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相关论文: Disordered Systems and the Functional Renormalizat…

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We present a detailed discussion of a novel dynamical renormalization group scheme: the Dynamically Driven Renormalization Group (DDRG). This is a general renormalization method developed for dynamical systems with non-equilibrium critical…

凝聚态物理 · 物理学 2009-10-28 Alessandro Vespignani , Stefano Zapperi , Vittorio Loreto

We study the interplay of interactions and disorder in a one-dimensional fermion lattice coupled adiabatically to infinite reservoirs. We employ both the functional renormalization group (FRG) as well as matrix product state techniques,…

强关联电子 · 物理学 2015-09-16 C. Karrasch , J. E. Moore

These lectures contain an introduction to modern renormalization group (RG) methods as well as functional RG approaches to gauge theories. In the first lecture, the functional renormalization group is introduced with a focus on the flow…

高能物理 - 唯象学 · 物理学 2015-06-25 Holger Gies

The renormalization group (RG) constitutes a fundamental framework in modern theoretical physics. It allows the study of many systems showing states with large-scale correlations and their classification in a relatively small set of…

统计力学 · 物理学 2024-09-04 Guido Caldarelli , Andrea Gabrielli , Tommaso Gili , Pablo Villegas

Frustrated magnets are a notorious example where usual perturbative methods fail. Having recourse to an exact renormalization group approach, one gets a coherent picture of the physics of Heisenberg frustrated magnets everywhere between d=2…

统计力学 · 物理学 2009-11-07 M. Tissier , B. Delamotte , D. Mouhanna

The Renormalization Group (RG) methods are still far from being completely understood in quenched disordered systems. In order to gain insight into the nature of the phase transition of these systems, it is common to investigate simple…

无序系统与神经网络 · 物理学 2014-04-02 Aurélien Decelle , Giorgio Parisi , Jacopo Rocchi

We set up the Functional Renormalisation Group formalism for Tensorial Group Field Theory in full generality. We then apply it to a rank-3 model over U(1) x U(1) x U(1), endowed with a linear kinetic term and nonlocal interactions. The…

高能物理 - 理论 · 物理学 2015-07-09 Dario Benedetti , Joseph Ben Geloun , Daniele Oriti

Perturbation theory is a crucial tool for many physical systems, when exact solutions are not available, or nonperturbative numerical solutions are intractable. Naive perturbation theory often fails on long timescales, leading to secularly…

高能物理 - 理论 · 物理学 2021-10-01 José T. Gálvez Ghersi , Leo C. Stein

The effect of disorder on flux lattices at equilibrium is studied quantitatively in the absence of free dislocations using both the Gaussian variational method and the renormalization group. Our results for the mean square relative…

凝聚态物理 · 物理学 2016-08-31 T. Giamarchi , P. Le Doussal

The infinite disorder fixed point of the random transverse-field Ising model is expected to control the critical behavior of a large class of random quantum and stochastic systems having an order parameter with discrete symmetry. Here we…

无序系统与神经网络 · 物理学 2015-05-19 Istvan A. Kovacs , Ferenc Igloi

A recently introduced real space renormalization group technique, developed for the analysis of processes in the Kardar-Parisi-Zhang universality class, is generalized and tested by applying it to a different family of surface growth…

凝聚态物理 · 物理学 2016-08-31 G. Bianconi , M. A. Munoz , A. Gabrielli , L. Pietronero

The review presents general methods for treating complicated problems that cannot be solved exactly and whose solution encounters two major difficulties. First, there are no small parameters allowing for the safe use of perturbation theory…

高能物理 - 理论 · 物理学 2021-05-27 V. I. Yukalov

We study a model of Tensorial Group Field Theory (TGFT) on $\mathbb{R}^3$ from the point of view of the Functional Renormalisation Group. This is the first attempt to apply a renormalisation procedure to a TGFT model defined over a…

高能物理 - 理论 · 物理学 2015-12-09 Joseph Ben Geloun , Riccardo Martini , Daniele Oriti

We have developed a non-perturbative functional renormalization group approach for the random field O(N) model (RFO(N)M) that allows us to investigate the ordering transition in any dimension and for any value of N including the Ising case.…

无序系统与神经网络 · 物理学 2009-11-10 Gilles Tarjus , Matthieu Tissier

In this review article, we discuss connections between the physics of disordered systems, phase transitions in inference problems, and computational hardness. We introduce two models representing the behavior of glassy systems, the spiked…

无序系统与神经网络 · 物理学 2022-12-07 David Gamarnik , Cristopher Moore , Lenka Zdeborová

Based on our studies done on two-dimensional autonomous systems, forced non-autonomous systems and time-delayed systems, we propose a unified methodology - that uses renormalization group theory - for finding out existence of periodic…

混沌动力学 · 物理学 2015-05-19 Amartya Sarkar , J. K. Bhattacharjee , Sagar Chakraborty , Dhruba Banerjee

We consider the effect of quenched spatial disorder on systems of interacting, pinned non-Abelian anyons as might arise in disordered Hall samples at filling fractions \nu=5/2 or \nu=12/5. In one spatial dimension, such disordered anyon…

强关联电子 · 物理学 2012-06-06 C. R. Laumann , D. A. Huse , A. W. W. Ludwig , G. Refael , S. Trebst , M. Troyer

Based on the Renormalization Group method, a reduction of non integrable multi-dimensional hamiltonian systems has been performed. The evolution equations for the slowly varying part of the angle-averaged phase space density, and for the…

加速器物理 · 物理学 2008-11-26 Stephan I. Tzenov

Here is the first part of the summary of my work on random Ising model using real-space renormalization group (RSRG), also known as a Migdal-Kadanoff one. This approximate renormalization scheme was applied to the analysis thermodynamic…

无序系统与神经网络 · 物理学 2017-02-15 A. N. Samukhin

Two very different problems that can be studied by renormalization group methods are discussed with the aim of showing the conceptual unity that renormalization group has introduced in some areas of theoretical Physics. The two problems…

统计力学 · 物理学 2008-02-26 Giovanni Gallavotti