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The effect of interactions near the coincidence of two Landau levels with opposite spins at filling factor 1/2 is investigated. By mapping to Composite Fermions it is shown that the fluctuations of the gauge field induces an effective…

Mesoscale and Nanoscale Physics · Physics 2009-11-07 E. Mariani , N. Magnoli , F. Napoli , M. Sassetti , B. Kramer

It is shown that the Goldstone modes associated with a broken continuous symmetry lead to anomalously large fluctuations of the zero field order parameter at any temperature below T_c. In dimensions 2<d<4, the variance of the extensive…

Statistical Mechanics · Physics 2009-11-10 W. Zwerger

We introduce a class of models containing robust and analytically demonstrable multifractality induced by disorder correlations. Specifically, we investigate the statistics of eigenstates of disordered tight-binding models on two classes of…

Disordered Systems and Neural Networks · Physics 2025-11-27 David E. Logan , Sthitadhi Roy

The effect of quenched disorder on the low-energy properties of various antiferromagnetic spin ladder models is studied by a numerical strong disorder renormalization group method and by density matrix renormalization. For strong enough…

Disordered Systems and Neural Networks · Physics 2009-11-07 R. Mélin , Y. -C. Lin , P. Lajkó , H. Rieger , F. Iglói

In this paper, we present a new matrix approach for the analysis of subdivision schemes whose non-stationarity is due to linear dependency on parameters whose values vary in a compact set. Indeed, we show how to check the convergence in…

Numerical Analysis · Mathematics 2015-02-26 Maria Charina , Costanza Conti , Nicola Guglielmi , Vladimir Protasov

Entanglement between blocks of energy-levels is analysed for systems exhibiting s-wave and p-wave superconductivity. We study the entanglement entropy and spectrum of a block of $\ell$ levels around the Fermi point, and also between…

Superconductivity · Physics 2014-07-16 Javier Rodríguez-Laguna , Miguel Ibáñez Berganza , Germán Sierra

Crystalline membranes are one of the rare examples of bidimensional systems in which long-range order can stabilise an ordered phase in the thermodynamic limit. By a careful analysis of the Goldstone modes counting, we propose a symmetry…

Statistical Mechanics · Physics 2019-09-11 O. Coquand

We evaluate the non-equilibrium single particle Green's functions in the steady state of the interacting resonant level model (IRLM) under the effect of an applied bias voltage. Employing the so-called auxiliary master equation approach, we…

Strongly Correlated Electrons · Physics 2019-02-27 Max E. Sorantin , Wolfgang von der Linden , Roman Lucrezi , Enrico Arrigoni

In this work, we propose an information theoretic order parameter able to characterize the presence and breaking of categorical symmetries in (1 + 1)-d rational conformal field theories (RCFT). Specifically, we compute the quantum relative…

High Energy Physics - Theory · Physics 2024-12-10 Javier Molina-Vilaplana , Pablo Saura-Bastida , Germán Sierra

In this work we study spontaneous symmetry breaking patterns in tensor models. We focus on the patterns which lead to effective matrix theories transforming in the adjoint of $U(N)$. We find the explicit form of the Goldstone bosons which…

High Energy Physics - Theory · Physics 2019-01-30 P. Diaz , J. A. Rosabal

We study the pairing Hamiltonian in a set of non degenerate levels. First, we review in the path integral framework the spontaneous breaking of the U(1) symmetry occurring in such a system for the degenerate situation. Then the behaviors…

Nuclear Theory · Physics 2008-11-26 M. B. Barbaro , R. Cenni , S. Chiacchiera , A. Molinari , F. Palumbo

Increasing practical interest has been shown in regression problems where the errors, or disturbances, are centred in a way that reflects particular characteristics of the mechanism that generated the data. In economics this occurs in…

Statistics Theory · Mathematics 2009-09-07 Peter Hall , Ingrid Van Keilegom

Rotational levels of molecular free radicals can be tuned to degeneracy using laboratory-scale magnetic fields. Because of their intrinsically narrow width, these level crossings of opposite-parity states have been proposed for use in the…

Contrary to conventional wisdom, level repulsion in semiclassical spectrum is not just a feature of classically chaotic systems, but classically integrable systems as well. While in chaotic systems level repulsion develops on a scale of the…

Quantum Physics · Physics 2011-03-16 Tao Ma , R. A. Serota

In an earlier work we had considered a Gaussian ensemble of random matrices in the presence of a given external matrix source. The measure is no longer unitary invariant and the usual techniques based on orthogonal polynomials, or on the…

Statistical Mechanics · Physics 2009-10-31 E. Brezin , S. Hikami

Exactly solvable model of disordered system representing the generalized Lloyd model with correlated random potential is described. It is shown, that for the model under consideration, the averaged Green's function does not depend on random…

Disordered Systems and Neural Networks · Physics 2015-06-18 G. G. Kozlov

The Kyoto group (Jimbo, Miwa, Nakayashikiet al.) showed that the partition function and correlation funtions of the eight-vertex model in antiferromagnetic phases can be calculated using simple analytical properties of the $R$-matrix. We…

High Energy Physics - Theory · Physics 2008-02-03 M. Yu. Lashkevich

We contemplate the pair of the purely imaginary delta-function potentials on a finite interval with Dirichlet boundary conditions. The two parameter model exhibits nicely the expected quantitative features of the unavoided level crossing…

Quantum Physics · Physics 2007-05-23 Vit Jakubsky , Miloslav Znojil

The step-growth polymerisation of a mixture of arbitrary-functional monomers is viewed as a time-continuos random graph process with degree bounds that are not necessarily the same for different vertices. The sequence of degree bounds acts…

Combinatorics · Mathematics 2019-08-21 Ivan Kryven

We argue that the vulnerability of model parameters is of crucial value to the study of model robustness and generalization but little research has been devoted to understanding this matter. In this work, we propose an indicator to measure…

Machine Learning · Computer Science 2020-12-11 Xu Sun , Zhiyuan Zhang , Xuancheng Ren , Ruixuan Luo , Liangyou Li