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We generalized systematically the renormalized mean field theory in the case of uniform states to the unrestricted case of general inhomogeneous states with competing spin-, charge- and superconducting orders. Applying the theory to…

Superconductivity · Physics 2009-11-11 Qiang-Hua Wang , Z. D. Wang , Yan Chen , Fu-Chun Zhang

We present a renormalization scheme which simplifies the dynamics of an important class of interacting multi-qubit systems. We show that a wide class of M+1 qubit systems can be reduced to an equivalent n+1 qubit system with n equal to, or…

Quantum Physics · Physics 2010-01-21 Alexandra Olaya-Castro , Chiu Fan Lee , Neil F. Johnson

Nonlocal effective interactions are inherent to non-relativistic quantum many-body systems, but their systematic resummation poses a significant challenge known as the ``vertex problem" in many-body perturbation theory. We introduce a…

Strongly Correlated Electrons · Physics 2024-07-23 Kun Chen

Forward and inverse models are used throughout different engineering fields to predict and understand the behaviour of systems and to find parameters from a set of observations. These models use root-finding and minimisation techniques…

Computational Engineering, Finance, and Science · Computer Science 2023-08-08 Preslav Aleksandrov

The aim of this paper is to provide a largely self-contained, compact and comprehensible introduction to the basic ideas behind correlation geometry, which underlies the theory of causal fermion system (CFS). A key focus here is on the…

Mathematical Physics · Physics 2026-04-21 Claudio F. Paganini

An extension of the renormalization group method that includes the effect of retardation for the interactions of a fermion gas is used to re-examine the quantum and classical properties of Peierls- like states in one dimension. For models…

Strongly Correlated Electrons · Physics 2008-01-29 H. Bakrim , C. Bourbonnais

We review the theory of renormalization, including perturbative renormalization, regularized functional integrals, Renormalization Group and rigorous renormalization.

High Energy Physics - Theory · Physics 2023-12-19 V. Mastropietro

A new category of phenomena is predicted in which fermions of different flavours can transmute into one another, for example $e \to \mu$ or $e \to \tau$, as a consequence of the `rotating' mass matrix due to renormalization. As examples,…

High Energy Physics - Phenomenology · Physics 2007-05-23 S. T. Tsou , H. M. Chan

The idea of reduction of couplings in renormalizable theories will be presented and then will be applied in Particle Physics models. Reduced couplings appeared as functions of a primary one, compatible with the renormalization group…

High Energy Physics - Phenomenology · Physics 2019-07-24 Sven Heinemeyer , Myriam Mondragón , Nick Tracas , George Zoupanos

We formulate a local picture of strongly correlated systems as a Feynman sum over atomic configurations. The hopping amplitudes between these atomic configurations are identified as the renormalization group charges, which describe the…

Condensed Matter · Physics 2015-06-25 Gabriel Kotliar , Qimiao Si

The importance and usefulness of renormalization are emphasized in nonrelativistic quantum mechanics. The momentum space treatment of both two-body bound state and scattering problems involving some potentials singular at the origin…

High Energy Physics - Theory · Physics 2008-11-26 Sadhan K. Adhikari , Angsula Ghosh

This perspective article elucidates both the importance and the implications of relativistic spacetime crystals as well as the renormalized blended coordinates transformation. It alludes to possible applications in materials science,…

Popular Physics · Physics 2021-07-01 Martin Bojowald , Avadh Saxena

We argue that the choice of an appropriate, massive, renormalization scheme can greatly improve the apparent convergence of perturbation theory at finite temperature. This is illustrated by the calculation of the pressure of a scalar field…

High Energy Physics - Phenomenology · Physics 2018-05-09 Jean-Paul Blaizot , Nicolas Wschebor

We aim here to show that reductionism and emergence play a complementary role in understanding natural processes and in the dynamics of science explanation. In particular, we will show that the renormalization group - one of the most…

General Physics · Physics 2010-01-04 Ignazio Licata

Renormalization-group theory stands, since over 40 years, as one of the pillars of modern physics. As such, there should be no remaining doubt regarding its validity. However, finite-size scaling, which derives from it, has long been poorly…

Statistical Mechanics · Physics 2016-03-23 E. J. Flores-Sola , B. Berche , R. Kenna , M. Weigel

Renormalization group methods are used to study the low-energy behavior of the unscreened Coulomb interaction in a one-dimensional electron system. By applying a GW approximation, a strong wavefunction renormalization is found in the model,…

Strongly Correlated Electrons · Physics 2007-05-23 S. Bellucci , J. Gonzalez

Similarities between models of fragmenting nuclei and disordered systems in condensed matter suggest corresponding methods. Several theoretical models of fragmentation investigated in this fashion show marked differences, indicating…

Nuclear Theory · Physics 2008-11-26 K. C. Chase , P. Bhattacharyya , A. Z. Mekjian

Understanding the large-scale physics is crucial for the spin foam approach to quantum gravity. We tackle this challenge from a statistical physics perspective using simplified, yet feature-rich models. In particular, this allows us to…

General Relativity and Quantum Cosmology · Physics 2015-06-03 Bianca Dittrich , Frank C Eckert

Apart from the qualitative features described in \cite{chm}, the renormalization group equation derived for the rotation of the fermion mass matrices are amenable to quantitative study. The equation depends on a coupling and a fudge factor…

High Energy Physics - Phenomenology · Physics 2015-08-19 HM Chan , ST Tsou

The subject of features normalization plays an important central role in data representation, characterization, visualization, analysis, comparison, classification, and modeling, as it can substantially influence and be influenced by all of…

Machine Learning · Computer Science 2024-09-18 Alexandre Benatti , Luciano da F. Costa
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