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相关论文: Parametric Level Correlations in Random-Matrix Mod…

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We study the dependence on the spatial dimensionality of different quantities relevant in the description of the Anderson transition by combining numerical calculations in a $3 \leq d \leq 6$ disordered tight binding model with theoretical…

无序系统与神经网络 · 物理学 2009-11-11 Antonio M. Garcia-Garcia , Emilio Cuevas

We study various corrections of correlation functions to leading order in conformal perturbation theory, both on the cylinder and on the plane. Many problems on the cylinder are mathematically equivalent to those in the plane if we give the…

高能物理 - 理论 · 物理学 2016-07-08 David Berenstein , Alexandra Miller

We show that the two-dimensional density-matrix renormalization analysis is useful to detect the symmetry breaking in the fermionic model on a triangular lattice. Under the cylindrical boundary conditions with chemical potentials on edge…

强关联电子 · 物理学 2015-05-13 S. Nishimoto , C. Hotta

Spin ladders are key models that act as intermediaries between one-dimensional and two-dimensional spin systems. In this study, we examine a coupled spin-$1/2$ ladder, where frustrated ladders with leg, rung, and diagonal interactions are…

强关联电子 · 物理学 2026-02-17 Manas Ranjan Mahapatra , Rakesh Kumar

We reveal a new mechanism of conformal symmetry breaking at Born level. It occurs in generalized form factors with several local operators and an on-shell state of massless particles. The effect is due to hidden singularities on collinear…

高能物理 - 理论 · 物理学 2018-05-09 Dmitry Chicherin , Emery Sokatchev

We consider the effect of a local perturbation on the energy levels of a system described by random matrix theory. An analytic expression for the joint distribution function of initial and final energy levels is obtained. In the case of…

介观与纳米尺度物理 · 物理学 2009-10-30 I. L. Aleiner , K. A. Matveev

Parameter-dependent models arise in many contexts such as uncertainty quantification, sensitivity analysis, inverse problems or optimization. Parametric or uncertainty analyses usually require the evaluation of an output of a model for many…

数值分析 · 数学 2018-10-22 Anthony Nouy

The lack of deviations from the Standard Model at the current level of experimental precision can be explained systematically in suitable models of dynamical electro-weak symmetry breaking. The key ingredient is dynamics which produces a…

高能物理 - 唯象学 · 物理学 2016-09-06 M. Lindner

We study interfacial behavior of a lamellar (stripe) phase coexisting with a disordered phase. Systematic analytical expansions are obtained for the interfacial profile in the vicinity of a tricritical point. They are characterized by a…

软凝聚态物质 · 物理学 2009-10-31 Simon Villain-Guillot , David Andelman

A general field-theoretical description of many-fermion systems, with or without quenched disorder, is developed. Starting from the Grassmannian action for interacting fermions, we first bosonize the theory by introducing composite matrix…

强关联电子 · 物理学 2014-10-13 D. Belitz , T. R. Kirkpatrick

Topological phases of matter remain a focus of interest due to their unique properties -- fractionalisation, ground state degeneracy, and exotic excitations. While some of these properties can occur in systems of free fermions, their…

The $\mathcal{PT}$ symmetry breaking threshold in discrete realizations of systems with balanced gain and loss is determined by the effective coupling between the gain and loss sites. In one dimensional chains, this threshold is maximum…

量子物理 · 物理学 2018-04-13 Kaustubh S. Agarwal , Rajeev K. Pathak , Yogesh N. Joglekar

Recently, Chatterjee has introduced a new coefficient of correlation which has several natural properties. In particular, the coefficient attains its maximal value if and only if one variable is a measurable function of the other variable.…

统计理论 · 数学 2020-10-22 Sky Cao , Peter J. Bickel

The Hartree-Fock approximation to the many-fermion problem can break exact symmetries, and in some cases by changing a parameter in the interaction one can drive the Hartree-Fock minimum from a symmetry-breaking state to a…

核理论 · 物理学 2009-09-11 Calvin W. Johnson , Ionel Stetcu

The success of gradient descent in ML and especially for learning neural networks is remarkable and robust. In the context of how the brain learns, one aspect of gradient descent that appears biologically difficult to realize (if not…

神经与进化计算 · 计算机科学 2022-04-12 Shivam Garg , Santosh S. Vempala

Rank two parametric perturbations of operators and matrices are studied in various settings. In the finite dimensional case the formula for a characteristic polynomial is derived and the large parameter asymptotics of the spectrum is…

泛函分析 · 数学 2016-05-03 Anna Kula , Michal Wojtylak , Janusz Wysoczański

The spectral form factor (SFF) plays a crucial role in revealing the statistical properties of energy level distributions in complex systems. It is one of the tools to diagnose quantum chaos and unravel the universal dynamics therein. The…

统计力学 · 物理学 2024-01-17 Zhiyang Wei , Chengming Tan , Ren Zhang

This Letter introduces a generalization of known duplication-divergence models for growing random graphs. This general duplication-divergence model includes a new coupled divergence asymmetry rate, which allows to obtain the structure of…

统计力学 · 物理学 2024-12-04 Dario Borrelli

Quantum paramagnets are strongly-correlated phases of matter where competing interactions frustrate magnetic order down to zero temperature. In certain cases, quantum fluctuations induce instead topological order, supporting, in particular,…

量子气体 · 物理学 2022-01-19 Daniel González-Cuadra

This paper investigates the limiting behaviour of degree-degree correlation metrics for sequences of random graphs under a general assumption of local convergence in probability. We establish convergence results for Pearson's correlation…

概率论 · 数学 2026-02-20 Andrei-Eugeniu Patularu , Pim van der Hoorn
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