an alternative flow equation, obtained within the externally sourced two-particle irreducible framework due to Garbrecht and…

高能物理 - 理论 · 物理学 2019-08-07 Elizabeth Alexander , Peter Millington , Jordan Nursey , Paul M. Saffin

The renormalization group and operator product expansion are applied to the model of a passive scalar quantity advected by the Gaussian self-similar velocity field with finite, and not small, correlation time. The inertial-range energy…

混沌动力学 · 物理学 2009-11-07 L. Ts. Adzhemyan , N. V. Antonov , J. Honkonen

We revisit analytical methods for constraining the nonperturbative $S$-matrix of unitary, relativistic, gapped theories in $d \geq 3$ spacetime dimensions. We assume extended analyticity of the two-to-two scattering amplitude and use it…

高能物理 - 理论 · 物理学 2020-06-16 Miguel Correia , Amit Sever , Alexander Zhiboedov

A formula for the two-loop infrared singularities of dimensionally regularized QCD scattering amplitudes with an arbitrary number of massive and massless legs is derived. The singularities are obtained from the solution of a…

高能物理 - 唯象学 · 物理学 2014-11-18 Thomas Becher , Matthias Neubert

The modern S-Matrix Bootstrap provides non-perturbative bounds on low-energy aspects of scattering amplitudes, leveraging the constraints of unitarity, analyticity and crossing. Typically, the solutions saturating such bounds also saturate…

高能物理 - 理论 · 物理学 2023-10-12 António Antunes , Miguel S. Costa , José Pereira
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